s3.kth.se Opportunistic Beamforming with Dumb Antennas for Clustered OFDM
|
|
- Erika Lucas
- 5 years ago
- Views:
Transcription
1 Opportunistic Beamforming with Dumb Antennas for Clustered OFDM Patrick Svedman, Katie Wilson and Len Cimini 1 November 28, 2003
2 Outline PSfrag replacements OFDM Multiuser Diversity Opp. Beamforming Opp. OFDM Conclusions Future Work Feedback Prel. Results Patrick Svedman, Katie Wilson and Len Cimini 2 November 28, 2003
3 Orthogonal Frequency Division Multiplexing Instead of equalizing the fading channel, divide the channel into sub-channels, which can be considered as flat. Channel Gain MHz Patrick Svedman, Katie Wilson and Len Cimini 3 November 28, 2003
4 Multiuser Diversity Uncorrelated (time-varying) channels of different users the users can be scheduled in a favourable way. Schedule a user when his channel is relatively strong. SNR PSfrag replacements time User 1 User 2 User 3 Patrick Svedman, Katie Wilson and Len Cimini 4 November 28, 2003
5 Opportunistic Beamforming Traditionally, multiple antennas have often been used to combat fading (e.g. space-time block coding). Opportunistic beamforming using dumb antennas: randomly form the beams for each data block to increase the fading of the users! Also stationary users will experience temporal fading! C.f. Viswanath, Tse and Laroia Opportunistic Beamforming Using Dumb Antennas IEEE Trans. Inform. Theory, vol 48, pp , June Patrick Svedman, Katie Wilson and Len Cimini 5 November 28, 2003
6 Opportunism for an OFDM downlink In an OFDM downlink, different users can be scheduled on different subcarriers. This introduces another dimension on which the users can be scheduled! What if the users experience relatively flat channels? More frequency fading can be induced by having different beamforming weights on different subcarriers. Patrick Svedman, Katie Wilson and Len Cimini 6 November 28, 2003
7 Time-frequency grid of one user frequency time Patrick Svedman, Katie Wilson and Len Cimini 7 November 28, 2003
8 What about feedback? The scheduler requires knowledge of the frequency responses of all users much feedback Improvement 1: Clustered OFDM Divide the subcarriers into clusters (of adjacent subcarriers). If the cluster-size is appropriate, the correlation between the sub-carriers in one cluster is high. Improvement 2: Feed back information only about the strongest clusters. The weakest will not be scheduled anyway! much less feedback. Patrick Svedman, Katie Wilson and Len Cimini 8 November 28, 2003
9 Preliminary Simulation Results Comparison between 1. Opportunistic OFDM with clustering and reduced feedback 2. Opportunistic OFDM with full feedback 3. A smart antenna solution (beamforming on the largest eigenvalue), with round-robin scheduling Simple scenario HIPERLAN/2 channel model (64 sub-carriers) Equally distributed users Maximum system throughput considered Fairness not considered yet Patrick Svedman, Katie Wilson and Len Cimini 9 November 28, 2003
10 Throughput vs Number of Users: SNR = 0 db, Channel delay-spread = 100 ns Throughput Method 1, waterfilling Method 1, equal power Method 2, waterfilling Method 2, equal power Method 3, waterfilling users Patrick Svedman, Katie Wilson and Len Cimini 10 November 28, 2003
11 Throughput vs Channel Delay-spread: SNR = 0 db, 32 users Throughput gamma Method 1, waterfilling Method 1, equal power Method 2, waterfilling Method 2, equal power Method 3, waterfilling Patrick Svedman, Katie Wilson and Len Cimini 11 November 28, 2003
12 Throughput vs amount of feedback information Q: SNR = 0 db, Channel Delay-spread = 100 ns throughput users Method 1, Q=1 Method 1, Q=2 Method 1, Q=3 Method 1, Q=16 Method 2 Patrick Svedman, Katie Wilson and Len Cimini 12 November 28, 2003
