EE 359: Wireless Communications Announcements and Course Summary
|
|
- Julianna Snow
- 5 years ago
- Views:
Transcription
1 EE 359: Wireless Communications Announcements and Course Summary
2 Announcements l Last HW and bonus HW questions due Sunday 12/10 at 4 pm (no late HWs). l Final projects must be posted 12/9 (Sat) at midnight. l 25 bonus points for course evaluations (online) l Final 12/13/2017, 12:15-3:15pm in Thornton 102 (here) Covers Chapters 9, 10, 12, , 13.4, , (+ earlier chps) l Similar format to MT, but longer: open book, notes. l If you need a book or calculator, let us know by 12/8 (Fri) l Practice finals posted (10 bonus points). Turn in for solns, by exam for bonus pts Final review and discussion section: Monday, 12/11, 2-4pm, Packard 364.
3 OHs leading up to final exam l Mine l This week: today after class, Fri 12-1pm & by appt. l Next week: Sun 12/10: 5-6pm, Tue 12/11 10:30-12 & by appt. l TAs: l Thursday, 12/7, 5-6pm Milind OH l Thursday, 12/7, 6-7pm Milind OH l Saturday, 12/9, 2-4pm Tom OH (HW8 + Exam questions) l Monday, 12/11, 2-4pm Final review l Monday, 12/11, 4-6pm Tom OH l Tuesday, 12/12 2-4pm Milind OH l Wednesday, 12/13, 9:30am-11:30am, Tom OH
4 Course Summary l l l l l l l l Signal Propagation and Channel Models Modulation and Performance Metrics Impact of Channel on Performance Fundamental Capacity Limits Flat Fading Mitigation: Diversity and Adaptive Modulation ISI Mitigation l Equalization (not covered) l Multicarrier Modulation/OFDM l Spread Spectrum Multiuser Systems l Multiple access: time/frequency/code/space division l Random access Cellular Systems l Multiuser Detection l Area Spectral Efficiency
5 Future Wireless Networks Wireless Internet access Nth generation Cellular Wireless Ad Hoc Networks Sensor Networks Wireless Entertainment Smart Homes/Spaces Automated Highways All this and more Ubiquitous Communication Among People and Devices Hard Delay/Energy Constraints Hard Rate Requirements
6 Design Challenges l Wireless channels are a difficult and capacitylimited broadcast communications medium l Traffic patterns, user locations, and network conditions are constantly changing l Applications are heterogeneous with hard constraints that must be met by the network l Energy, delay, and rate constraints change design principles across all layers of the protocol stack
7 Signal Propagation l Path Loss l Free space, 2-path, general ray tracing, mmwave l Simplified model g éd ù P = ê 0 ú, 2 g r PK t 8 ë d û l Shadowing l db value is Gaussian l Find path loss exponent and shadow STD by curve fitting l Multipath l Ray tracing l Statistical model P r /P t d d=vt
8 Outage Probability and Cell Coverage Area l Path loss: circular cells l Path loss+shadowing: amoeba cells l Tradeoff between coverage and interference l Outage probability l Probability received power below given minimum l Cell coverage area l % of cell locations at desired power l Increases as shadowing variance decreases l Large % indicates interference to other cells P r
9 Statistical Multipath Model l l l Random # of multipath components, each with varying amplitude, phase, doppler, and delay Leads to time-varying channel impulse response c( t, t) = åa n( t) e n= 1 Narrowband channel N - jj ( t ) d ( t -t ( t)) l No signal distortion, just a complex amplitude gain l Signal amplitude varies randomly (Rayleigh, Ricean, Nakagami). l 2 nd order statistics (Bessel function), Average fade duration n n
10 Wideband Channels l Individual multipath components resolvable l True when time difference between components exceeds signal bandwidth Dt >>1/ B u B u >> B c Dt 1 Dt 2 Wideband l Scattering function t s(t,r)=f Dt [A c (t,dt)] l Yields delay spread/coherence BW (s t ~1/B c ) l Yields Doppler spread/coherence time (B d ~1/T c ) r A c (f) 0 Bc Doppler Power Spectrum t Delay Power Spectrum f
11 Capacity of Flat Fading Channels l Channel Capacity l Maximum data rate that can be transmitted over a channel with arbitrarily small error l Capacity of AWGN Channel: Blog 2 [1+g] bps l g=p r /(N 0 B) is the receiver SNR l Capacity of Flat-Fading Channels l Nothing known: capacity typically zero l Fading Statistics Known (few results) C l Fading Known at RX (average capacity) = ò 0 B ( 1+ g ) p( ) d B log (1 + ) log 2 g g g 2
12 l Capacity in Flat-Fading: g known at TX/RX C max æ gp( g ) ö = Blog2 ç1 + p( g ) dg P( g ) : E[ P( g )] = P ò 0 è P ø l Optimal Rate and Power Adaptation 1 1 ( g ) ì g - ³ 0 g g g 0 = í P î 0 else Waterfilling P 1 g 0 C B = ò g 0 log 2 æ g ö ç p( g ) dg. g è 0 ø g 0 g 1 g l The instantaneous power/rate only depend on p(g) through g 0
13 Channel Inversion l Fading inverted to maintain constant SNR l Simplifies design (fixed rate) l Greatly reduces capacity l Capacity is zero in Rayleigh fading l Truncated inversion l Invert channel above cutoff fade depth l Constant SNR (fixed rate) above cutoff l Cutoff greatly increases capacity Close to optimal
14 Frequency Selective Fading Channels l For time-invariant channels, capacity achieved by water-filling in frequency l Capacity of time-varying channel unknown l Approximate by dividing into subbands l Each subband has width B c l Independent fading in each subband l Capacity is the sum of subband capacities 1/ H(f) 2 P B c f
15 Linear Modulation in AWGN: MPSK and MQAM l ML detection induces decision regions l Example: 8PSK d min l P s depends on l # of nearest neighbors l Minimum distance d min (depends on g s ) l Approximate expression P s»a M Q ( ) b g M s
16 Linear Modulation in Fading l In fading g s and therefore P s random l Metrics: outage, average P s, combined outage and average. T s Outage P s P s(target) T s P s P s = ò Ps ( g s) p( g s) dg s
17 Moment Generating Function Approach l Simplifies average P s calculation l Uses alternate Q function representation l P s reduces to MGF of g s distribution l Closed form or simple numerical calculation for general fading distributions l Fading greatly increases average P s.
