Diversity and Degrees of Freedom in Wireless Communications
|
|
- Mary Rogers
- 8 years ago
- Views:
Transcription
1 1 Diversity and Degrees of Freedom in Wireless Communications Mahesh Godavarti Altra Broadband Inc., Alfred O. Hero-III Dept. of EECS, University of Michigan hero Outline 1. MIMO systems and motivating examples 2. Link degrees-of-freedom (DOF) vs. diversity (DIV) 3. Error exponent analysis
2 2 Acknowledgments This work was supported in part by a Graduate Fellowship to the first author from the Department of Electrical Engineering and Computer Science at the University of Michigan and by the Department of Defense Research & Engineering (DDR&E) Multidisciplinary University Research Initiative (MURI) on Low Energy Electronics Design for Mobile Platforms managed by the Army Research Office (ARO) under ARO grant DAAH
3 3 Rank One Specular Component Pre-Processing 1 Post-Processing 1 Pre-Processing 2 Post-Processing 2 Information to be Transmitted Received Information Pre-Processing M Post-Processing N Independent Paths (Possibly over time) M-Transmit Antennas N-Receive Antennas Figure 1: Diagram of a multiple antenna communication system
4 4 Source T x M matrix a(t) A/D demux Space Time Encoder S(t) RF Mod RF Mod Transmitter RF Demod RF Demod Codeword Estimator ^ S(t) Space Time Decoder D/A mux ^a(t) RF Demod Receiver T x N matrix Figure 2: Space-time transmitter/receiver.
5 5 Diversity and Degrees-of-Freedom Folk definitions: Degrees-of-Freedom (DOF): Aka multiplexing gain, transmit diversity DOF is number of independent channels exploited by the transmitter Diversity(DIV): Aka processing gain, receive diversity DIV is number of independent channels exploited by receiver
6 x l Ô ρhs l w l C T log ρµ large ρµ logp e T log ρµ large ρµ 6 Example: SISO system Received signal l 1 T Channel capacity for energy-constrained signaling and informed receiver (IR) is: µ DOF advantage is T Probability of decoding error for BPSK with ML decoding: µ DIV advantage is T
7 x l Ô ρhs w l C T log ρµ large ρµ logp e NT log ρµ large ρµ 7 Example: SIMO system Received signal l 1 T Channel capacity for energy-constrained signaling and informed receiver (IR) is: µ DOF advantage is NT Probability of decoding error for BPSK with ML decoding: µ DIV advantage is NT
8 8 Towards Formal Definition of DOF/DIV 1. Fix a rate-r coder and min-p e decoder: denoted C 2. Define Definition 1 DIV M N T C µ lim ρ logp e ρ;m N T C µ loginf C P e ρ;1 1 1 C µ (1) and DOF M N T C µ lim ρ R ρ;m N T C µ sup C R ρ;1 1 1 C µ (2) Note: These definitions depend on C
9 9 C-independent definitions of DOF/DIV of a channel: Definition 2 DIV M N T C µ lim ρ inf C logp e ρ;m N T C µ inf C logp e ρ;1 1 1 C µ (3) and DOF M N T C µ lim ρ sup C R ρ;m N T C µ sup C R ρ;1 1 1 C µ lim C ρ;m N (4) Tµ C ρ;1 1 1µ ρ Note: for IR Rayleigh fading channels, consistent with Heath and Paulraj s DOF (2001): asymptotic rate of minimum Euclidean distance in ρ Zheng and Tse s DOF (2002): asymptotic rate of C outage in logρ Tarokh et. al. s DIV (1998): asymptotic exponent of min-p e in 1 ρ
10 10 Application: Rayleigh fading MIMO system ρ X SH W M Ö X: T N; S: T M; andh: M N T : time interval over which H remains constant H i.i.d. Gaussian known to receiver (IR) W i.i.d. AWGN Constraint on C: tr E SS TM.