13 Throughput vs cluster-size N: SNR = 0 db, 32 users throughput N=1 N=2 N=3 N=6 N=12 N= gamma Patrick Svedman, Katie Wilson and Len Cimini 13 November 28, 2003
14 One User, on-off waterfilling Relative Doppler 1%, OFDM symbol with 256 tones, 4PSK 10 0 modulation Bits per Assigned Tone SNR (db) Patrick Svedman, Katie Wilson and Len Cimini 14 November 28, 2003
15 One User, on-off waterfilling Relative Doppler 1%, OFDM symbol with 256 tones, 4PSK PSK on off water filling 4PSK all tones modulation Bits per OFDM symbol SNR (db) Patrick Svedman, Katie Wilson and Len Cimini 15 November 28, 2003
16 One User, on-off waterfilling Relative Doppler 1%, OFDM symbol with 256 tones, 4PSK modulation Fraction of symbols that are no good to user of interest SNR (db) Patrick Svedman, Katie Wilson and Len Cimini 16 November 28, 2003
17 Conclusions: Opportunistic beamforming with clustered OFDM promises throughput on par with a smart antenna solution, with little feedback and possibly a lower complexity basestation. Future work: Design of a fair scheduler Analysis of the impact of channel estimation and feedback error/delay More realistic simulations, especially regarding the channel models and more Patrick Svedman, Katie Wilson and Len Cimini 17 November 28, 2003
Smart Scheduling and Dumb Antennas
Smart Scheduling and Dumb Antennas David Tse Department of EECS, U.C. Berkeley September 20, 2002 Berkeley Wireless Research Center Opportunistic Communication One line summary: Transmit when and where
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 informationOpportunistic Communication: From Theory to Practice
Opportunistic Communication: From Theory to Practice David Tse Department of EECS, U.C. Berkeley March 9, 2005 Viterbi Conference Fundamental Feature of Wireless Channels: Time Variation Channel Strength
More informationA Brief Review of Opportunistic Beamforming
A Brief Review of Opportunistic Beamforming Hani Mehrpouyan Department of Electrical and Computer Engineering Queen's University, Kingston, Ontario, K7L3N6, Canada Emails: 5hm@qlink.queensu.ca 1 Abstract
More information1 Opportunistic Communication: A System View
1 Opportunistic Communication: A System View Pramod Viswanath Department of Electrical and Computer Engineering University of Illinois, Urbana-Champaign The wireless medium is often called a fading channel:
More informationOpportunistic Beamforming Using Dumb Antennas
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 48, NO. 6, JUNE 2002 1277 Opportunistic Beamforming Using Dumb Antennas Pramod Viswanath, Member, IEEE, David N. C. Tse, Member, IEEE, and Rajiv Laroia, Fellow,
More informationDynamic Fair Channel Allocation for Wideband Systems
Outlines Introduction and Motivation Dynamic Fair Channel Allocation for Wideband Systems Department of Mobile Communications Eurecom Institute Sophia Antipolis 19/10/2006 Outline of Part I Outlines Introduction
More informationCooperative Relaying Networks
Cooperative Relaying Networks A. Wittneben Communication Technology Laboratory Wireless Communication Group Outline Pervasive Wireless Access Fundamental Performance Limits Cooperative Signaling Schemes
More informationEmerging Technologies for High-Speed Mobile Communication
Dr. Gerd Ascheid Integrated Signal Processing Systems (ISS) RWTH Aachen University D-52056 Aachen GERMANY gerd.ascheid@iss.rwth-aachen.de ABSTRACT Throughput requirements in mobile communication are increasing
More informationAnalysis and Improvements of Linear Multi-user user MIMO Precoding Techniques
1 Analysis and Improvements of Linear Multi-user user MIMO Precoding Techniques Bin Song and Martin Haardt Outline 2 Multi-user user MIMO System (main topic in phase I and phase II) critical problem Downlink