18 Doppler Effects l High doppler causes channel phase to decorrelate between symbols l Leads to an irreducible error floor for differential modulation l Increasing power does not reduce error l Error floor depends on f D T b as
19 Delay Spread (ISI) Effects l Delay spread exceeding a symbol time causes ISI (self interference) Delay T m 0 T m T s l ISI leads to irreducible error floor: 3 l Increasing signal power increases ISI power l ISI imposes data rate constraint: T s >>T m (R s <<B c ) 5
20 Diversity l Send bits over independent fading paths l Combine paths to mitigate fading effects. l Independent fading paths l Space, time, frequency, polarization diversity. l Combining techniques l Selection combining (SC) l Maximal ratio combining (MRC) l Can have diversity at TX or RX l In TX diversity, weights constrained by TX power
21 Selection Combining l Selects the path with the highest gain l Combiner SNR is the maximum of the branch SNRs. l CDF easy to obtain, pdf found by differentiating. l Diminishing returns with number of antennas. l Can get up to about 20 db of gain.
22 MRC and its Performance P l With MRC, g S =Sg i for branch SNRs g i l Optimal technique to maximize output SNR l Yields db performance gains l Distribution of g S hard to obtain l Standard average BER calculation ò l Hard to obtain in closed form l Integral often diverges l MGF Approach: òò... ò sb = Pb s( g S ) p( g S) dg S = Ps b( g S) p( g1) * p( g 2) *...* p( g M ) dg 1dg 2... dg M l TX diversity has same gains as RX diversity
23 Variable-Rate Variable-Power MQAM Uncoded Data Bits Delay log 2 M(g) Bits Point Selector One of the M(g) Points M(g)-QAM Modulator Power: S(g) To Channel g(t) g(t) BSPK 4-QAM 16-QAM Goal: Optimize S(g) and M(g) to maximize EM(g)
24 Optimal Adaptive Scheme l Power Water-Filling 1 g g 0 S( g ) ìg - gk g ³ K = g 0 K = í S î 0 else g k g 1 gk l Spectral Efficiency R B æ ö = ò log g ç p d è ø ( g ) g. 2 g g K K g Equals Shannon capacity with an effective power loss of K.
25 Constellation Restriction M D (g) M 3 M(g)=g/g K * M 2 M 1 0 Outage M 1 M 2 M 3 g 0 g 1 =M 1 g K * g 2 g 3 l Power adaptation: Pj ( g ) ì( M = í P î l Average rate: R B j -1) /( gk) N 0 g j g < g j+ 1 g < g 1, j > 0 = ålog2 M j p( g j g < g j+ 1) j= 1 g Performance loss of 1-2 db
26 Practical Constraints (not on final) l Constant power restriction l Another 1-2 db loss l Constellation updates l Need constellation constant over T s l Estimation error and delay l Lead to imperfect CSIT (assume perfect CSIR) l Causes mismatch between channel and rate l Leads to an irreducible error floor
27 Multiple Input Multiple Output (MIMO)Systems l MIMO systems have multiple (M) transmit and receiver antennas l Decompose channel through transmit precoding ~ ~ (x=vx) and receiver shaping (y=u H y) y=hx+n H=USV H ~ y=s x+n ~ ~ y~ i =s i x+n ~ ~ i l Leads to R H min(m t,m r ) independent channels with gain s i (i th singular value of H) and AWGN l Independent channels lead to simple capacity analysis and modulation/demodulation design
28 Capacity of MIMO Systems l Depends on what is known at TX and RX and if channel is static or fading l For static channel with perfect CSI at TX and RX, power water-filling over space is optimal: l In fading waterfill over space (based on short-term power constraint) or space-time (long-term constraint) l Without transmitter channel knowledge, capacity metric is based on an outage probability l P out is the probability that the channel capacity given the channel realization is below the transmission rate. l Massive MIMO: in high SNR, singular values converge to a constant: C=min(M t,m r )Blog(1+r)
29 Transforms system into a SISO system with diversity. Array and diversity gain Greatly simplifies encoding and decoding. Channel indicates the best direction to beamform Need sufficient knowledge for optimality of beamforming Precoding transmits more than 1 and less than R H streams Transmits along some number of dominant singular values Beamforming l Scalar codes with transmit precoding x v 1 v 2 x 1 x 2 u 2 u 1 y v M t x M t u M r y=u H Hvx+u H n
30 Diversity vs. Multiplexing l Use antennas for multiplexing or diversity Error Prone Low P e l Diversity/Multiplexing tradeoffs (Zheng/Tse) lim SNR log P e ( SNR) = - d log SNR R(SNR) lim = r SNR logsnr d * (r) = (M t - r)(m r - r)
31 How should antennas be used? l Use antennas for multiplexing: High-Rate Quantizer ST Code High Rate Decoder l Use antennas for diversity Error Prone Low-Rate Quantizer ST Code High Diversity Decoder Low P e Depends on end-to-end metric: Solve by optimizing app. metric
32 MIMO Receiver Design l l Optimal Receiver: l Maximum likelihood: finds input symbol most likely to have resulted in received vector l Exponentially complex # of streams and constellation size Linear Receivers l Zero-Forcing: forces off-diagonal elements to zero, enhances noise l Minimum Mean Square Error: Balances zero forcing against noise enhancement l Sphere Decoder: l Only considers possibilities within a sphere of received symbol. If minimum distance symbol is within sphere, optimal, otherwise null is returned xˆ = arg min y - Hx 2 xˆ = arg min x: y-hx < r y - Hx 2
33 Other MIMO Design Issues Not covered in lecture/hw/exams l Space-time coding: l Map symbols to both space and time via space-time block and convolutional codes. l For OFDM systems, codes are also mapped over frequency tones. l Adaptive techniques: l Fast and accurate channel estimation l Adapt the use of transmit/receive antennas l Adapting modulation and coding. l Limited feedback transmit precoding: l Partial CSI introduces interference in parallel decomp: can use interference cancellation at RX l TX codebook design for quantized channel