11 C TE logdet I N ρh Hµ TE logdet I M ρhh µ which is attained by S N 0 ci T Æ IM µ DOF M N T µ T min M Nµ DIV M N T C µ N min M T µ DOF: Channel capacity is Hence: 2: DIV: Let transmitter adopt the space-time QPSK signal adopted by Tarokh etal (1999) and consider MAP receiver Find:
12 P e ρ M N Tµ exp LE U P Sµ ρµµ E 0 γ P G Sµ ρµ Ð ßÞ 12 DOF-DIV via error exponent approach Gallager s Random Coding Error Exponents Establishes bound on probability of error P e for any communication system having information rate R and transmitted P Sµ distribution Error exponent: E U P Sµ ρµ 1 γ max γ¾ 0 1 max P¾P γr ln X¾X S¾S p X Sµµ1 1 γµ dp Sµ dx R o ρ M N Tµ max P¾P ln X¾X S¾S p X Sµµ1 2 dp Sµ 2 dx Special case γ 1 involves cutoff rate R o : P e exp R o Rµ
13 13 DIV and Cutoff Rate R o Hµ max P S H ln S 1 S 2 ¾Cl T MdP S H S 1µdP S H S 2 µ e ND S 1 S 2 µ 1. T/R Informed cutoff rate: H known to both T/R D S 1 S ρ 2 µ H 4 tr S 1 S S 2 µ 1 S 2 DIV Nmin T Mµ µ µh 2. R informed cutoff rate: H known to R only D S 1 S 2 ln I ρ µ T 4 S 1 S 2 µ S 1 S 2 µ DIV Nmin T Mµ µ 3. Uninformed cutoff rate: H unknown to either T/R D S 1 S 2 µ ln I ρ T 2 S 1S 1 S 2S 2 µ I T ρs 1 S 1 I T ρs 2 S Ö 2 µ DIV N min T 2Mµ min T Mµµ
14 logp e ρ M N Tµ ßÞ Ð 14 Error Exponent: DOF-DIV Tradeoff Analysis For IR and Gaussian P Sµ satisfying E tr S S MT Hence: E 0 γ P G Sµ ρµ loge det I 1 M 1 γ ρ HH γt M DIV M N T µ E 0 γ P Sµ ρµ Tµ γr ρ;m N DOF M N T Ð µ ßÞ where Tµ R ρ M N E 0 γ P Sµ ρµ γ
15 15 5 M = 3, N = 1, T = DOF DIV Figure 3: DOF(C γ )asafunctionofdiv(c γ ). The y-intercept is T min M Nµ and the x-intercept is N min M T µ
16 16 Conclusions DOF and DIV are convenient encapsulations of link performance General system-dependent and -independent definitions for DOF and DIV given Our definitions specialize to previous definitions for Rayleigh channels Random coding exponents can be used to study design tradeoffs between DOF and DIV
MIMO: What shall we do with all these degrees of freedom?
MIMO: What shall we do with all these degrees of freedom? Helmut Bölcskei Communication Technology Laboratory, ETH Zurich June 4, 2003 c H. Bölcskei, Communication Theory Group 1 Attributes of Future Broadband
More informationCapacity Limits of MIMO Channels
Tutorial and 4G Systems Capacity Limits of MIMO Channels Markku Juntti Contents 1. Introduction. Review of information theory 3. Fixed MIMO channels 4. Fading MIMO channels 5. Summary and Conclusions References
More information8 MIMO II: capacity and multiplexing
CHAPTER 8 MIMO II: capacity and multiplexing architectures In this chapter, we will look at the capacity of MIMO fading channels and discuss transceiver architectures that extract the promised multiplexing
More informationMIMO CHANNEL CAPACITY
MIMO CHANNEL CAPACITY Ochi Laboratory Nguyen Dang Khoa (D1) 1 Contents Introduction Review of information theory Fixed MIMO channel Fading MIMO channel Summary and Conclusions 2 1. Introduction The use
More informationThe Degrees of Freedom of Compute-and-Forward
The Degrees of Freedom of Compute-and-Forward Urs Niesen Jointly with Phil Whiting Bell Labs, Alcatel-Lucent Problem Setting m 1 Encoder m 2 Encoder K transmitters, messages m 1,...,m K, power constraint
More informationDegrees of Freedom in Wireless Networks
Degrees of Freedom in Wireless Networks Zhiyu Cheng Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago, IL 60607, USA Email: zcheng3@uic.edu Abstract This paper
More informationOn the Degrees of Freedom of time correlated MISO broadcast channel with delayed CSIT
On the Degrees of Freedom of time correlated MISO broadcast channel with delayed CSI Mari Kobayashi, Sheng Yang SUPELEC Gif-sur-Yvette, France {mari.kobayashi, sheng.yang}@supelec.fr David Gesbert, Xinping
More informationComparison of Network Coding and Non-Network Coding Schemes for Multi-hop Wireless Networks