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 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 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 informationPerformance Analysis of Multiuser MIMO Systems with Scheduling and Antenna Selection
Performance Analysis of Multiuser MIMO Systems with Scheduling and Antenna Selection Mohammad Torabi Wessam Ajib David Haccoun Dept. of Electrical Engineering Dept. of Computer Science Dept. of Electrical
More informationCohere Technologies Performance evaluation of OTFS waveform in single user scenarios Agenda item: Document for: Discussion
1 TSG RA WG1 Meeting #86 R1-167593 Gothenburg, Sweden, August 22-26, 2016 Source: Cohere Technologies Title: Performance evaluation of OTFS waveform in single user scenarios Agenda item: 8.1.2.1 Document
More informationMU-MIMO with Fixed Beamforming for
MU-MIMO with Fixed Beamforming for FDD Systems Manfred Litzenburger, Thorsten Wild, Michael Ohm Alcatel-Lucent R&I Stuttgart, Germany MU-MIMO - Motivation MU-MIMO Supporting multiple users in a cell on
More informationENHANCED BANDWIDTH EFFICIENCY IN WIRELESS OFDMA SYSTEMS THROUGH ADAPTIVE SLOT ALLOCATION ALGORITHM
ENHANCED BANDWIDTH EFFICIENCY IN WIRELESS OFDMA SYSTEMS THROUGH ADAPTIVE SLOT ALLOCATION ALGORITHM K.V. N. Kavitha 1, Siripurapu Venkatesh Babu 1 and N. Senthil Nathan 2 1 School of Electronics Engineering,
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version
Tran, M., Doufexi, A., & Nix, AR. (8). Mobile WiMAX MIMO performance analysis: downlink and uplink. In IEEE Personal and Indoor Mobile Radio Conference 8 (PIMRC), Cannes (pp. - 5). Institute of Electrical
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 informationResource Allocation in Energy-constrained Cooperative Wireless Networks
Resource Allocation in Energy-constrained Cooperative Wireless Networks Lin Dai City University of Hong ong Jun. 4, 2011 1 Outline Resource Allocation in Wireless Networks Tradeoff between Fairness and
More informationLow-Complexity Beam Allocation for Switched-Beam Based Multiuser Massive MIMO Systems
Low-Complexity Beam Allocation for Switched-Beam Based Multiuser Massive MIMO Systems Jiangzhou Wang University of Kent 1 / 31 Best Wishes to Professor Fumiyuki Adachi, Father of Wideband CDMA [1]. [1]
More informationIN modern cellular network standards like HSPA, 1xEVDO,
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 2, DECEMBER 27 425 Throughput Guarantees for Wireless Networks with Opportunistic Scheduling: A Comparative Study Vegard Hassel, Geir E. Øien,
More informationA Smart Grid System Based On Cloud Cognitive Radio Using Beamforming Approach In Wireless Sensor Network
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735 PP 48-53 www.iosrjournals.org A Smart Grid System Based On Cloud Cognitive Radio Using Beamforming
More informationUnit 7 - Week 6 - Wide Sense Stationary Uncorrelated Scattering (WSSUS) Channel Model
X Courses» Introduction to Wireless and Cellular Communications Announcements Course Forum Progress Mentor Unit 7 - Week 6 - Wide Sense Stationary Uncorrelated Scattering (WSSUS) Channel Model Course outline
More informationAcademic Course Description
Academic Course Description SRM University Faculty of Engineering and Technology Department of Electronics and Communication Engineering CO2110 OFDM/OFDMA Communications Third Semester, 2016-17 (Odd semester)
More information802.11ax Design Challenges. Mani Krishnan Venkatachari
802.11ax Design Challenges Mani Krishnan Venkatachari Wi-Fi: An integral part of the wireless landscape At the center of connected home Opening new frontiers for wireless connectivity Wireless Display
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 informationLecture 7: Centralized MAC protocols. Mythili Vutukuru CS 653 Spring 2014 Jan 27, Monday