34 l Equalization ISI Countermeasures l Signal processing at receiver to eliminate ISI l Complex at high data rates, performs poorly in fast-fading l Not used in state-of-the-art wireless systems l Multicarrier Modulation l Break data stream into lower-rate substreams modulated onto narrowband flat-fading subchannels l Spread spectrum l Superimpose a fast (wideband) spreading sequence on top of data sequence, allows resolution for combining or attenuation of multipath components. l Antenna techniques (Massive MIMO) l (Highly) directional antennas reduce delay spread/isi
35 Multicarrier Modulation l Divides bit stream into N substreams l Modulates substream with bandwidth B/N l Separate subcarriers l B/N<B c flat fading (no ISI) l Requires N modulators and demodulators l Impractical: solved via OFDM implementation R bps Serial To Parallel Converter R/N bps R/N bps QAM Modulator QAM Modulator x cos(2pf 0 t) x S cos(2pf N t)
36 Overlapping Substreams l Can have completely separate subchannels l Required passband bandwidth is B. l OFDM overlaps substreams l Substreams (symbol time T N ) separated in RX l Minimum substream separation is B N. l Total required bandwidth is B/2 (for T N =1/B N ) B/N f 0 f N-1
37 FFT Implementation of OFDM l Use IFFT at TX to modulate symbols on each subcarrier l Cyclic prefix makes linear convolution of channel circular, so no interference between FFT blocks in RX processing l Reverse structure (with FFT) at receiver R bps QAM Modulator Serial To Parallel Converter X 0 X N-1 IFFT x 0 Add cyclic prefix and Parallel To Serial x N-1 Convert D/A TX x cos(2pf c t) n(t) h(t) + x cos(2pf c t) LPF A/D Remove cyclic prefix and Serial to Parallel Convert y 0 y N-1 FFT Y 0 Y N-1 Parallel To Serial Convert QAM Modulator Y i =H i X i +n i RX R bps
38 OFDM Design Issues l Timing/frequency offset: l Impacts subcarrier orthogonality; self-interference l Peak-to-Average Power Ratio (PAPR) l Adding subcarrier signals creates large signal peaks l Solve with clipping or PAPR-optimized coding l Different fading across subcarriers l Mitigate by precoding (fading inversion), adaptive modulation over frequency, and coding across subcarriers l MIMO-OFDM l Apply OFDM across each spatial dimension l Can adapt across space, time, and frequency l MIMO-OFDM represented by a matrix, extends matrix representation of OFDM alone (considered in HW)
39 MIMO-OFDM l Send OFDM symbol along each spatial dimension l MIMO diversity-capacity benefits, OFDM removes ISI l Can adapt across time, space, and frequency y=hx+n H=USV H y=s x+n l OFDM can be represented by a matrix: l Represents DFT as a matrix: y=ĥx+n, Ĥ circulant l Then vector Y=LX+n Q for L an NxN diagonal matrix l Cyclic prefix added after DFT l MIMO-OFDM matrix representation: y=hx+n l Dimensions are H: NM r x(n+µ)m t ; x: (N+µ)M t ; y,n: M r N l Extends matrix representation of OFDM (example in HW)
40 Direct Sequence Spread Spectrum l Bit sequence modulated by chip sequence s(t) s c (t) S c (f) S(f) S(f)*S c (f) T c T b =KT c l Spreads bandwidth by large factor (K) l Despread by multiplying by s c (t) again (s c (t)=1) l Mitigates ISI and narrowband interference l ISI mitigation a function of code autocorrelation l Must synchronize to incoming signal 1/T b 1/T c 2
41 ISI and Interference Rejection l Narrowband Interference Rejection (1/K) S(f) S(f)*S c (f) I(f) S(f) Info. Signal Receiver Input Despread Signal l Multipath Rejection (Autocorrelation r(t)) S(f) S(f)*S c (f)[ad(t)+b(t-t)] as(f) I(f)*S c (f) brs (f) Info. Signal Receiver Input Despread Signal l Short codes repeat every Ts, so poor multipath rejection at integer multiples of Ts l Otherwise take a partial autocorrection
42 RAKE Receiver l Multibranch receiver l Branches synchronized to different MP components y(t) x s c (t) x s c (t-it c ) Demod Demod Diversity Combiner d^ k x s c (t-nt c ) Demod l These components can be coherently combined l Use SC, MRC, or EGC
43 Multiple Access Sharing system resources across multiple users Uplink: Many Transmitters to One Receiver. x h 3 (t) R 3 Downlink: One Transmitter to Many Receivers. x h 22 (t) x h 21 (t) x h 1 (t) R 2 R 1 Uplink and Downlink typically duplexed in time or frequency Full-duplex radios are being considered for 5G systems
44 Creating Multiple Channels l Frequency Division l OFDMA Frequency Code Space Time Code Space l Time Division l Code Division l Code cross-correlation dictates interference l Multiuser Detection l Space (MIMO Systems) Frequency Frequency Code Space Time Time l Hybrid Schemes 7C Cimini-9/97
45 Code Division via DSSS l Interference between users mitigated by code cross correlation l In downlink, signal and interference have same received power l In uplink, close users drown out far users (near-far problem) ) ( ) cos(2.5.5 ) ( ) (.5.5 )) ( )cos(2 )cos(2 ( ) ( ) ( ) (2 )cos ( ) ( ) ˆ( t r t p a a t p p t t a p a c T c c c c c c T c c f d d dt t s t s d d dt t f t f t s t s t s t f t s t s t x b b + = + = = ò ò a a
46 Random Access In multiple access, channels are assigned by a centralized controller - Requires a central controller and control channel - Inefficient for short and/or infrequent data transmissions In random access, users access channel randomly when they have data to send A simple random access scheme will be explored in homework ALOHA Schemes (not covered on exam) Data is packetized. Packets occupy a given time interval Pure ALOHA send packet whenever data is available a collision occurs for any partial overlap of packets (nonorthogonal slots) Packets received in error are retransmitted after random delay interval (avoids subsequent collisions). Slotted ALOHA same as ALOHA but with packet slotting packets sent during predefined timeslots A collision occurs when packets overlap, but there is no partial overlap of packets Packets received in error are retransmitted after random delay interval.
