Multi-Carrier Waveforms effect on Non-Relay and Relay Cognitive Radio Based System Performances
|
|
- Frederick Watts
- 6 years ago
- Views:
Transcription
1 Multi-Carrier Waveforms effect on Non-Relay and Relay Cognitive Radio Based System Performances By Carlos Faouzi Bader and Musbah Shaat Senior Associate Researcher, SIEEE Centre Tecnològic de Telecomunicacions de Catalunya Barcelone, Spain
2 Outlines Overview of MC techniques. A Two-Step Resource Allocation Algorithm in Multicarrier Based Cognitive Radio System System Model Problem Formulation Proposed Algorithm Computational Complexity Simulation Results Conclusions Comparison of OFDM and FBMC Performance in DF Multi-Relay Cognitive Radio System Model Problem Formulation Optimal Solution Suboptimal Solution Complexity Comparison Simulation Results Conclusions 2
3 Overview of MC techniques. 3
4 Overview of MC techniques. Multicarrier Communications (MC) are promising techniques in Cognitive Radio CR Moreover, MC based CR systems can meet the spectrum shape requirements by deactivating (i.e. nulling) the subcarriers where the PU is currently transmitting or the subcarriers that can potentially interfere with other users. The multicarrier systems offers very flexible multiple access and spectral allocation of the available spectrum which can be performed in the CR system without any extra hardware complexity ( really?). Several parameters can be adjusted in the system like subcarrier spacing, subcarrier number, modulation, coding and powers. 4
5 Overview of MC techniques, Cont. OFDM is the most common MC technique. WLAN, WMAN, etc. IEEE Large side lobes, and use Cyclic Prefix (CP)! 5
6 Overview of MC techniques, Cont. Filter Based MC scheme: Filter bank can be defined generally as an array of N filters that processes N (different or equal) input signals to produce N outputs. If the inputs of these N filters are connected together, the system -in analogous manner- can be seen as analyser to the input signal based on each filter characteristics. Therefore, this type of filter bank is called analysis filter bank (AFB). On the other hand, by adding the outputs of the filter array, a new signal is synthesized and hence this type of filter bank is called synthesis filter bank (SFB) 6
7 Overview of MC techniques, Cont. The FBMC systems are classified into three main methods: 1. Offset quadrature amplitude modulated OFDM (OQAM-OFDM) by [Chang], [Siohan] 2. Cosine-modulated multitune (CMT) 3. Filtered multitune (FMT). -The isotropic orthogonal transfer algorithm (IOTA) has been presented developed [Siohan] in order to adapt the FBMC system to match the channel time and frequency dispersion. -CMT is considered by the under-development IEEE P1901 standard for power line communication (PLC) systems. Different from OQAM-OFDM and CMT systems, FMT does not allow the subcarrier overlapping [Amini]. [Chang] RW Chang, High-speed multichannel data transmission with bandlimited orthogonal signals, Bell sys. Tech. J, vol. 45, pp , [Siohan] P. Siohan and C. Roche, Cosine-modulated Filterbanks based on extended Gaussian Functions, IEEE Transactions on Signal Processing, vol. 48, no. 11, pp , [Amini] A. Amini, R. Kempter, and B. Farhang-Boroujeny, A comparison of alternative filterbank multicarrier methods in cognitive radios, in 2006 Software Defined Radio Technical Conference and Product Exhibition (SDR 06), Orlando-Florida, Nov
8 PHYDYAS Prototype Filter Extended Gaussian Function (EGF) Overview of MC techniques, Cont. P. Siohan and C. Roche, Cosine-Modulated Filterbanks based on Extended Gaussian Functions, IEEE Trans. Signal Processing, vol. 48, no. 11, pp , Nov M.G. Bellanger, Specification and Design of a Prototype Filter for Filter Bank based Multicarrier Transmission, in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Proceedings. (ICASSP 01)., May 2001, vol. 4, pp
9 Overview of MC techniques, Cont. OFDM is the most common MC technique. 1- Large side lobes! high mutual interference. 2- Cyclic Prefix (CP)! reduce the spectral efficiency. FBMC can overcome the OFDM limitations. 1- High spectral containment signal! reduce the side lobes. 2- No CP extension! increase the spectral efficiency. 3- More robustness to the time and frequency offsets. Adrian Kliks, Hanna Bogucka, Faouzi Bader, Musbah Shaat, Oliver Holland, FBMC and GMC Capabilities for TV White Space and Cognitive Radio, IEEE Working Group Meeting, Osaka, Japan, March Paweł Kryszkiewicz, Hanna Bogucka, Adrian Kliks, Oliver Holland, Faouzi Bader, Spectrum Shaping Algorithms for Cognitive Radio, IEEE Working Group Meeting, Osaka, Japan, March
10 Resource Allocation Algorithm in Multicarrier Based Cognitive Radio System 10
11 Outlines Overview of MC techniques. A Two-Step Resource Allocation Algorithm in Multicarrier Based Cognitive Radio System System Model Problem Formulation Proposed Algorithm Computational Complexity Simulation Results Conclusions Comparison of OFDM and FBMC Performance in DF Multi-Relay Cognitive Radio System Model Problem Formulation Optimal Solution Suboptimal Solution Complexity Comparison Simulation Results Conclusions 11
12 Introduction The spectrum scarcity is considered as one of the serious problem. Cognitive radio (CR) aims to increase the spectrum utilization. Multicarrier communication has been suggested as a candidate for cognitive radio (CR) systems. OFDM suffers from high interference to the primary user (PU) and the cyclic prefix insertion decreases the system capacity. FBMC doesn t need any CP insertion and can overcome the interference problem. 12
13 System Model CR base station (CBS) Primary system base station (SU) Primary User (PU) (PU) Secondary User (SU) The CR system coexist with the PU s radio in the same geographical location. The downlink scenario will be considered. Each of the two system causes interference to each other. 13