Lecture 7: Centralized MAC protocols Mythili Vutukuru CS 653 Spring 2014 Jan 27, Monday Centralized MAC protocols Previous lecture contention based MAC protocols, users decide who transmits when in a decentralized
More informationPerformance of wireless Communication Systems with imperfect CSI
Pedagogy lecture Performance of wireless Communication Systems with imperfect CSI Yogesh Trivedi Associate Prof. Department of Electronics and Communication Engineering Institute of Technology Nirma University
More informationInvestigation on Multiple Antenna Transmission Techniques in Evolved UTRA. OFDM-Based Radio Access in Downlink. Features of Evolved UTRA and UTRAN
Evolved UTRA and UTRAN Investigation on Multiple Antenna Transmission Techniques in Evolved UTRA Evolved UTRA (E-UTRA) and UTRAN represent long-term evolution (LTE) of technology to maintain continuous
More informationDynamic Resource Allocation for Efficient Wireless Packet Data Communcations
for Efficient Wireless Assistant Professor Department of Electrical Engineering Indian Institute of Technology Madras Joint work with: M. Chandrashekar V. Sandeep Parimal Parag for March 17, 2006 Broadband
More informationWiMAX Summit Testing Requirements for Successful WiMAX Deployments. Fanny Mlinarsky. 28-Feb-07
WiMAX Summit 2007 Testing Requirements for Successful WiMAX Deployments Fanny Mlinarsky 28-Feb-07 Municipal Multipath Environment www.octoscope.com 2 WiMAX IP-Based Architecture * * Commercial off-the-shelf
More informationTransmit Diversity Schemes for CDMA-2000
1 of 5 Transmit Diversity Schemes for CDMA-2000 Dinesh Rajan Rice University 6100 Main St. Houston, TX 77005 dinesh@rice.edu Steven D. Gray Nokia Research Center 6000, Connection Dr. Irving, TX 75240 steven.gray@nokia.com
More informationAdaptive Modulation and Coding (AMC)
TSG-RAN WG1#17 Stockholm, Sweden, th-th Oct Agenda Item: Adhoc#, HSDPA Source: Motorola TSGR1#17()1395 1. Introduction Adaptive Modulation and Coding (AMC) This contribution provides the text for Section.
More informationA Unified View on the Interplay of Scheduling and MIMO Technologies in Wireless Systems
A Unified View on the Interplay of Scheduling and MIMO Technologies in Wireless Systems Li-Chun Wang and Chiung-Jang Chen National Chiao Tung University, Taiwan 03/08/2004 1 Outline MIMO antenna systems
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 informationLecture 5: Antenna Diversity and MIMO Capacity Theoretical Foundations of Wireless Communications 1
Antenna, Antenna : Antenna and Theoretical Foundations of Wireless Communications 1 Friday, April 27, 2018 9:30-12:00, Kansliet plan 3 1 Textbook: D. Tse and P. Viswanath, Fundamentals of Wireless Communication
More informationAcademic Course Description. CO2110 OFDM/OFDMA COMMUNICATIONS Third Semester, (Odd semester)
Academic Course Description SRM University Faculty of Engineering and Technology Department of Electronics and Communication Engineering CO2110 OFDM/OFDMA COMMUNICATIONS Third Semester, 2014-15 (Odd semester)
More informationOpportunistic Scheduling and Beamforming Schemes for MIMO-SDMA Downlink Systems with Linear Combining
Opportunistic Scheduling and Beamforming Schemes for MIMO-SDMA Downlink Systems with Linear Combining Man-On Pun, Visa Koivunen and H. Vincent Poor Abstract Opportunistic scheduling and beamforming schemes
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 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 information6 Multiuser capacity and
CHAPTER 6 Multiuser capacity and opportunistic communication In Chapter 4, we studied several specific multiple access techniques (TDMA/FDMA, CDMA, OFDM) designed to share the channel among several users.