47 Cellular System Design l l l 8C Cimini-7/98 Frequencies/time slots/codes reused at spatially-separated locations l Exploits power falloff with distance. l Best efficiency obtained with minimum reuse distance Base stations perform centralized control functions l Call setup, handoff, routing, etc. Ideally, interference results in SINR above desired target. l The SINR depends on base station locations, user locations, propagation conditions, and interference reduction techniques. l System capacity is interference-limited as SINR must be above target l MIMO introduces diversity-multiplexing-interference reduction tradeoff l Multiuser detection reduces inter/intracell interference: increases capacity
48 Multiuser Detection l Multiuser detection (MUD) exploits the fact that the structure of the interference is known l Maximum likelihood: exponentially complex in number of users N l Successive interference cancellation (SIC) Signal 1 - = Signal 2 A/D A/D A/D A/D Signal 1 Demod Signal 2 Demod Iterative Multiuser Detection - = Why not ubiquitous today? Power, A/D Precision, Error propagation
49 Area Spectral Efficiency (ASE) l System capacity due to optimal cell size and/or reuse distance: A e =SR i /(.25D 2 p) bps/hz/km 2. Area Spectral Efficiency A=.25D 2 p S/I increases with reuse distance (increases link capacity). Tradeoff between reuse distance and link spectral efficiency (bps/hz). Capacity increases exponentially as cell size decreases Future cellular systems will be hierarchical Large cells for coverage, small cells for capacity
50 Megathemes of EE359 l l l l l l The wireless vision poses great technical challenges The wireless channel greatly impedes performance l Low fundamental capacity; Channel is randomly time-varying. l Flat fading and ISI must be compensated for. Compensate for flat fading with diversity or adaptive mod. l MIMO provides diversity and/or multiplexing gain A plethora of ISI compensation techniques exist l Various tradeoffs in performance, complexity, and implementation. l OFDM is the dominant technique; works well with MIMO, basis for 4G/5G Cellular/WiFi due to adaptivity over time/space/frequency Sharing spectrum among multiple users a major challenge Cellular systems exploit frequency reuse; better physical layer design, flexibility, and interference reduction needed in 5G
EE 359: Wireless Communications Announcements and Course Summary
EE 359: Wireless Communications Announcements and Course Summary Final Exam Announcements Final 12/15/16 12:15-3:15pm in Huang 18 Covers Chapters 9-10, 12, 13.1-13.2, 13.4, 14.1-14.3, 15.1-15.3 (+ earlier
More informationEE359 Lecture 18 Outline
EE359 Lecture 18 Outline Announcements HW due Fri; last HW posted, due Friday 12/9 at 4 pm (no late HWs) MIMO decoder supplemental handout posted Lectures net week are Monday 12/5 12-1:20 (Thornton 102
More informationLecture 4 Diversity and MIMO Communications
MIMO Communication Systems Lecture 4 Diversity and MIMO Communications Prof. Chun-Hung Liu Dept. of Electrical and Computer Engineering National Chiao Tung University Spring 2017 1 Outline Diversity Techniques
More informationELEC E7210: Communication Theory. Lecture 11: MIMO Systems and Space-time Communications
ELEC E7210: Communication Theory Lecture 11: MIMO Systems and Space-time Communications Overview of the last lecture MIMO systems -parallel decomposition; - beamforming; - MIMO channel capacity MIMO Key
More informationEE360: Lecture 6 Outline MUD/MIMO in Cellular Systems
EE360: Lecture 6 Outline MUD/MIMO in Cellular Systems Announcements Project proposals due today Makeup lecture tomorrow Feb 2, 5-6:15, Gates 100 Multiuser Detection in cellular MIMO in Cellular Multiuser
More informationWireless Communication: Concepts, Techniques, and Models. Hongwei Zhang
Wireless Communication: Concepts, Techniques, and Models Hongwei Zhang http://www.cs.wayne.edu/~hzhang Outline Digital communication over radio channels Channel capacity MIMO: diversity and parallel channels
More informationTechnical Aspects of LTE Part I: OFDM
Technical Aspects of LTE Part I: OFDM By Mohammad Movahhedian, Ph.D., MIET, MIEEE m.movahhedian@mci.ir ITU regional workshop on Long-Term Evolution 9-11 Dec. 2013 Outline Motivation for LTE LTE Network
More informationCHAPTER 3 ADAPTIVE MODULATION TECHNIQUE WITH CFO CORRECTION FOR OFDM SYSTEMS
44 CHAPTER 3 ADAPTIVE MODULATION TECHNIQUE WITH CFO CORRECTION FOR OFDM SYSTEMS 3.1 INTRODUCTION A unique feature of the OFDM communication scheme is that, due to the IFFT at the transmitter and the FFT
More informationMultiple Antennas. Mats Bengtsson, Björn Ottersten. Basic Transmission Schemes 1 September 8, Presentation Outline
Multiple Antennas Capacity and Basic Transmission Schemes Mats Bengtsson, Björn Ottersten Basic Transmission Schemes 1 September 8, 2005 Presentation Outline Channel capacity Some fine details and misconceptions
More informationMultiple Access Techniques
Multiple Access Techniques Instructor: Prof. Dr. Noor M. Khan Department of Electrical Engineering, Faculty of Engineering, Mohammad Ali Jinnah University, Islamabad Campus, Islamabad, PAKISTAN Ph: +92
More informationPrinciples of Orthogonal Frequency Division Multiplexing and Multiple Input Multiple Output Communications Systems
Principles of Orthogonal Frequency Division Multiplexing and Multiple Input Multiple Output Communications Systems OFDM OFDM Material Multicarrier communications Synchronization Issues Synchronization
More informationCHAPTER 8 MIMO. Xijun Wang
CHAPTER 8 MIMO Xijun Wang WEEKLY READING 1. Goldsmith, Wireless Communications, Chapters 10 2. Tse, Fundamentals of Wireless Communication, Chapter 7-10 2 MIMO 3 BENEFITS OF MIMO n Array gain The increase
More informationPrinciples and Experiments of Communications
1 Principles and Experiments of Communications Weiyao Lin Dept. of Electronic Engineering Shanghai Jiao Tong University Textbook: Chapter 11 Lecture 06: Multicarrier modulation and OFDM Multicarrier Modulation
More informationReceiver Designs for the Radio Channel
Receiver Designs for the Radio Channel COS 463: Wireless Networks Lecture 15 Kyle Jamieson [Parts adapted from C. Sodini, W. Ozan, J. Tan] Today 1. Delay Spread and Frequency-Selective Fading 2. Time-Domain
More informationPrinciples of Multicarrier Modulation and OFDM a