14 System Model, Cont. B 1 B 2 B L Active PU 1 band Non- Active band Active PU 2 band Active PU L band Frerquency 1 2. f N The SU and PU band are exist side by side. Mutual interference is a limiting factor affect the performance of both systems. The CR can use active and non-active bands. The introduced interference to band should be below I T B l l th th l where l T th l th is the interference temperature limit. 14
15 System Model, Cont. th The interference introduced by the i subcarrier to PU band is th the integration of the PSD of the i subcarrier across the PU band dib 2 2, I d P g f df P i i i i i i i dib 2 The PSD expression depends on the use multicarrier technique. 15
16 Problem Formulation The objective is to maximize the total capacity of the CR system subject to the interference introduced to the PU s and total power constraints. 2 M N Pi, m h i, m P1: max im, log P i m=1 i=1 i Subject to im, M m=1 M im, N m=1 i=1 m=1 i=1 0,1, im, 1, i i, m i, m T P 0, i 1, 2,, N i M N P P P I i, m i i th 16
17 System Model, Cont. The problem is combinatorial optimization problem. The complexity grows with the input size The problem is solved in two steps by many of suboptimal algorithm 1. Subcarriers are assigned to the users. 2. Power allocated to the different subcarriers (virtually as single user multicarrier system) Its proofed that the maximum data rate in downlink can be obtained if the subcarriers are assigned to the user with the best channel. P N i i 2 : max log2 1 P 2 i i1 subject to N i1 N i1 P I i i th P P, P 0, i 1, 2,..., N i T i Ph SCEE Technical Seminar, SUPÉLEC, Rennes, France. December 6,
18 Problem Formulation, Cont. The problem is convex, by using the Lagrange optimization we can get P * i 1 i 2 h i 2 Solving more than one Langrangian multipliers is computational complex. Ellipsoid or interior point methods can be used with complexity Computationally efficient algorithm is needed for practical applications. O N 3 18
19 Proposed Algorithm, Cont. For any set of subcarriers, Optimal solution of the optimization subject to total power constraint only is waterfilling. Optimal solution of the optimization problem subject to interference only can be solved by means of Langrangian and given by P '( Int) i ( Int) l 2 1 ( Int) 2 l i hi Nl 2 i Ith 2 in h l i 19
20 Proposed Algorithm, Cont. Assume that each subcarrier is belonging to the closest PU band and only introducing interference to it. The effect on the net interference will seen after within the simulation. B 1 B 2 f Non-Active band Active PU 1 band Non-Active band Active PU 2 band Non-Active band Frequency 1 2. N N 1 N 2
21 Proposed Algorithm, Cont. For any set of subcarriers N l, Optimal solution of the optimization subject to total power constraint only is waterfilling. Optimal solution of the optimization problem subject to interference only can be solved by means of Langrangian and given by 2 '( Int) 1 Pi ( Int) 2 ( Int) l I th l i i N l l i h 2 in h i 2
22 Proposed Algorithm, Cont. Assign the maximum power that can be allocated to each subcarrier by optimization subject to interference constraint only Power Pmax Pmax Subcarriers N1 N2
23 Proposed Algorithm, Cont. Test the total power constraint, if it is satisfied the solution is found else continuo. Power Pmax Pmax Subcarriers N1 N2
24 Proposed Algorithm, Cont. Distribute the available power according to the waterfilling with the constraint that the power allocated to each subcarrier never exceeds P i max. Power Pmax Pmax Subcarriers N1 N2
25 Proposed Algorithm, Cont. The power constraint is satisfied with equality, which is not the case for the interference constraint. Determine the left available interference and the set of the subcarriers that reach the maximum. A l Power Source of the left interfernce Source of the left interfernce Subcarriers Set A1 N1 Set A2 N2
26 Proposed Algorithm, Cont. Update the values of Pimax in the set according to the left interference and perform the waterfilling again. The power and interference constraints are approximately satisfied with equality. A l Power Initial power loading Final power loading Updated Pimax Updated Pimax Subcarriers Set A1 Set A2 N1 N2
27 Computational Complexity The overall complexity of the algorithm is lower than Where is the number of waterfilling iterations. is estimated via simulations Average Maximum N max log O N N N O L average , i.e. 0,5
28 Simulation Results N=32 subcarriers, M=3 SU s; N1=N2=16, PT=1 watt, L=2 PU s. B 1 B 2 f Non-Active band Active PU 1 band Non-Active band Active PU 2 band Non-Active band Frequency 1 2. N N 1 N 2 Y. Zhang, Resource allocation for OFDM-Based cognitive radio systems, Ph.D. dissertation, Univ. of British Columbia, Vancouver, December 2008.
29 Capacity (Bit/Hz/sec) Capacity (Bit/Hz/sec) Simulation Results N=32 subcarriers, M=3 SU s; N1=N2=16, PT=1 watt, L=2 PU s Optimal-OFDM PI-OFDM Zhang-OFDM Optimal-FBMC PI-FBMC Zhang-FBMC Optimal-OFDM PI-OFDM Zhang-OFDM Optimal-FBMC PI-FBMC Zhang-FBMC Ith-Watt Ith-Watt x 10-5 Low Interference Y. Zhang, Resource allocation for OFDM-Based cognitive radio systems, Ph.D. dissertation, Univ. of British Columbia, Vancouver, December 2008.
30 Net Interference (Ith1) Net Interference (Ith2) Simulation Results, Cont. Net Interference Vs. Interference constraint PI-OFDM Zhang-OFDM PI-FBMC Zhang-FBMC PI-OFDM Zhang-OFDM PI-FBMC Zhang-FBMC Threshold (Ith1) Threshold (Ith2) M. Shaat, F. Bader, Computationally Efficient Power Allocation Algorithm in Multicarrier Based Cognitive Radio Networks: OFDM and FBMC Systems. EURASIP Journal on Signal Processing Advances (ASP). Volume 2010, Article ID March 2010.