More informationInter-Cell Interference Mitigation in Cellular Networks Applying Grids of Beams
Inter-Cell Interference Mitigation in Cellular Networks Applying Grids of Beams Christian Müller c.mueller@nt.tu-darmstadt.de The Talk was given at the meeting of ITG Fachgruppe Angewandte Informationstheorie,
More informationRandom Beamforming in Correlated MISO Channels for Multiuser Systems
Random Beamforming in Correlated MISO Channels for Multiuser Systems Andreas Senst, Peter Schulz-Rittich, Ulrich Krause, Gerd Ascheid, and Heinrich Meyr Institute for Integrated Signal Processing Systems
More informationClosed-loop MIMO performance with 8 Tx antennas
Closed-loop MIMO performance with 8 Tx antennas Document Number: IEEE C802.16m-08/623 Date Submitted: 2008-07-14 Source: Jerry Pi, Jay Tsai Voice: +1-972-761-7944, +1-972-761-7424 Samsung Telecommunications
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /VETECF.2011.
Vatsikas, S., Armour, SMD., De Vos, M., & Lewis, T. (2011). A fast and fair algorithm for distributed subcarrier allocation using coalitions and the Nash bargaining solution. In IEEE Vehicular Technology
More informationUser Resource Structure Design with Enhanced Diversity for OFDMA in Time-Varying Channels
This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the WCNC 009 proceedings. User Resource Structure Design with Enhanced Diversity
More informationCombined Opportunistic Beamforming and Receive Antenna Selection
Combined Opportunistic Beamforming and Receive Antenna Selection Lei Zan, Syed Ali Jafar University of California Irvine Irvine, CA 92697-262 Email: lzan@uci.edu, syed@ece.uci.edu Abstract Opportunistic
More informationUnit 8 - Week 7 - Computer simulation of Rayleigh fading, Antenna Diversity
X Courses» Introduction to Wireless and Cellular Communications Announcements Course Forum Progress Mentor Unit 8 - Week 7 - Computer simulation of Rayleigh fading, Antenna Diversity Course outline How
More informationSNR PREDICTION FOR OPPORTUNISTIC BEAMFORMING USING ADAPTIVE FILTERS. Markus Jordan, Niels Hadaschik, Gerd Ascheid and Heinrich Meyr
SNR PREDICTION FOR OPPORTUNISTIC BEAMFORMING USING ADAPTIVE FILTERS Markus Jordan, Niels Hadaschik, Gerd Ascheid and Heinrich Meyr Institute for Integrated Signal Processing Systems RWTH Aachen University
More informationUPLINK SPATIAL SCHEDULING WITH ADAPTIVE TRANSMIT BEAMFORMING IN MULTIUSER MIMO SYSTEMS
UPLINK SPATIAL SCHEDULING WITH ADAPTIVE TRANSMIT BEAMFORMING IN MULTIUSER MIMO SYSTEMS Yoshitaka Hara Loïc Brunel Kazuyoshi Oshima Mitsubishi Electric Information Technology Centre Europe B.V. (ITE), France
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 informationPOLARISATION DEPENDENT MIMO GAINS ON MULTIUSER DOWNLINK OFDMA WITH A 3GPP LTE AIR INTERFACE IN TYPICAL URBAN OUTDOOR SCENARIOS
POLARISATION DEPENDENT MIMO GAINS ON MULTIUSER DOWNLINK OFDMA WITH A 3GPP LTE AIR INTERFACE IN TYPICAL URBAN OUTDOOR SCENARIOS T. Wirth, V. Jungnickel, A. Forck, S. Wahls Fraunhofer Institute for Telecommunications
More informationChSim A wireless channel simulator for OMNeT++
ChSim A wireless channel simulator for OMNeT++ Simulation workshop TKN, TU Berlin September 08, 2006 Computer Networks Group Universität Paderborn Outline Introduction Example scenario, results & modeling
More informationISSN: (Online) Volume 2, Issue 6, June 2014 International Journal of Advance Research in Computer Science and Management Studies
ISSN: 2321-7782 (Online) Volume 2, Issue 6, June 2014 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online