Principles of Multicarrier Modulation and OFDM a Lie-Liang Yang Communications Research Group Faculty of Physical and Applied Sciences, University of Southampton, SO17 1BJ, UK. Tel: +44 23 8059 3364, Fax:
More informationEE359 Discussion Session 8 Beamforming, Diversity-multiplexing tradeoff, MIMO receiver design, Multicarrier modulation
EE359 Discussion Session 8 Beamforming, Diversity-multiplexing tradeoff, MIMO receiver design, Multicarrier modulation November 29, 2017 EE359 Discussion 8 November 29, 2017 1 / 33 Outline 1 MIMO concepts
More informationCognitive Radio Transmission Based on Chip-level Space Time Block Coded MC-DS-CDMA over Fast-Fading Channel
Journal of Scientific & Industrial Research Vol. 73, July 2014, pp. 443-447 Cognitive Radio Transmission Based on Chip-level Space Time Block Coded MC-DS-CDMA over Fast-Fading Channel S. Mohandass * and
More informationCHAPTER 6 SPREAD SPECTRUM. Xijun Wang
CHAPTER 6 SPREAD SPECTRUM Xijun Wang WEEKLY READING 1. Goldsmith, Wireless Communications, Chapters 13 2. Tse, Fundamentals of Wireless Communication, Chapter 4 2 WHY SPREAD SPECTRUM n Increase signal
More informationComparative Study of OFDM & MC-CDMA in WiMAX System
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 1, Ver. IV (Jan. 2014), PP 64-68 Comparative Study of OFDM & MC-CDMA in WiMAX
More informationMultiuser OFDM. OFDM-FDMA (a.k.a. OFDMA) OFDM. Adaptive Resource Allocation Orthogonal Subcarrier Allocation. Adaptive OFDM-FDMA
EE360: Lecture Outline Cellular Systems Announcements Project proposals due Feb. 1 (1 week) Makeup lecture Feb, -6:1, Gates Multiuser OFDM and OFDM/CDMA Cellular System Overview Design Considerations Standards
More informationEE360: Lecture 5 Outline Cellular Systems
EE360: Lecture 5 Outline Cellular Systems Announcements Project proposals due Feb. 1 (1 week) Makeup lecture Feb 2, 5-6:15, Gates Multiuser OFDM and OFDM/CDMA Cellular System Overview Design Considerations
More informationIndex. Cambridge University Press Fundamentals of Wireless Communication David Tse and Pramod Viswanath. Index.
ad hoc network 5 additive white Gaussian noise (AWGN) 29, 30, 166, 241 channel capacity 167 capacity-achieving AWGN channel codes 170, 171 packing spheres 168 72, 168, 169 channel resources 172 bandwidth
More informationOrthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels
Orthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels Prashanth G S 1 1Department of ECE, JNNCE, Shivamogga ---------------------------------------------------------------------***----------------------------------------------------------------------
More informationPart 3. Multiple Access Methods. p. 1 ELEC6040 Mobile Radio Communications, Dept. of E.E.E., HKU
Part 3. Multiple Access Methods p. 1 ELEC6040 Mobile Radio Communications, Dept. of E.E.E., HKU Review of Multiple Access Methods Aim of multiple access To simultaneously support communications between
More informationDiversity Techniques
Diversity Techniques Vasileios Papoutsis Wireless Telecommunication Laboratory Department of Electrical and Computer Engineering University of Patras Patras, Greece No.1 Outline Introduction Diversity
More informationPerformance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels
Performance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels Abstract A Orthogonal Frequency Division Multiplexing (OFDM) scheme offers high spectral efficiency and better resistance to
More informationOrthogonal Frequency Domain Multiplexing
Chapter 19 Orthogonal Frequency Domain Multiplexing 450 Contents Principle and motivation Analogue and digital implementation Frequency-selective channels: cyclic prefix Channel estimation Peak-to-average
More information6 Uplink is from the mobile to the base station.
It is well known that by using the directional properties of adaptive arrays, the interference from multiple users operating on the same channel as the desired user in a time division multiple access (TDMA)
More informationCHAPTER 3 MIMO-OFDM DETECTION
63 CHAPTER 3 MIMO-OFDM DETECTION 3.1 INTRODUCTION This chapter discusses various MIMO detection methods and their performance with CE errors. Based on the fact that the IEEE 80.11n channel models have
More informationPerformance Evaluation of STBC-OFDM System for Wireless Communication
Performance Evaluation of STBC-OFDM System for Wireless Communication Apeksha Deshmukh, Prof. Dr. M. D. Kokate Department of E&TC, K.K.W.I.E.R. College, Nasik, apeksha19may@gmail.com Abstract In this paper
More informationSNS COLLEGE OF ENGINEERING COIMBATORE DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK
SNS COLLEGE OF ENGINEERING COIMBATORE 641107 DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK EC6801 WIRELESS COMMUNICATION UNIT-I WIRELESS CHANNELS PART-A 1. What is propagation model? 2. What are the
More informationCHAPTER 5 DIVERSITY. Xijun Wang
CHAPTER 5 DIVERSITY Xijun Wang WEEKLY READING 1. Goldsmith, Wireless Communications, Chapters 7 2. Tse, Fundamentals of Wireless Communication, Chapter 3 2 FADING HURTS THE RELIABILITY n The detection
More informationPractical issue: Group definition. TSTE17 System Design, CDIO. Quadrature Amplitude Modulation (QAM) Components of a digital communication system
1 2 TSTE17 System Design, CDIO Introduction telecommunication OFDM principle How to combat ISI How to reduce out of band signaling Practical issue: Group definition Project group sign up list will be put
More informationImplementation and Comparative analysis of Orthogonal Frequency Division Multiplexing (OFDM) Signaling Rashmi Choudhary
Implementation and Comparative analysis of Orthogonal Frequency Division Multiplexing (OFDM) Signaling Rashmi Choudhary M.Tech Scholar, ECE Department,SKIT, Jaipur, Abstract Orthogonal Frequency Division
More informationLecture 13. Introduction to OFDM
Lecture 13 Introduction to OFDM Ref: About-OFDM.pdf Orthogonal frequency division multiplexing (OFDM) is well-known to be effective against multipath distortion. It is a multicarrier communication scheme,
More informationMIMO I: Spatial Diversity
MIMO I: Spatial Diversity COS 463: Wireless Networks Lecture 16 Kyle Jamieson [Parts adapted from D. Halperin et al., T. Rappaport] What is MIMO, and why? Multiple-Input, Multiple-Output (MIMO) communications
More informationLecture 3: Wireless Physical Layer: Modulation Techniques. Mythili Vutukuru CS 653 Spring 2014 Jan 13, Monday