31 Conclusions Low complexity sub-optimal resource allocation algorithm for multicarrier based CR networks is presented. The objective was to maximize the total downlink capacity of the CR network while respecting the available power budget and guaranteeing that no excessive interference is caused to the PU s. With a significant reduction in the computational complexity, the proposed PI-algorithm achieves a near optimal performance and outperforms the sub-optimal algorithms proposed so far. The obtained results contribute in recommending the use of FBMC physical layer in the future cognitive radio systems. We are currently working on extension of the proposed scheme by considering more interference constraints as well as channel estimation errors in the cognitive and primary links. 31
32 Comparison of OFDM and FBMC Performance in DF Multi-Relay Cognitive Radio 32
33 Outlines Overview of MC techniques. A Two-Step Resource Allocation Algorithm in Multicarrier Based Cognitive Radio System System Model Problem Formulation Proposed Algorithm Computational Complexity Simulation Results Conclusions Comparison of OFDM and FBMC Performance in DF Multi-Relay Cognitive Radio System Model Problem Formulation Optimal Solution Suboptimal Solution Complexity Comparison Simulation Results Conclusions 33
34 System Model 34
35 System Model, Cont. th The interference introduced by the i subcarrier to PU band is th the integration of the PSD of the i subcarrier across the PU band dib 2 2, I d P g f df P i i i i i i i dib 2 The PSD expression depends on the use multicarrier technique. 35
36 Problem Formulation Rm S D S D 36
37 Problem Formulation The objective is to maximize the throughput subject to the available power budgets and to the interference constraints. Transmission path (relayed/direct), subcarrier matching, relay assignment and power allocation are required to be optimized. 37
38 Problem Formulation. Cont. Rm S D S D 38
39 Problem Formulation. Cont. 39
40 Optimal Solution 40
41 Optimal Solution. Cont. and the dual function is defined as follows M. Shaat and F. Bader, Joint Resource Optimization in Decode and Forward Multi-Relay Cognitive Network with Direct Link, accepted at the IEEE Wireless Communications and Networking Conference (IEEE WCNC'2012). Paris, France. April
42 Optimal Solution, Cont. 42
43 Optimal Solution, Cont. Construct the dual function and initialize the dual variables. Assume that the subcarrier is used for relayed transmission - Find the allocated power for every (j,k,m) assignment. - Substitute the evaluated power and find the best relay m for every (j,k) pairing. Assume that the subcarrier is used for direct transmission - Find the allocated power for every subcarrier j. Determine the cost function for every subcarrier (compare the costs in case of relayed and direct transmission). Solve the linear assignment problem to find the optimal subcarrier pairs and optimal relayed/direct transmission selection. If the stopping criteria is not fulfilled, update the dual variables and perform the steps again. 43
44 Suboptimal Solution, Cont. The dual decomposition approach has high computational complexity. where T is the number of iteration required to converge which is usually large. To reduce the computational complexity, a suboptimal algorithm is proposed to jointly optimize the different system resources. 44
45 Suboptimal Solution, Cont. Musbah Shaat and Faouzi Bader, Asymptotically Optimal Resource Allocation in OFDM-Based Cognitive Networks with Multiple Relays, IEEE Transactions on Wireless Communications, Vol. 11, NO.3, March
46 Complexity Comparison Optimal: Dual decomposition technique. Suboptimal: Proposed Algorithm. SNR: Subcarrier and users are assigned based on their SNR values. Random: Subcarrier and users are assigned randomly. For SNR and Random, Powers are evaluated by solving the optimization problem with known and 46
47 Capacity (Bit/Hz/sec) Simulation Results OFDM Optimal Suboptimal SNR Random 4 P S =P Rm =20 dbm P S =P Rm =0 dbm Interference threshold I th (dbm) 47
48 Capacity (Bit/Hz/sec) Simulation Results, Cont. 6 OFDM 5 4 Optimal Suboptimal SNR Random 3 I th =-10 dbm 2 1 Ith=-30 dbm Source and relays power budget P S =P Rm (dbm) 48
49 Simulation Results, Cont. FBMC Figure 3: Achieved capacity vs. interference threshold with P s =P Rm = 0 dbm. OFDM is plotted in solid lines, and FBMC is plotted in dashed lines. 49
50 Simulation Results, Cont. FBMC Figure 3: Achieved capacity vs. interference threshold with P s =P Rm when P Ith. = -30 dbm. OFDM system is plotted in solid lines, FBMC is plotted in dashed lines. 50
51 Conclusions An optimal and Low complexity sub-optimal resource allocation algorithms for cognitive multicarrier based DF cooperative relay network was presented. The objective was to maximize the total downlink capacity of the CR network while respecting the interference and power constraints. With a reduction in the computational complexity, the proposed algorithm achieves a near optimal performance and outperforms the SNR and random based algorithms. The efficiency of using FBMC is shown to be better than OFDM in CR systems. 51
52 Thank you for your attention For any requested information please contact Dr. C. Faouzi Bader, at s: {cbader, 52
An Uplink Resource Allocation Algorithm For OFDM and FBMC Based Cognitive Radio Systems
An Uplink Resource Allocation Algorithm For OFDM and FBMC Based Cognitive Radio Systems Musbah Shaat & Faouzi Bader Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) Castelldefels-Barcelona, Spain
More informationDecision Feedback Equalization for Filter Bank Multicarrier Systems
Decision Feedback Equalization for Filter Bank Multicarrier Systems Abhishek B G, Dr. K Sreelakshmi, Desanna M M.Tech Student, Department of Telecommunication, R. V. College of Engineering, Bengaluru,
More informationS PG Course in Radio Communications. Orthogonal Frequency Division Multiplexing Yu, Chia-Hao. Yu, Chia-Hao 7.2.