More informationOn the Performance Comparison of VSF-OFCDMA
On the Performance Comparison of VSF-OFCDMA and OFDMA Chia-Chin Chong, Fujio Watanabe and Hiroshi Inamura DoCoMo Communications Laboratories USA, Inc. 3240 Hillview Avenue, Palo Alto, CA 94304 Email: {cchong.watanabe.inamura}@docomolabs-usa.com
More informationCross-layer Scheduling and Resource Allocation in Wireless Communication Systems
Cross-layer Scheduling and Resource Allocation in Wireless Communication Systems Srikrishna Bhashyam Department of Electrical Engineering Indian Institute of Technology Madras 2 July 2014 Srikrishna Bhashyam
More informationMulti Antenna Solutions in Vehicle Environment
Multi Antenna Solutions in Vehicle Environment Hiro Onishi (Alpine Electronics Research of America, Inc.) Fanny Mlinarsky (octoscope, Inc.) 2014 Alpine Electronics, Inc. Not for commercial distribution.
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 informationDownlink Scheduling in Long Term Evolution
From the SelectedWorks of Innovative Research Publications IRP India Summer June 1, 2015 Downlink Scheduling in Long Term Evolution Innovative Research Publications, IRP India, Innovative Research Publications
More informationOn MIMO Signal Processing for Adaptive W-CDMA and OFDM Wireless Transceivers
On IO Signal Processing for Adaptive W-CDA and OFD Wireless Transceivers Danijela Čabrić*, Dejan arković, Robert W. Brodersen Berkeley Wireless Research Center, UC Berkeley {danijela, dejan, rb}@eecs.berkeley.edu
More informationChannel Estimation Schemes for OFDM Relay-Assisted System
Channel Estimation Schemes for OFDM Relay-Assisted System Darlene Maciel, C. Ribeiro, A. Silva e Atílio Gameiro darlene@av.it.pt Workshop 2009 Outline Introduction Motivation PACE Schemes Simulation Scenario
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 informationFeedback Design for Multi-User MIMO Systems
Feedback Design for Multi-User MIMO Systems V. Jungnickel 1, L. Thiele 1, T. Wirth 1, M. Schellmann 1, T. austein 2, V. Venkatkumar 2 1 Fraunhofer Institute for Telecommunications einrich-ertz-institut,
More informationAn efficient user scheduling scheme for downlink Multiuser MIMO-OFDM systems with Block Diagonalization
An efficient user scheduling scheme for downlink Multiuser MIMO-OFDM systems with Block Diagonalization Mounir Esslaoui and Mohamed Essaaidi Information and Telecommunication Systems Laboratory Abdelmalek
More informationMODELLING AND SIMULATION OF LOCAL AREA WIRELESS CHANNELS FOR WLAN PERFORMANCE ANALYSIS
MODELLING AND SIMULATION OF LOCAL AREA WIRELESS CHANNELS FOR WLAN PERFORMANCE ANALYSIS Simmi Dutta, Assistant Professor Computer Engineering Deptt., Govt. College of Engg. & Tech., Jammu. Email: simmi_dutta@rediffmail.com;
More informationEECS 380: Wireless Technologies Week 7-8
EECS 380: Wireless Technologies Week 7-8 Michael L. Honig Northwestern University May 2018 Outline Diversity, MIMO Multiple Access techniques FDMA, TDMA OFDMA (LTE) CDMA (3G, 802.11b, Bluetooth) Random
More informationAWGN Channel Performance Analysis of QO-STB Coded MIMO- OFDM System
AWGN Channel Performance Analysis of QO-STB Coded MIMO- OFDM System Pranil Mengane 1, Ajitsinh Jadhav 2 12 Department of Electronics & Telecommunication Engg, D.Y. Patil College of Engg & Tech, Kolhapur
More informationOutline / Wireless Networks and Applications Lecture 7: Physical Layer OFDM. Frequency-Selective Radio Channel. How Do We Increase Rates?