Lecture 3: Wireless Physical Layer: Modulation Techniques Mythili Vutukuru CS 653 Spring 2014 Jan 13, Monday Modulation We saw a simple example of amplitude modulation in the last lecture Modulation how
More informationMultiple Antenna Processing for WiMAX
Multiple Antenna Processing for WiMAX Overview Wireless operators face a myriad of obstacles, but fundamental to the performance of any system are the propagation characteristics that restrict delivery
More informationLecture 3 Cellular Systems
Lecture 3 Cellular Systems I-Hsiang Wang ihwang@ntu.edu.tw 3/13, 2014 Cellular Systems: Additional Challenges So far: focus on point-to-point communication In a cellular system (network), additional issues
More information2: Diversity. 2. Diversity. Some Concepts of Wireless Communication
2. Diversity 1 Main story Communication over a flat fading channel has poor performance due to significant probability that channel is in a deep fade. Reliability is increased by providing more resolvable
More informationLecture 12: Summary Advanced Digital Communications (EQ2410) 1
: Advanced Digital Communications (EQ2410) 1 Monday, Mar. 7, 2016 15:00-17:00, B23 1 Textbook: U. Madhow, Fundamentals of Digital Communications, 2008 1 / 15 Overview 1 2 3 4 2 / 15 Equalization Maximum
More informationA Research Concept on Bit Rate Detection using Carrier offset through Analysis of MC-CDMA SYSTEM
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IMPACT FACTOR: 5.258 IJCSMC,
More informationCHAPTER 4 PERFORMANCE ANALYSIS OF THE ALAMOUTI STBC BASED DS-CDMA SYSTEM
89 CHAPTER 4 PERFORMANCE ANALYSIS OF THE ALAMOUTI STBC BASED DS-CDMA SYSTEM 4.1 INTRODUCTION This chapter investigates a technique, which uses antenna diversity to achieve full transmit diversity, using
More informationELEC E7210: Communication Theory. Lecture 7: Adaptive modulation and coding
ELEC E721: Communication Theory Lecture 7: Adaptive modulation and coding Adaptive modulation and coding (1) Change modulation and coding relative to fading AMC enable robust and spectrally efficient transmission
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2004 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationStudy of Performance Evaluation of Quasi Orthogonal Space Time Block Code MIMO-OFDM System in Rician Channel for Different Modulation Schemes
Volume 4, Issue 6, June (016) Study of Performance Evaluation of Quasi Orthogonal Space Time Block Code MIMO-OFDM System in Rician Channel for Different Modulation Schemes Pranil S Mengane D. Y. Patil
More informationLecture LTE (4G) -Technologies used in 4G and 5G. Spread Spectrum Communications
COMM 907: Spread Spectrum Communications Lecture 10 - LTE (4G) -Technologies used in 4G and 5G The Need for LTE Long Term Evolution (LTE) With the growth of mobile data and mobile users, it becomes essential
More informationOFDMA and MIMO Notes
OFDMA and MIMO Notes EE 442 Spring Semester Lecture 14 Orthogonal Frequency Division Multiplexing (OFDM) is a digital multi-carrier modulation technique extending the concept of single subcarrier modulation
More informationPerformance Comparison of MIMO Systems over AWGN and Rician Channels with Zero Forcing Receivers
Performance Comparison of MIMO Systems over AWGN and Rician Channels with Zero Forcing Receivers Navjot Kaur and Lavish Kansal Lovely Professional University, Phagwara, E-mails: er.navjot21@gmail.com,
More informationChapter 5 OFDM. Office Hours: BKD Tuesday 14:00-16:00 Thursday 9:30-11:30
Chapter 5 OFDM 1 Office Hours: BKD 3601-7 Tuesday 14:00-16:00 Thursday 9:30-11:30 2 OFDM: Overview Let S 1, S 2,, S N be the information symbol. The discrete baseband OFDM modulated symbol can be expressed
More informationECE5984 Orthogonal Frequency Division Multiplexing and Related Technologies Fall Mohamed Essam Khedr. Channel Estimation
ECE5984 Orthogonal Frequency Division Multiplexing and Related Technologies Fall 2007 Mohamed Essam Khedr Channel Estimation Matlab Assignment # Thursday 4 October 2007 Develop an OFDM system with the
More informationSpring 2017 MIMO Communication Systems Solution of Homework Assignment #5
Spring 217 MIMO Communication Systems Solution of Homework Assignment #5 Problem 1 (2 points Consider a channel with impulse response h(t α δ(t + α 1 δ(t T 1 + α 3 δ(t T 2. Assume that T 1 1 µsecs and
More informationDecrease Interference Using Adaptive Modulation and Coding
International Journal of Computer Networks and Communications Security VOL. 3, NO. 9, SEPTEMBER 2015, 378 383 Available online at: www.ijcncs.org E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Decrease
More informationOFDM Transmission Technique
OFDM Transmission Technique SS 2013 Dr.-Ing. L. Häring Lecture with exercises Organization Lecture: 2 SWS (90 minutes) a week Exercise: project at the end of semester Elective course Oral examination (30-45
More informationImproving the Data Rate of OFDM System in Rayleigh Fading Channel Using Spatial Multiplexing with Different Modulation Techniques
2009 International Symposium on Computing, Communication, and Control (ISCCC 2009) Proc.of CSIT vol.1 (2011) (2011) IACSIT Press, Singapore Improving the Data Rate of OFDM System in Rayleigh Fading Channel
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2005 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationPerformance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding Technique
e-issn 2455 1392 Volume 2 Issue 6, June 2016 pp. 190 197 Scientific Journal Impact Factor : 3.468 http://www.ijcter.com Performance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding
More informationCDMA - QUESTIONS & ANSWERS
CDMA - QUESTIONS & ANSWERS http://www.tutorialspoint.com/cdma/questions_and_answers.htm Copyright tutorialspoint.com 1. What is CDMA? CDMA stands for Code Division Multiple Access. It is a wireless technology
More informationELT Receiver Architectures and Signal Processing Fall Mandatory homework exercises
ELT-44006 Receiver Architectures and Signal Processing Fall 2014 1 Mandatory homework exercises - Individual solutions to be returned to Markku Renfors by email or in paper format. - Solutions are expected
More informationAdaptive Wireless. Communications. gl CAMBRIDGE UNIVERSITY PRESS. MIMO Channels and Networks SIDDHARTAN GOVJNDASAMY DANIEL W.