S-72.4210 PG Course in Radio Communications Orthogonal Frequency Division Multiplexing Yu, Chia-Hao chyu@cc.hut.fi 7.2.2006 Outline OFDM History OFDM Applications OFDM Principles Spectral shaping Synchronization
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 informationHigh Performance Fbmc/Oqam System for Next Generation Multicarrier Wireless Communication
IOSR Journal of Engineering (IOSRJE) ISS (e): 50-0, ISS (p): 78-879 PP 5-9 www.iosrjen.org High Performance Fbmc/Oqam System for ext Generation Multicarrier Wireless Communication R.Priyadharshini, A.Savitha,
More informationMULTICARRIER communication systems are promising
1658 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 52, NO. 10, OCTOBER 2004 Transmit Power Allocation for BER Performance Improvement in Multicarrier Systems Chang Soon Park, Student Member, IEEE, and Kwang
More informationBeamforming and Binary Power Based Resource Allocation Strategies for Cognitive Radio Networks
1 Beamforming and Binary Power Based Resource Allocation Strategies for Cognitive Radio Networks UWB Walter project Workshop, ETSI October 6th 2009, Sophia Antipolis A. Hayar EURÉCOM Institute, Mobile
More informationCoexistence of Filter Banks and CP-OFDM: What are the Real Gains?
Coexistence of Filter Banks and CP-OFDM: What are the Real Gains? Quentin Bodinier, Faouzi Bader, Jacques Palicot To cite this version: Quentin Bodinier, Faouzi Bader, Jacques Palicot. Coexistence of Filter
More informationPeak to Average Power Ratio Reduction in FBMC Systems by PN-sequences
Advances in Wireless Communications and Networks 2017; 3(6): 84-89 http://www.sciencepublishinggroup.com/j/awcn doi: 10.11648/j.awcn.20170306.12 ISSN: 2575-5951 (Print); ISSN: 2575-596X (Online) Peak to
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 informationAsynchronous OFDM/FBMC Interference Analysis in Selective Channels
1 IEEE 1st International Symposium on Personal Indoor and Mobile Radio Communications Asynchronous OFDM/FBMC Interference Analysis in Selective Channels Yahia Medjahdi, Michel Terré, Didier Le Ruyet, Daniel
More informationSecondary User Access for IoT Applications in the FM Radio band using FS-FBMC Kenny Barlee, University of Strathclyde (Scotland)
Secondary User Access for IoT Applications in the FM Radio band using FS-FBMC Kenny Barlee, University of Strathclyde (Scotland) 1/25 Overview Background + Motivation Transmitter Design Results as in paper
More informationFBMC for TVWS. Date: Authors: Name Affiliations Address Phone
November 2013 FBMC for TVWS Date: 2014-01-22 Doc. 22-14-0012-00-000b Authors: Name Affiliations Address Phone email Dominique Noguet CEA-LETI France dominique.noguet[at]cea.fr Notice: This document has
More informationAadptive Subcarrier Allocation for Multiple Cognitive Users over Fading Channels
Proceedings of the nd International Conference On Systems Engineering and Modeling (ICSEM-3) Aadptive Subcarrier Allocation for Multiple Cognitive Users over Fading Channels XU Xiaorong a HUAG Aiping b
More informationJoint Subcarrier Pairing and Power Loading in Relay Aided Cognitive Radio Networks
0 IEEE Wireless Communications and Networking Conference: PHY and Fundamentals Joint Subcarrier Pairing and Power Loading in Relay Aided Cognitive Radio Networks Guftaar Ahmad Sardar Sidhu,FeifeiGao,,3,
More informationTransmit Power Allocation for BER Performance Improvement in Multicarrier Systems
Transmit Power Allocation for Performance Improvement in Systems Chang Soon Par O and wang Bo (Ed) Lee School of Electrical Engineering and Computer Science, Seoul National University parcs@mobile.snu.ac.r,
More informationSPARSE CHANNEL ESTIMATION BY PILOT ALLOCATION IN MIMO-OFDM SYSTEMS
SPARSE CHANNEL ESTIMATION BY PILOT ALLOCATION IN MIMO-OFDM SYSTEMS Puneetha R 1, Dr.S.Akhila 2 1 M. Tech in Digital Communication B M S College Of Engineering Karnataka, India 2 Professor Department of
More informationComputationally Efficient Optimal Power Allocation Algorithms for Multicarrier Communication Systems
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 48, NO. 1, 2000 23 Computationally Efficient Optimal Power Allocation Algorithms for Multicarrier Communication Systems Brian S. Krongold, Kannan Ramchandran,
More informationCooperative Compressed Sensing for Decentralized Networks
Cooperative Compressed Sensing for Decentralized Networks Zhi (Gerry) Tian Dept. of ECE, Michigan Tech Univ. A presentation at ztian@mtu.edu February 18, 2011 Ground-Breaking Recent Advances (a1) s is
More informationSimulative Investigations for Robust Frequency Estimation Technique in OFDM System
, pp. 187-192 http://dx.doi.org/10.14257/ijfgcn.2015.8.4.18 Simulative Investigations for Robust Frequency Estimation Technique in OFDM System Kussum Bhagat 1 and Jyoteesh Malhotra 2 1 ECE Department,
More informationFilter Bank Multi-Carrier (FBMC) for Future Wireless Systems
Filter Bank Multi-Carrier (FBMC) for Future Wireless Systems CD Laboratory Workshop Ronald Nissel November 15, 2016 Motivation Slide 2 / 27 Multicarrier Modulation Frequency index, l 17 0 0 x l,k...transmitted
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 informationPilot Pattern Design for PUSC MIMO WiMAX-like Filter Banks Multicarrier System
156 Pilot Pattern Design for PUSC MIMO WiMA-like Filter Banks Multicarrier System Faouzi Bader and Musbah Shaat Centre Tecnològic de Telecomunicacions de Catalunya-CTTC PMT, av. Canal Olimpic s/n. 08860