Page 1 Outline 18-452/18-750 Wireless Networks and Applications Lecture 7: Physical Layer OFDM Peter Steenkiste Carnegie Mellon University RF introduction Modulation and multiplexing Channel capacity Antennas
More informationInterpolation Based Transmit Beamforming. for MIMO-OFDM with Partial Feedback
Interpolation Based Transmit Beamforming for MIMO-OFDM with Partial Feedback Jihoon Choi and Robert W. Heath, Jr. The University of Texas at Austin Department of Electrical and Computer Engineering Wireless
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 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 informationRecent Advances on MIMO Processing. Mats Bengtsson, Cristoff Martin, Björn Ottersten, Ben Slimane and Per Zetterberg. June 2002
Recent Advances on MIMO Processing in the SATURN Project Mats Bengtsson, Cristoff Martin, Björn Ottersten, Ben Slimane and Per Zetterberg June 22 In proceedings of IST Mobile & Wireless Telecommunications
More informationResource Allocation for OFDM and Multi-user. Li Wei, Chathuranga Weeraddana Centre for Wireless Communications
Resource Allocation for OFDM and Multi-user MIMO Broadcast Li Wei, Chathuranga Weeraddana Centre for Wireless Communications University of Oulu Outline Joint Channel and Power Allocation in OFDMA System
More informationCombining Multi-User Diversity with Eigenbeamforming in Correlated Channels
Combining Multi-User Diversity with Eigenbeamforming in Correlated Channels Mario Castañeda, Michael Joham, Michel Ivrlač, and Josef A Nosse Institute for Circuit Theory and Signal Processing, Munich University
More informationMultiuser MIMO Channel Measurements and Performance in a Large Office Environment
Multiuser MIMO Channel Measurements and Performance in a Large Office Environment Gerhard Bauch 1, Jorgen Bach Andersen 3, Christian Guthy 2, Markus Herdin 1, Jesper Nielsen 3, Josef A. Nossek 2, Pedro
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 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 informationThe Acoustic Channel and Delay: A Tale of Capacity and Loss
The Acoustic Channel and Delay: A Tale of Capacity and Loss Yashar Aval, Sarah Kate Wilson and Milica Stojanovic Northeastern University, Boston, MA, USA Santa Clara University, Santa Clara, CA, USA Abstract
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 informationA SUBCARRIER AND BIT ALLOCATION ALGORITHM FOR MOBILE OFDMA SYSTEMS
A SUBCARRIER AND BIT ALLOCATION ALGORITHM FOR MOBILE OFDMA SYSTEMS Anderson Daniel Soares 1, Luciano Leonel Mendes 1 and Rausley A. A. Souza 1 1 Inatel Electrical Engineering Department P.O. BOX 35, Santa
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 informationAnalytical Evaluation of the Cell Spectral Efficiency of a Beamforming Enhanced IEEE m System
Analytical Evaluation of the Cell Spectral Efficiency of a Beamforming Enhanced IEEE 802.16m System Benedikt Wolz, Afroditi Kyrligkitsi Communication Networks (ComNets) Research Group Prof. Dr.-Ing. Bernhard
More informationWireless Physical Layer Concepts: Part III
Wireless Physical Layer Concepts: Part III Raj Jain Professor of CSE Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu These slides are available on-line at: http://www.cse.wustl.edu/~jain/cse574-08/
More informationStudy on the next generation ITS radio communication in Japan
Study on the next generation ITS radio communication in Japan DSRC International Task Force, Japan Contents 1. 5.8GHz DSRC in Japan (ARIB STD-T75) 2. Requirements for the next generation ITS radio communication
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 informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ICCE.2012.