Adaptive Wireless Communications MIMO Channels and Networks DANIEL W. BLISS Arizona State University SIDDHARTAN GOVJNDASAMY Franklin W. Olin College of Engineering, Massachusetts gl CAMBRIDGE UNIVERSITY
More informationFading & OFDM Implementation Details EECS 562
Fading & OFDM Implementation Details EECS 562 1 Discrete Mulitpath Channel P ~ 2 a ( t) 2 ak ~ ( t ) P a~ ( 1 1 t ) Channel Input (Impulse) Channel Output (Impulse response) a~ 1( t) a ~2 ( t ) R a~ a~
More informationALi Linear n-stage t ShiftRegister output tsequence
PN CODE GENERATION (cont d) ALi Linear n-stage t ShiftRegister output tsequence Modulo-2 Adder h hn-1 h hn-2 h h2 h h1 X n-1 X n-2 X 1 X 0 Output Note: hi=1 represents a closed circuit; hi=0 represents
More informationChapter 2 Channel Equalization
Chapter 2 Channel Equalization 2.1 Introduction In wireless communication systems signal experiences distortion due to fading [17]. As signal propagates, it follows multiple paths between transmitter and
More informationMulti-carrier and Multiple antennas
RADIO SYSTEMS ETIN15 Lecture no: 10 Multi-carrier and Multiple antennas Ove Edfors, Department of Electrical and Information Technology Ove.Edfors@eit.lth.se 1 Contents Multicarrier systems History of
More informationS.D.M COLLEGE OF ENGINEERING AND TECHNOLOGY
VISHVESHWARAIAH TECHNOLOGICAL UNIVERSITY S.D.M COLLEGE OF ENGINEERING AND TECHNOLOGY A seminar report on Orthogonal Frequency Division Multiplexing (OFDM) Submitted by Sandeep Katakol 2SD06CS085 8th semester
More informationDegrees of Freedom in Adaptive Modulation: A Unified View
Degrees of Freedom in Adaptive Modulation: A Unified View Seong Taek Chung and Andrea Goldsmith Stanford University Wireless System Laboratory David Packard Building Stanford, CA, U.S.A. taek,andrea @systems.stanford.edu
More informationMobile Communications: Technology and QoS
Mobile Communications: Technology and QoS Course Overview! Marc Kuhn, Yahia Hassan kuhn@nari.ee.ethz.ch / hassan@nari.ee.ethz.ch Institut für Kommunikationstechnik (IKT) Wireless Communications Group ETH
More informationMulti-carrier Modulation and OFDM
3/28/2 Multi-carrier Modulation and OFDM Prof. Luiz DaSilva dasilval@tcd.ie +353 896-366 Multi-carrier systems: basic idea Typical mobile radio channel is a fading channel that is flat or frequency selective
More informationMIMO Systems and Applications
MIMO Systems and Applications Mário Marques da Silva marques.silva@ieee.org 1 Outline Introduction System Characterization for MIMO types Space-Time Block Coding (open loop) Selective Transmit Diversity
More informationChannel Estimation and Multiple Access in Massive MIMO Systems. Junjie Ma, Chongbin Xu and Li Ping City University of Hong Kong, Hong Kong
Channel Estimation and Multiple Access in Massive MIMO Systems Junjie Ma, Chongbin Xu and Li Ping City University of Hong Kong, Hong Kong 1 Main references Li Ping, Lihai Liu, Keying Wu, and W. K. Leung,
More informationSPLIT MLSE ADAPTIVE EQUALIZATION IN SEVERELY FADED RAYLEIGH MIMO CHANNELS
SPLIT MLSE ADAPTIVE EQUALIZATION IN SEVERELY FADED RAYLEIGH MIMO CHANNELS RASHMI SABNUAM GUPTA 1 & KANDARPA KUMAR SARMA 2 1 Department of Electronics and Communication Engineering, Tezpur University-784028,
More informationWAVELET OFDM WAVELET OFDM
EE678 WAVELETS APPLICATION ASSIGNMENT WAVELET OFDM GROUP MEMBERS RISHABH KASLIWAL rishkas@ee.iitb.ac.in 02D07001 NACHIKET KALE nachiket@ee.iitb.ac.in 02D07002 PIYUSH NAHAR nahar@ee.iitb.ac.in 02D07007
More informationANALYSIS OF BER AND SEP OF QPSK SIGNAL FOR MULTIPLE ANENNAS
ANALYSIS OF BER AND SEP OF QPSK SIGNAL FOR MULTIPLE ANENNAS Suganya.S 1 1 PG scholar, Department of ECE A.V.C College of Engineering Mannampandhal, India Karthikeyan.T 2 2 Assistant Professor, Department
More informationLecture 8 Mul+user Systems
Wireless Communications Lecture 8 Mul+user Systems Prof. Chun-Hung Liu Dept. of Electrical and Computer Engineering National Chiao Tung University Fall 2014 Outline Multiuser Systems (Chapter 14 of Goldsmith
More informationPerformance Comparison of MIMO Systems over AWGN and Rayleigh Channels with Zero Forcing Receivers
Global Journal of Researches in Engineering Electrical and Electronics Engineering Volume 13 Issue 1 Version 1.0 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals
More informationTSTE17 System Design, CDIO. General project hints. Behavioral Model. General project hints, cont. Lecture 5. Required documents Modulation, cont.