Comparison of Network Coding and Non-Network Coding Schemes for Multi-hop Wireless Networks Jia-Qi Jin, Tracey Ho California Institute of Technology Pasadena, CA Email: {jin,tho}@caltech.edu Harish Viswanathan
More informationADVANCED APPLICATIONS OF ELECTRICAL ENGINEERING
Development of a Software Tool for Performance Evaluation of MIMO OFDM Alamouti using a didactical Approach as a Educational and Research support in Wireless Communications JOSE CORDOVA, REBECA ESTRADA
More informationCooperative Diversity in Wireless Relay Networks with. Multiple-Antenna Nodes
Cooperative Diversity in Wireless Relay Networks with Multiple-Antenna Nodes YINDI JING AND BABAK HASSIBI Department of Electrical Engineering California Institute of Technology asadena, CA 95 Abstract
More informationCoding and decoding with convolutional codes. The Viterbi Algor
Coding and decoding with convolutional codes. The Viterbi Algorithm. 8 Block codes: main ideas Principles st point of view: infinite length block code nd point of view: convolutions Some examples Repetition
More informationDivision algebras for coding in multiple antenna channels and wireless networks
Division algebras for coding in multiple antenna channels and wireless networks Frédérique Oggier frederique@systems.caltech.edu California Institute of Technology Cornell University, School of Electrical
More informationDigital Modulation. David Tipper. Department of Information Science and Telecommunications University of Pittsburgh. Typical Communication System
Digital Modulation David Tipper Associate Professor Department of Information Science and Telecommunications University of Pittsburgh http://www.tele.pitt.edu/tipper.html Typical Communication System Source
More informationTHE problems of characterizing the fundamental limits
Beamforming and Aligned Interference Neutralization Achieve the Degrees of Freedom Region of the 2 2 2 MIMO Interference Network (Invited Paper) Chinmay S. Vaze and Mahesh K. Varanasi Abstract We study
More informationMIMO detector algorithms and their implementations for LTE/LTE-A
GIGA seminar 11.01.2010 MIMO detector algorithms and their implementations for LTE/LTE-A Markus Myllylä and Johanna Ketonen 11.01.2010 2 Outline Introduction System model Detection in a MIMO-OFDM system
More informationDiversity and Multiplexing: A Fundamental Tradeoff in Multiple-Antenna Channels
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 49, NO 5, MAY 2003 1073 Diversity Multiplexing: A Fundamental Tradeoff in Multiple-Antenna Channels Lizhong Zheng, Member, IEEE, David N C Tse, Member, IEEE
More informationCommunication on the Grassmann Manifold: A Geometric Approach to the Noncoherent Multiple-Antenna Channel
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 48, NO. 2, FEBRUARY 2002 359 Communication on the Grassmann Manifold: A Geometric Approach to the Noncoherent Multiple-Antenna Channel Lizhong Zheng, Student
More informationMultiuser Communications in Wireless Networks
Multiuser Communications in Wireless Networks Instructor Antti Tölli Centre for Wireless Communications (CWC), University of Oulu Contact e-mail: antti.tolli@ee.oulu.fi, tel. +358445000180 Course period
More informationComparison of Distributed and Co-located Antenna Diversity Schemes for the Coverage Improvement of VoWLAN Systems
Comparison of Distributed and Co-located Antenna Diversity Schemes for the Coverage Improvement of VoWLAN Systems Azadeh Ettefagh 1, Marc Kuhn 1, Barry Cheetham 2, Armin Wittneben 1 1 Swiss Federal Institute
More informationIEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 1, JANUARY 2007 341
IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 1, JANUARY 2007 341 Multinode Cooperative Communications in Wireless Networks Ahmed K. Sadek, Student Member, IEEE, Weifeng Su, Member, IEEE, and K.