More informationDesign a Transmission Policies for Decode and Forward Relaying in a OFDM System
Design a Transmission Policies for Decode and Forward Relaying in a OFDM System R.Krishnamoorthy 1, N.S. Pradeep 2, D.Kalaiselvan 3 1 Professor, Department of CSE, University College of Engineering, Tiruchirapalli,
More informationLocal Oscillators Phase Noise Cancellation Methods
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834, p- ISSN: 2278-8735. Volume 5, Issue 1 (Jan. - Feb. 2013), PP 19-24 Local Oscillators Phase Noise Cancellation Methods
More informationDOWNLINK BEAMFORMING AND ADMISSION CONTROL FOR SPECTRUM SHARING COGNITIVE RADIO MIMO SYSTEM
DOWNLINK BEAMFORMING AND ADMISSION CONTROL FOR SPECTRUM SHARING COGNITIVE RADIO MIMO SYSTEM A. Suban 1, I. Ramanathan 2 1 Assistant Professor, Dept of ECE, VCET, Madurai, India 2 PG Student, Dept of ECE,
More informationPower Reduction in OFDM systems using Tone Reservation with Customized Convex Optimization
Power Reduction in OFDM systems using Tone Reservation with Customized Convex Optimization NANDALAL.V, KIRUTHIKA.V Electronics and Communication Engineering Anna University Sri Krishna College of Engineering
More informationNoise Plus Interference Power Estimation in Adaptive OFDM Systems
Noise Plus Interference Power Estimation in Adaptive OFDM Systems Tevfik Yücek and Hüseyin Arslan Department of Electrical Engineering, University of South Florida 4202 E. Fowler Avenue, ENB-118, Tampa,
More informationSystem-level interfaces and performance evaluation methodology for 5G physical layer based on non-orthogonal waveforms
System-level interfaces and performance evaluation methodology for 5G physical layer based on non-orthogonal waveforms Presenter: Martin Kasparick, Fraunhofer Heinrich Hertz Institute Asilomar Conference,
More informationBLIND SYMBOL TIMING AND CFO ESTIMATION FOR OFDM/OQAM SYSTEMS
BLIND SYMBOL TIMING AND CFO ESTIMATION FOR OFDM/OQAM SYSTEMS A.PAVANKUMAR M.tech (DECS) 2 year, 12F01D3802, St. Ann's College of Engineering & Technology, Chirala Abstract: The paper deals with the problem
More informationA Flexible Testbed for 5G Waveform Generation & Analysis. Greg Jue Keysight Technologies
A Flexible Testbed for 5G Waveform Generation & Analysis Greg Jue Keysight Technologies Agenda Introduction 5G Research: Waveforms and Frequencies Desired Testbed Attributes and Proposed Approach Wireless
More informationImplementation of Energy-Efficient Resource Allocation for OFDM-Based Cognitive Radio Networks
Implementation of Energy-Efficient Resource Allocation for OFDM-Based Cognitive Radio Networks Anna Kumar.G 1, Kishore Kumar.M 2, Anjani Suputri Devi.D 3 1 M.Tech student, ECE, Sri Vasavi engineering college,
More informationFREQUENCY OFFSET ESTIMATION IN COHERENT OFDM SYSTEMS USING DIFFERENT FADING CHANNELS
FREQUENCY OFFSET ESTIMATION IN COHERENT OFDM SYSTEMS USING DIFFERENT FADING CHANNELS Haritha T. 1, S. SriGowri 2 and D. Elizabeth Rani 3 1 Department of ECE, JNT University Kakinada, Kanuru, Vijayawada,
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 informationResource Allocation of Power in FBMC based 5G Networks using Fuzzy Rule Base System and Wavelet Transform
Resource Allocation of Power in FBMC based 5G Networks using Fuzzy Rule Base System and Wavelet Transform Javaid A. Sheikh 1, Farhana Mustafa 2, Arshid Iqbal 3 Department of E &IT, University Of Kashmir,
More informationWorld Academy of Science, Engineering and Technology International Journal of Electronics and Communication Engineering Vol:8, No:10, 2014
PAPR Reduction of FBMC sing Sliding Window Tone Reservation Active Constellation Extension Technique V. Sandeep Kumar, S. Anuradha Abstract The high Peak to Average Power Ratio (PAR) in Filter Bank Multicarrier
More informationComparisons of Filter Bank Multicarrier Systems
Comparisons of Filter Bank Multicarrier Systems Juan Fang 1, Zihao You 2, I-Tai Lu 5 ECE Department Polytechnic Institute of NYU Brooklyn, NY, USA jfang1985@gmail.com 1, zyou1@students.poly.edu 2, itailu@poly.edu
More informationNew Techniques to Suppress the Sidelobes in OFDM System to Design a Successful Overlay System
Bahria University Journal of Information & Communication Technology Vol. 1, Issue 1, December 2008 New Techniques to Suppress the Sidelobes in OFDM System to Design a Successful Overlay System Saleem Ahmed,
More informationRelay Selection and Resource Allocation in One-Way and Two-Way Cognitive Relay Networks. Thesis by Ahmad Mustafa Alsharoa
Relay Selection and Resource Allocation in One-Way and Two-Way Cognitive Relay Networks Thesis by Ahmad Mustafa Alsharoa In Partial Fulfillment of the Requirements For the Degree of Masters of Science
More informationInternational Journal of Advance Engineering and Research Development. Sidelobe Suppression in Ofdm based Cognitive Radio- Review
Scientific Journal of Impact Factor (SJIF): 4.14 International Journal of Advance Engineering and Research Development Volume 3, Issue 3, March -2016 e-issn (O): 2348-4470 p-issn (P): 2348-6406 Sidelobe
More informationPerformance Analysis of OFDM for Different Digital Modulation Schemes using Matlab Simulation
J. Bangladesh Electron. 10 (7-2); 7-11, 2010 Performance Analysis of OFDM for Different Digital Modulation Schemes using Matlab Simulation Md. Shariful Islam *1, Md. Asek Raihan Mahmud 1, Md. Alamgir Hossain