TSTE17 System Design, CDIO Lecture 5 1 General project hints 2 Project hints and deadline suggestions Required documents Modulation, cont. Requirement specification Channel coding Design specification
More informationEC 551 Telecommunication System Engineering. Mohamed Khedr
EC 551 Telecommunication System Engineering Mohamed Khedr http://webmail.aast.edu/~khedr 1 Mohamed Khedr., 2008 Syllabus Tentatively Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week
More informationISSN: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 1, Issue 8, October 2012
Capacity Analysis of MIMO OFDM System using Water filling Algorithm Hemangi Deshmukh 1, Harsh Goud 2, Department of Electronics Communication Institute of Engineering and Science (IPS Academy) Indore (M.P.),
More informationLecture 8 Multi- User MIMO
Lecture 8 Multi- User MIMO I-Hsiang Wang ihwang@ntu.edu.tw 5/7, 014 Multi- User MIMO System So far we discussed how multiple antennas increase the capacity and reliability in point-to-point channels Question:
More informationEE360: Multiuser Wireless Systems and Networks. Lecture 4 Outline
EE360: Multiuser Wireless Systems and Networks Lecture 4 Outline Announcements Project proposals due Feb. 1 (1 week) Makeup lecture Feb 2, 5-6:15, Gates Presentation schedule finalizes Random vs. Multiple
More informationStudy of Turbo Coded OFDM over Fading Channel
International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 3, Issue 2 (August 2012), PP. 54-58 Study of Turbo Coded OFDM over Fading Channel
More informationPerformance Analysis of Cooperative Communication System with a SISO system in Flat Fading Rayleigh channel
Performance Analysis of Cooperative Communication System with a SISO system in Flat Fading Rayleigh channel Sara Viqar 1, Shoab Ahmed 2, Zaka ul Mustafa 3 and Waleed Ejaz 4 1, 2, 3 National University
More informationOptimal Number of Pilots for OFDM Systems
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 8, Issue 6 (Nov. - Dec. 2013), PP 25-31 Optimal Number of Pilots for OFDM Systems Onésimo
More informationOFDM system: Discrete model Spectral efficiency Characteristics. OFDM based multiple access schemes. OFDM sensitivity to synchronization errors
Introduction - Motivation OFDM system: Discrete model Spectral efficiency Characteristics OFDM based multiple access schemes OFDM sensitivity to synchronization errors 4 OFDM system Main idea: to divide
More informationECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading
ECE 476/ECE 501C/CS 513 - Wireless Communication Systems Winter 2003 Lecture 6: Fading Last lecture: Large scale propagation properties of wireless systems - slowly varying properties that depend primarily
More informationInterference management Within 3GPP LTE advanced
Interference management Within 3GPP LTE advanced Konstantinos Dimou, PhD Senior Research Engineer, Wireless Access Networks, Ericsson research konstantinos.dimou@ericsson.com 2013-02-20 Outline Introduction
More informationRate and Power Adaptation in OFDM with Quantized Feedback
Rate and Power Adaptation in OFDM with Quantized Feedback A. P. Dileep Department of Electrical Engineering Indian Institute of Technology Madras Chennai ees@ee.iitm.ac.in Srikrishna Bhashyam Department
More informationAndrea Goldsmith. Stanford University
Andrea Goldsmith Stanford University Envisioning an xg Network Supporting Ubiquitous Communication Among People and Devices Smartphones Wireless Internet Access Internet of Things Sensor Networks Smart
More informationDiversity. Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1
Diversity Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1 Diversity A fading channel with an average SNR has worse BER performance as compared to that of an AWGN channel with the same SNR!.
More informationFundamentals of Digital Communication
Fundamentals of Digital Communication Network Infrastructures A.A. 2017/18 Digital communication system Analog Digital Input Signal Analog/ Digital Low Pass Filter Sampler Quantizer Source Encoder Channel
More informationIntroduction to WiMAX Dr. Piraporn Limpaphayom
Introduction to WiMAX Dr. Piraporn Limpaphayom 1 WiMAX : Broadband Wireless 2 1 Agenda Introduction to Broadband Wireless Overview of WiMAX and Application WiMAX: PHY layer Broadband Wireless Channel OFDM
More informationChannel Estimation of MIMO OFDM System
Channel Estimation of MIMO OFDM System K.Ram Nayak M-Tech (Embedded Systems) S.R Engineering College, Warangal Telangana, India Abstract Wireless Communication Technology has developed many folds over
More informationFuture Wireless Networks Ubiquitous Communication Among People and Devices. Design Challenges. Wireless Network Design Issues
EE360: Lecture 18 Outline Course Summary Announcements Poster session tomorrow 5:30pm (3rd floor Packard Next HW posted, due March 19 at 9am Final project due March 21 at midnight Course evaluations available;
More informationOFDM Channel Modeling for WiMAX
OFDM Channel Modeling for WiMAX April 27, 2007 David Doria Goals: To develop a simplified model of a Rayleigh fading channel Apply this model to an OFDM system Implement the above in network simulation
More informationOpportunistic Communication in Wireless Networks
Opportunistic Communication in Wireless Networks David Tse Department of EECS, U.C. Berkeley October 10, 2001 Networking, Communications and DSP Seminar Communication over Wireless Channels Fundamental
More informationEE360: Lecture 18 Outline. Course Summary
EE360: Lecture 18 Outline Course Summary Announcements Poster session tomorrow 5:30pm (3rd floor Packard) Next HW posted, due March 19 at 9am Final project due March 21 at midnight Course evaluations available;
More informationTCM-coded OFDM assisted by ANN in Wireless Channels
1 Aradhana Misra & 2 Kandarpa Kumar Sarma Dept. of Electronics and Communication Technology Gauhati University Guwahati-781014. Assam, India Email: aradhana66@yahoo.co.in, kandarpaks@gmail.com Abstract
More informationPerformance Comparison of Channel Estimation Technique using Power Delay Profile for MIMO OFDM
Performance Comparison of Channel Estimation Technique using Power Delay Profile for MIMO OFDM 1 Shamili Ch, 2 Subba Rao.P 1 PG Student, SRKR Engineering College, Bhimavaram, INDIA 2 Professor, SRKR Engineering
More informationSIDELOBE SUPPRESSION AND PAPR REDUCTION FOR COGNITIVE RADIO MIMO-OFDM SYSTEMS USING CONVEX OPTIMIZATION TECHNIQUE
SIDELOBE SUPPRESSION AND PAPR REDUCTION FOR COGNITIVE RADIO MIMO-OFDM SYSTEMS USING CONVEX OPTIMIZATION TECHNIQUE Suban.A 1, Jeswill Prathima.I 2, Suganyasree G.C. 3, Author 1 : Assistant Professor, ECE
More informationSC - Single carrier systems One carrier carries data stream
Digital modulation SC - Single carrier systems One carrier carries data stream MC - Multi-carrier systems Many carriers are used for data transmission. Data stream is divided into sub-streams and each
More information