More informationEnergy Efficiency of Cooperative Jamming Strategies in Secure Wireless Networks
Energy Efficiency of Cooperative Jamming Strategies in Secure Wireless Networks Mostafa Dehghan, Dennis L. Goeckel, Majid Ghaderi, and Zhiguo Ding Department of Electrical and Computer Engineering, University
More informationFull- or Half-Duplex? A Capacity Analysis with Bounded Radio Resources
Full- or Half-Duplex? A Capacity Analysis with Bounded Radio Resources Vaneet Aggarwal AT&T Labs - Research, Florham Park, NJ 7932. vaneet@research.att.com Melissa Duarte, Ashutosh Sabharwal Rice University,
More informationLog-Likelihood Ratio-based Relay Selection Algorithm in Wireless Network
Recent Advances in Electrical Engineering and Electronic Devices Log-Likelihood Ratio-based Relay Selection Algorithm in Wireless Network Ahmed El-Mahdy and Ahmed Walid Faculty of Information Engineering
More information5 Capacity of wireless channels
CHAPTER 5 Capacity of wireless channels In the previous two chapters, we studied specific techniques for communication over wireless channels. In particular, Chapter 3 is centered on the point-to-point
More informationCapacity of the Multiple Access Channel in Energy Harvesting Wireless Networks
Capacity of the Multiple Access Channel in Energy Harvesting Wireless Networks R.A. Raghuvir, Dinesh Rajan and M.D. Srinath Department of Electrical Engineering Southern Methodist University Dallas, TX
More informationCooperative Wireless Networks: From Radio to. Network Protocol Designs
Cooperative Wireless Networks: From Radio to 1 Network Protocol Designs Zhengguo Sheng, Zhiguo Ding, and Kin K Leung *Department of Electrical and Electronic Engineering, Imperial College, UK School of
More informationExample/ an analog signal f ( t) ) is sample by f s = 5000 Hz draw the sampling signal spectrum. Calculate min. sampling frequency.
1 2 3 4 Example/ an analog signal f ( t) = 1+ cos(4000πt ) is sample by f s = 5000 Hz draw the sampling signal spectrum. Calculate min. sampling frequency. Sol/ H(f) -7KHz -5KHz -3KHz -2KHz 0 2KHz 3KHz
More informationPHASE ESTIMATION ALGORITHM FOR FREQUENCY HOPPED BINARY PSK AND DPSK WAVEFORMS WITH SMALL NUMBER OF REFERENCE SYMBOLS
PHASE ESTIMATION ALGORITHM FOR FREQUENCY HOPPED BINARY PSK AND DPSK WAVEFORMS WITH SMALL NUM OF REFERENCE SYMBOLS Benjamin R. Wiederholt The MITRE Corporation Bedford, MA and Mario A. Blanco The MITRE
More informationALOHA Performs Delay-Optimum Power Control
ALOHA Performs Delay-Optimum Power Control Xinchen Zhang and Martin Haenggi Department of Electrical Engineering University of Notre Dame Notre Dame, IN 46556, USA {xzhang7,mhaenggi}@nd.edu Abstract As
More informationThe Cooperative DPC Rate Region And Network Power Allocation
Power and Bandwidth Allocation in Cooperative Dirty Paper Coding Chris T. K. Ng, Nihar Jindal, Andrea J. Goldsmith and Urbashi Mitra Dept. of Electrical Engineering, Stanford University, Stanford, CA 94305
More informationRethinking MIMO for Wireless Networks: Linear Throughput Increases with Multiple Receive Antennas
Rethinking MIMO for Wireless Networks: Linear Throughput Increases with Multiple Receive Antennas Nihar Jindal ECE Department University of Minnesota nihar@umn.edu Jeffrey G. Andrews ECE Department University
More informationInterference Alignment and the Degrees of Freedom of Wireless X Networks
Interference Alignment and the Degrees of Freedom of Wireless X Networs Vivec R. Cadambe, Syed A. Jafar Center for Pervasive Communications and Computing Electrical Engineering and Computer Science University
More informationCoding Theorems for Turbo-Like Codes Abstract. 1. Introduction.