More information[Kavyalakshmi*, 4.(12): December, 2015] ISSN: (I2OR), Publication Impact Factor: 3.785
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY A CROSSLAYER PROTOCOL DESIGN APPROACH BETWEEN PHY AND MAC LAYER FOR COGNITIVE RADIO NETWORKS Kavyalakshmi.K*, Mrs.Padmavathi.G
More informationDistributed Game Theoretic Optimization Of Frequency Selective Interference Channels: A Cross Layer Approach
2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel Distributed Game Theoretic Optimization Of Frequency Selective Interference Channels: A Cross Layer Approach Amir Leshem and
More informationCognitive Ultra Wideband Radio
Cognitive Ultra Wideband Radio Soodeh Amiri M.S student of the communication engineering The Electrical & Computer Department of Isfahan University of Technology, IUT E-Mail : s.amiridoomari@ec.iut.ac.ir
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 informationScaling Laws for Cognitive Radio Network with Heterogeneous Mobile Secondary Users
Scaling Laws for Cognitive Radio Network with Heterogeneous Mobile Secondary Users Y.Li, X.Wang, X.Tian and X.Liu Shanghai Jiaotong University Scaling Laws for Cognitive Radio Network with Heterogeneous
More informationINTERFERENCE SELF CANCELLATION IN SC-FDMA SYSTEMS -A CAMPARATIVE STUDY
INTERFERENCE SELF CANCELLATION IN SC-FDMA SYSTEMS -A CAMPARATIVE STUDY Ms Risona.v 1, Dr. Malini Suvarna 2 1 M.Tech Student, Department of Electronics and Communication Engineering, Mangalore Institute
More information2. LITERATURE REVIEW
2. LITERATURE REVIEW In this section, a brief review of literature on Performance of Antenna Diversity Techniques, Alamouti Coding Scheme, WiMAX Broadband Wireless Access Technology, Mobile WiMAX Technology,
More informationNew Cross-layer QoS-based Scheduling Algorithm in LTE System
New Cross-layer QoS-based Scheduling Algorithm in LTE System MOHAMED A. ABD EL- MOHAMED S. EL- MOHSEN M. TATAWY GAWAD MAHALLAWY Network Planning Dep. Network Planning Dep. Comm. & Electronics Dep. National
More informationPOWER ALLOCATION IN OFDM-BASED COGNITIVE RADIO SYSTEMS
POWER ALLOCATION IN OFDM-BASED COGNITIVE RADIO SYSTEMS by Shibiao Zhao B.Sc., Jilin University, Changchun, P.R.China, 1992 A thesis Presented to the Yeates School of Graduate Studies at Ryerson University
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 informationA Hybrid Synchronization Technique for the Frequency Offset Correction in OFDM
A Hybrid Synchronization Technique for the Frequency Offset Correction in OFDM Sameer S. M Department of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur West
More informationPower Efficiency of LDPC Codes under Hard and Soft Decision QAM Modulated OFDM
Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 4, Number 5 (2014), pp. 463-468 Research India Publications http://www.ripublication.com/aeee.htm Power Efficiency of LDPC Codes under
More informationCombination of Modified Clipping Technique and Selective Mapping for PAPR Reduction
www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 5 Issue 09 September 2016 Page No.17848-17852 Combination of Modified Clipping Technique and Selective Mapping
More informationFractional Cooperation and the Max-Min Rate in a Multi-Source Cooperative Network
Fractional Cooperation and the Max-Min Rate in a Multi-Source Cooperative Network Ehsan Karamad and Raviraj Adve The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of
More informationOFDM/OQAM PREAMBLE-BASED LMMSE CHANNEL ESTIMATION TECHNIQUE
OFDM/OQAM PREAMBLE-BASED LMMSE CHANNEL ESTIMATION TECHNIQUE RAJITHA RAMINENI (M.tech) 1 R.RAMESH BABU (Ph.D and M.Tech) 2 Jagruti Institute of Engineering & Technology, Koheda Road, chintapalliguda, Ibrahimpatnam,
More informationRESOURCE ALLOCATION FOR OFDMA BASED COGNITIVE RADIO SYSTEM USING JOINT OVERLAY AND UNDERLAY SPECTRUM ACCESS MECHANISM
RESOURCE ALLOCATION FOR OFDMA BASED COGNITIVE RADIO SYSTEM USING JOINT OVERLAY AND UNDERLAY SPECTRUM ACCESS MECHANISM K. R. Shanthy M. E. 1, M. Suganthi 2 and S. Kumaran 1 1 Department of Electronics and
More informationDynamic Subchannel and Bit Allocation in Multiuser OFDM with a Priority User
Dynamic Subchannel and Bit Allocation in Multiuser OFDM with a Priority User Changho Suh, Yunok Cho, and Seokhyun Yoon Samsung Electronics Co., Ltd, P.O.BOX 105, Suwon, S. Korea. email: becal.suh@samsung.com,
More informationChannel Estimation in Multipath fading Environment using Combined Equalizer and Diversity Techniques
International Journal of Scientific & Engineering Research Volume3, Issue 1, January 2012 1 Channel Estimation in Multipath fading Environment using Combined Equalizer and Diversity Techniques Deepmala
More informationEasyChair Preprint. A User-Centric Cluster Resource Allocation Scheme for Ultra-Dense Network
EasyChair Preprint 78 A User-Centric Cluster Resource Allocation Scheme for Ultra-Dense Network Yuzhou Liu and Wuwen Lai EasyChair preprints are intended for rapid dissemination of research results and
More informationComparative study of 5G waveform candidates for below 6GHz air interface
Comparative study of 5G waveform candidates for below 6GHz air interface R.Gerzaguet, D. Kténas, N. Cassiau and J-B. Doré CEA-Leti Minatec Campus Grenoble, France Abstract 5G will have to cope with a high
More informationAbstract. Keywords - Cognitive Radio, Bit Error Rate, Rician Fading, Reed Solomon encoding, Convolution encoding.