Zhu, X., Doufexi, A., & Koçak, T. (2012). A performance enhancement for 60 GHz wireless indoor applications. In ICCE 2012, Las Vegas Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/ICCE.2012.6161865
More informationUnit 3 - Wireless Propagation and Cellular Concepts
X Courses» Introduction to Wireless and Cellular Communications Unit 3 - Wireless Propagation and Cellular Concepts Course outline How to access the portal Assignment 2. Overview of Cellular Evolution
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 informationAdaptive Resource Allocation in Multiuser OFDM Systems with Proportional Rate Constraints
TO APPEAR IN IEEE TRANS. ON WIRELESS COMMUNICATIONS 1 Adaptive Resource Allocation in Multiuser OFDM Systems with Proportional Rate Constraints Zukang Shen, Student Member, IEEE, Jeffrey G. Andrews, Member,
More informationFundamentals of Wireless Communication
Fundamentals of Wireless Communication David Tse University of California, Berkeley Pramod Viswanath University of Illinois, Urbana-Champaign Fundamentals of Wireless Communication, Tse&Viswanath 1. Introduction
More informationOn Comparison of DFT-Based and DCT-Based Channel Estimation for OFDM System
www.ijcsi.org 353 On Comparison of -Based and DCT-Based Channel Estimation for OFDM System Saqib Saleem 1, Qamar-ul-Islam Department of Communication System Engineering Institute of Space Technology Islamabad,
More informationPERFORMANCE ANALYSIS OF DOWNLINK MIMO IN 2X2 MOBILE WIMAX SYSTEM
PERFORMANCE ANALYSIS OF DOWNLINK MIMO IN 2X2 MOBILE WIMAX SYSTEM N.Prabakaran Research scholar, Department of ETCE, Sathyabama University, Rajiv Gandhi Road, Chennai, Tamilnadu 600119, India prabakar_kn@yahoo.co.in
More informationOptimal subcarrier allocation for 2-user downlink multiantenna OFDMA channels with beamforming interpolation
013 13th International Symposium on Communications and Information Technologies (ISCIT) Optimal subcarrier allocation for -user downlink multiantenna OFDMA channels with beamforming interpolation Kritsada
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 informationMassive MIMO: Signal Structure, Efficient Processing, and Open Problems I
Massive MIMO: Signal Structure, Efficient Processing, and Open Problems I Saeid Haghighatshoar Communications and Information Theory Group (CommIT) Technische Universität Berlin CoSIP Winter Retreat Berlin,
More informationUnit 5 - Week 4 - Multipath Fading Environment
2/29/207 Introduction to ireless and Cellular Communications - - Unit 5 - eek 4 - Multipath Fading Environment X Courses Unit 5 - eek 4 - Multipath Fading Environment Course outline How to access the portal
More informationBlock Error Rate and UE Throughput Performance Evaluation using LLS and SLS in 3GPP LTE Downlink
Block Error Rate and UE Throughput Performance Evaluation using LLS and SLS in 3GPP LTE Downlink Ishtiaq Ahmad, Zeeshan Kaleem, and KyungHi Chang Electronic Engineering Department, Inha University Ishtiaq001@gmail.com,
More informationOn Multiple Users Scheduling Using Superposition Coding over Rayleigh Fading Channels
On Multiple Users Scheduling Using Superposition Coding over Rayleigh Fading Channels Item Type Article Authors Zafar, Ammar; Alnuweiri, Hussein; Shaqfeh, Mohammad; Alouini, Mohamed-Slim Eprint version
More informationGeneration of Multiple Weights in the Opportunistic Beamforming Systems
Wireless Sensor Networ, 2009, 3, 89-95 doi:0.4236/wsn.2009.3025 Published Online October 2009 (http://www.scirp.org/journal/wsn/). Generation of Multiple Weights in the Opportunistic Beamforming Systems
More information