Coding Theorems for Turbo-Like Codes Dariush Divsalar, Hui Jin, and Robert J. McEliece Jet Propulsion Laboratory and California Institute of Technology Pasadena, California USA E-mail: dariush@shannon.jpl.nasa.gov,
More informationGTER 26 tudo o que você. quer saber sobre 802.11n
GTER 26 tudo o que você (não) quer saber sobre 802.11n Luiz Eduardo Dos Santos CISSP CWNE CEH GISP GCIH Sr. Systems & Security Engineer Americas hello agenda evolution of wi-fi what makes 11n what actually
More informationI. Wireless Channel Modeling
I. Wireless Channel Modeling April 29, 2008 Qinghai Yang School of Telecom. Engineering qhyang@xidian.edu.cn Qinghai Yang Wireless Communication Series 1 Contents Free space signal propagation Pass-Loss
More informationVirtual MIMO Channels in Cooperative Multi-hop Wireless Sensor Networks
Virtual MIMO Channels in Cooperative Multi-hop Wireless Sensor Networks Aitor del Coso, Stefano Savazzi, Umberto Spagnolini and Christian Ibars Centre Tecnològic de Telecomunicacions de Catalunya CTTC)
More informationVector Bin-and-Cancel for MIMO Distributed Full-Duplex
Vector Bin-and-Cancel for MIMO Distributed Full-Duplex Jingwen Bai, Chris Dick and Ashutosh Sabharwal, Fellow, IEEE 1 arxiv:1402.0614v3 [cs.it] 16 Jan 2015 Abstract In a multi-input multi-output (MIMO)
More informationINTER CARRIER INTERFERENCE CANCELLATION IN HIGH SPEED OFDM SYSTEM Y. Naveena *1, K. Upendra Chowdary 2
ISSN 2277-2685 IJESR/June 2014/ Vol-4/Issue-6/333-337 Y. Naveena et al./ International Journal of Engineering & Science Research INTER CARRIER INTERFERENCE CANCELLATION IN HIGH SPEED OFDM SYSTEM Y. Naveena
More information( ) = ( ) = {,,, } β ( ), < 1 ( ) + ( ) = ( ) + ( )
{ } ( ) = ( ) = {,,, } ( ) β ( ), < 1 ( ) + ( ) = ( ) + ( ) max, ( ) [ ( )] + ( ) [ ( )], [ ( )] [ ( )] = =, ( ) = ( ) = 0 ( ) = ( ) ( ) ( ) =, ( ), ( ) =, ( ), ( ). ln ( ) = ln ( ). + 1 ( ) = ( ) Ω[ (
More informationMobile Wireless Access via MIMO Relays
Mobile Wireless Access via MIMO Relays Tae Hyun Kim and Nitin H. Vaidya Dept. of Electrical and Computer Eng. Coordinated Science Laborartory University of Illinois at Urbana-Champaign, IL 680 Emails:
More informationHalf-Duplex or Full-Duplex Relaying: A Capacity Analysis under Self-Interference
Half-Duplex or Full-Duplex elaying: A Capacity Analysis under Self-Interference Nirmal Shende Department of ECE, Polytechnic Institute of NYU Brooklyn, NY 0 Email: nvs5@students.poly.edu Ozgur Gurbuz Faculty
More informationOn the Mobile Wireless Access via MIMO Relays
On the Mobile Wireless Access via MIMO Relays Tae Hyun Kim and Nitin H. Vaidya Dept. of Electrical and Computer Eng. Coordinated Science Laborartory University of Illinois at Urbana-Champaign, IL 6181
More informationPhysical Layer Security in Wireless Communications
Physical Layer Security in Wireless Communications Dr. Zheng Chang Department of Mathematical Information Technology zheng.chang@jyu.fi Outline Fundamentals of Physical Layer Security (PLS) Coding for
More informationMain Ways to Enhance Throughput
802.11n Sanna Puha Contents 1. Introduction 2. Ways to Enhance Throughput 3. MIMO operation 4. Structure of Operating Channel 5. MIMO Transmission Modes 6. Modulation Rates 7. Physical Transmission, PLCP:
More informationLezione 6 Communications Blockset
Corso di Tecniche CAD per le Telecomunicazioni A.A. 2007-2008 Lezione 6 Communications Blockset Ing. Marco GALEAZZI 1 What Is Communications Blockset? Communications Blockset extends Simulink with a comprehensive
More informationSingle-symbol and Double-symbol Decodable STBCs for MIMO Fading Channels