Analysing Cognitive Radio Physical Layer on BER Performance over Rician Fading Amandeep Kaur Virk, Ajay K Sharma Computer Science and Engineering Department, Dr. B.R Ambedkar National Institute of Technology,
More informationOFDM and MC-CDMA A Primer
OFDM and MC-CDMA A Primer L. Hanzo University of Southampton, UK T. Keller Analog Devices Ltd., Cambridge, UK IEEE PRESS IEEE Communications Society, Sponsor John Wiley & Sons, Ltd Contents About the Authors
More informationAn Effective Subcarrier Allocation Algorithm for Future Wireless Communication Systems
An Effective Subcarrier Allocation Algorithm for Future Wireless Communication Systems K.Siva Rama Krishna, K.Veerraju Chowdary, M.Shiva, V.Rama Krishna Raju Abstract- This paper focuses on the algorithm
More informationON THE DESIGN OF AN FBMC BASED AIR INTERFACE ENABLING CHANNEL ADAPTIVE PULSE SHAPING PER SUB-BAND
rd European Signal Processing Conference EUSIPCO) ON THE DESIGN OF AN FBMC BASED AIR INTERFACE ENABLING CHANNEL ADAPTIVE PULSE SHAPING PER SUB-BAND Martin Fuhrwerk and Jürgen Peissig Institute of Communication
More informationEfficient utilization of Spectral Mask in OFDM based Cognitive Radio Networks
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 6, Ver. III (Nov - Dec. 2014), PP 94-99 Efficient utilization of Spectral Mask
More informationREDUCING PAPR OF OFDM BASED WIRELESS SYSTEMS USING COMPANDING WITH CONVOLUTIONAL CODES
REDUCING PAPR OF OFDM BASED WIRELESS SYSTEMS USING COMPANDING WITH CONVOLUTIONAL CODES Pawan Sharma 1 and Seema Verma 2 1 Department of Electronics and Communication Engineering, Bhagwan Parshuram Institute
More informationAN EFFICIENT RESOURCE ALLOCATION FOR MULTIUSER MIMO-OFDM SYSTEMS WITH ZERO-FORCING BEAMFORMER
AN EFFICIENT RESOURCE ALLOCATION FOR MULTIUSER MIMO-OFDM SYSTEMS WITH ZERO-FORCING BEAMFORMER Young-il Shin Mobile Internet Development Dept. Infra Laboratory Korea Telecom Seoul, KOREA Tae-Sung Kang Dept.
More informationPerformance Evaluation using M-QAM Modulated Optical OFDM Signals
Proc. of Int. Conf. on Recent Trends in Information, Telecommunication and Computing, ITC Performance Evaluation using M-QAM Modulated Optical OFDM Signals Harsimran Jit Kaur 1 and Dr.M. L. Singh 2 1 Chitkara
More informationSome Areas for PLC Improvement
Some Areas for PLC Improvement Andrea M. Tonello EcoSys - Embedded Communication Systems Group University of Klagenfurt Klagenfurt, Austria email: andrea.tonello@aau.at web: http://nes.aau.at/tonello web:
More informationReduction of PAR and out-of-band egress. EIT 140, tom<at>eit.lth.se
Reduction of PAR and out-of-band egress EIT 140, tomeit.lth.se Multicarrier specific issues The following issues are specific for multicarrier systems and deserve special attention: Peak-to-average
More informationPerformance Analysis of Optimal Scheduling Based Firefly algorithm in MIMO system
Performance Analysis of Optimal Scheduling Based Firefly algorithm in MIMO system Nidhi Sindhwani Department of ECE, ASET, GGSIPU, Delhi, India Abstract: In MIMO system, there are several number of users
More informationHigh Performance Phase Rotated Spreading Codes for MC-CDMA
2016 International Conference on Computing, Networking and Communications (ICNC), Workshop on Computing, Networking and Communications (CNC) High Performance Phase Rotated Spreading Codes for MC-CDMA Zhiping
More informationFPGA Implementation of Gaussian Multicarrier. Receiver with Iterative. Interference. Canceller. Tokyo Institute of Technology
FPGA Implementation of Gaussian Multicarrier Receiver with Iterative Interference Canceller Tetsuou Ohori,, Satoshi Suyama, Hiroshi Suzuki, and Kazuhiko Fukawa Tokyo Institute of Technology This work was
More informationOFDMA Networks. By Mohamad Awad
OFDMA Networks By Mohamad Awad Outline Wireless channel impairments i and their effect on wireless communication Channel modeling Sounding technique OFDM as a solution OFDMA as an improved solution MIMO-OFDMA
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 informationPower Allocation with Random Removal Scheme in Cognitive Radio System
, July 6-8, 2011, London, U.K. Power Allocation with Random Removal Scheme in Cognitive Radio System Deepti Kakkar, Arun khosla and Moin Uddin Abstract--Wireless communication services have been increasing
More informationInter-Cell Interference Coordination in Wireless Networks
Inter-Cell Interference Coordination in Wireless Networks PhD Defense, IRISA, Rennes, 2015 Mohamad Yassin University of Rennes 1, IRISA, France Saint Joseph University of Beirut, ESIB, Lebanon Institut
More informationMulti-Relay Selection Based Resource Allocation in OFDMA System
IOS Journal of Electronics and Communication Engineering (IOS-JECE) e-iss 2278-2834,p- ISS 2278-8735.Volume, Issue 6, Ver. I (ov.-dec.206), PP 4-47 www.iosrjournals.org Multi-elay Selection Based esource
More informationOFDM AS AN ACCESS TECHNIQUE FOR NEXT GENERATION NETWORK
OFDM AS AN ACCESS TECHNIQUE FOR NEXT GENERATION NETWORK Akshita Abrol Department of Electronics & Communication, GCET, Jammu, J&K, India ABSTRACT With the rapid growth of digital wireless communication
More informationPerformance of OFDM-Based Cognitive Radio
International Journal of Engineering Science Invention ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 2 Issue 4 ǁ April. 2013 ǁ PP.51-57 Performance of OFDM-Based Cognitive Radio Geethu.T.George
More informationCOGNITIVE Radio (CR) [1] has been widely studied. Tradeoff between Spoofing and Jamming a Cognitive Radio
Tradeoff between Spoofing and Jamming a Cognitive Radio Qihang Peng, Pamela C. Cosman, and Laurence B. Milstein School of Comm. and Info. Engineering, University of Electronic Science and Technology of
More informationChapter 6. Agile Transmission Techniques
Chapter 6 Agile Transmission Techniques 1 Outline Introduction Wireless Transmission for DSA Non Contiguous OFDM (NC-OFDM) NC-OFDM based CR: Challenges and Solutions Chapter 6 Summary 2 Outline Introduction
More informationOFDM Pilot Optimization for the Communication and Localization Trade Off
SPCOMNAV Communications and Navigation OFDM Pilot Optimization for the Communication and Localization Trade Off A. Lee Swindlehurst Dept. of Electrical Engineering and Computer Science The Henry Samueli
More informationAlgorithm to Improve the Performance of OFDM based WLAN Systems
International Journal of Computer Science & Communication Vol. 1, No. 2, July-December 2010, pp. 27-31 Algorithm to Improve the Performance of OFDM based WLAN Systems D. Sreenivasa Rao 1, M. Kanti Kiran
More informationTrellis-Coded-Modulation-OFDMA for Spectrum Sharing in Cognitive Environment
Trellis-Coded-Modulation-OFDMA for Spectrum Sharing in Cognitive Environment Nader Mokari Department of ECE Tarbiat Modares University Tehran, Iran Keivan Navaie School of Electronic & Electrical Eng.
More informationPAPR REDUCTION TECHNIQUE USING MODIFIED SLM IN OFDM SYSTEM
PAPR REDUCTION TECHNIQUE USING MODIFIED SLM IN OFDM SYSTEM Mukul Dr. Sajjan Singh M. Tech Research Scholar, Department of ECE, Associate Professor, Department of ECE BRCM CET, Bahal, Bhiwani, India BRCM
More informationScaled SLNR Precoding for Cognitive Radio
Scaled SLNR Precoding for Cognitive Radio Yiftach Richter Faculty of Engineering Bar-Ilan University Ramat-Gan, Israel Email: yifric@gmail.com Itsik Bergel Faculty of Engineering Bar-Ilan University Ramat-Gan,
More information2.
PERFORMANCE ANALYSIS OF STBC-MIMO OFDM SYSTEM WITH DWT & FFT Shubhangi R Chaudhary 1,Kiran Rohidas Jadhav 2. Department of Electronics and Telecommunication Cummins college of Engineering for Women Pune,
More informationWaveform Candidates for 5G Networks: Analysis and Comparison
1 Waveform Candidates for 5G Networks: Analysis and Comparison Yinsheng Liu, Xia Chen, Zhangdui Zhong, Bo Ai, Deshan Miao, Zhuyan Zhao, Jingyuan Sun, Yong Teng, and Hao Guan. arxiv:1609.02427v1 [cs.it]
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 informationSelected answers * Problem set 6
Selected answers * Problem set 6 Wireless Communications, 2nd Ed 243/212 2 (the second one) GSM channel correlation across a burst A time slot in GSM has a length of 15625 bit-times (577 ) Of these, 825
More informationComb type Pilot arrangement based Channel Estimation for Spatial Multiplexing MIMO-OFDM Systems
Comb type Pilot arrangement based Channel Estimation for Spatial Multiplexing MIMO-OFDM Systems Mr Umesha G B 1, Dr M N Shanmukha Swamy 2 1Research Scholar, Department of ECE, SJCE, Mysore, Karnataka State,
More informationJournal of Asian Scientific Research DEVELOPMENT OF A COGNITIVE RADIO MODEL USING WAVELET PACKET TRANSFORM - BASED ENERGY DETECTION TECHNIQUE
Journal of Asian Scientific Research ISSN(e): 2223-1331/ISSN(p): 2226-5724 URL: www.aessweb.com DEVELOPMENT OF A COGNITIVE RADIO MODEL USING WAVELET PACKET TRANSFORM - BASED ENERGY DETECTION TECHNIQUE
More informationChapter 12. Cross-Layer Optimization for Multi- Hop Cognitive Radio Networks
Chapter 12 Cross-Layer Optimization for Multi- Hop Cognitive Radio Networks 1 Outline CR network (CRN) properties Mathematical models at multiple layers Case study 2 Traditional Radio vs CR Traditional
More informationCarrier Frequency Offset Estimation Algorithm in the Presence of I/Q Imbalance in OFDM Systems
Carrier Frequency Offset Estimation Algorithm in the Presence of I/Q Imbalance in OFDM Systems K. Jagan Mohan, K. Suresh & J. Durga Rao Dept. of E.C.E, Chaitanya Engineering College, Vishakapatnam, India
More informationBit Error Rate Performance Evaluation of Various Modulation Techniques with Forward Error Correction Coding of WiMAX
Bit Error Rate Performance Evaluation of Various Modulation Techniques with Forward Error Correction Coding of WiMAX Amr Shehab Amin 37-20200 Abdelrahman Taha 31-2796 Yahia Mobasher 28-11691 Mohamed Yasser
More informationCOMPARISON OF SLM & PTS TECHNIQUES FOR REDUCING PAPR IN OFDM
COMPARISON OF SLM & PTS TECHNIQUES FOR REDUCING PAPR IN OFDM Bala Bhagya Sree.Ch 1, Aruna Kumari.S 2 1 Department of ECE, Mallareddy college of Engineering& Technology, Hyderabad, India 2 Associate Professor
More informationA Practical Resource Allocation Approach for Interference Management in LTE Uplink Transmission
JOURNAL OF COMMUNICATIONS, VOL. 6, NO., JULY A Practical Resource Allocation Approach for Interference Management in LTE Uplink Transmission Liying Li, Gang Wu, Hongbing Xu, Geoffrey Ye Li, and Xin Feng
More informationKeywords: MC-CDMA, PAPR, Partial Transmit Sequence, Complementary Cumulative Distribution Function.
ol. 2, Issue4, July-August 2012, pp.1192-1196 PAPR Reduction of an MC-CDMA System through PTS Technique using Suboptimal Combination Algorithm Gagandeep Kaur 1, Rajbir Kaur 2 Student 1, University College
More information