Single-symbol and Double-symbol Decodable STBCs for MIMO Fading Channels A Thesis Submitted For the Degree of Doctor of Philosophy in the Faculty of Engineering by Md. Zafar Ali Khan Department of Electrical
More informationTowards a Tight Finite Key Analysis for BB84
The Uncertainty Relation for Smooth Entropies joint work with Charles Ci Wen Lim, Nicolas Gisin and Renato Renner Institute for Theoretical Physics, ETH Zurich Group of Applied Physics, University of Geneva
More informationHot Issues in Wireless Broadband Networking
Hot Issues in Wireless Broadband Networking Raj Jain Washington University in Saint Louis Saint Louis, MO 63131 Jain@wustl.edu These slides are available on-line at: http://www.cse.wustl.edu/~jain/talks/oe06.htm
More informationPrinciples of MIMO-OFDM Wireless Systems
Principles of MIMO-OFDM Wireless Systems Helmut Bölcskei Communication Technology Laboratory Swiss Federal Institute of Technology (ETH) Sternwartstrasse 7, CH-8092 Zürich Phone: +41-1-6323433, Fax: +41-1-6321209,
More informationIII. DIVERSITY-MULTIPLEXING TRADEOFF Theorem 3.1: The maximum achievable DMT for network described in Sec II is given by,
iversity Gain d(r) 4 35 3 5 5 05 x MIMO MT bound Proximity gain 4 Proximity gain Proximity gain 8 Proximity gain 0 0 05 5 Multiplexing Gain (r) Fig d(r) or various values o proximity gain η III IVERITY-MULTIPLEXING
More informationOn the Traffic Capacity of Cellular Data Networks. 1 Introduction. T. Bonald 1,2, A. Proutière 1,2
On the Traffic Capacity of Cellular Data Networks T. Bonald 1,2, A. Proutière 1,2 1 France Telecom Division R&D, 38-40 rue du Général Leclerc, 92794 Issy-les-Moulineaux, France {thomas.bonald, alexandre.proutiere}@francetelecom.com
More informationChapter 1 Introduction
Chapter 1 Introduction 1. Shannon s Information Theory 2. Source Coding theorem 3. Channel Coding Theory 4. Information Capacity Theorem 5. Introduction to Error Control Coding Appendix A : Historical
More informationCooperative Communications in. Mobile Ad-Hoc Networks: Rethinking
Chapter 1 Cooperative Communications in Mobile Ad-Hoc Networks: Rethinking the Link Abstraction Anna Scaglione, Dennis L. Goeckel and J. Nicholas Laneman Cornell University, University of Massachusetts
More informationPosition Based Relaying With Hybrid-ARQ 611
EURASIP Journal on Wireless Communications and Networking 05:5, 610 624 c 05 B. Zhao and M. C. Valenti Position-Based Relaying with Hybrid-ARQ for Efficient Ad Hoc Networking Bin Zhao Lane Department of
More informationDelayed Channel State Information: Incremental Redundancy with Backtrack Retransmission
Delayed Channel State Information: Incremental Redundancy with Backtrack Retransmission Petar Popovski Department of Electronic Systems, Aalborg University Email: petarp@es.aau.dk Abstract In many practical
More informationCapacity Limits of MIMO Systems
1 Capacity Limits of MIMO Systems Andrea Goldsmith, Syed Ali Jafar, Nihar Jindal, and Sriram Vishwanath 2 I. INTRODUCTION In this chapter we consider the Shannon capacity limits of single-user and multi-user
More informationA Practical Scheme for Wireless Network Operation
A Practical Scheme for Wireless Network Operation Radhika Gowaikar, Amir F. Dana, Babak Hassibi, Michelle Effros June 21, 2004 Abstract In many problems in wireline networks, it is known that achieving
More informationSecret Key Generation from Reciprocal Spatially Correlated MIMO Channels,
203 IEEE. Reprinted, with permission, from Johannes Richter, Elke Franz, Sabrina Gerbracht, Stefan Pfennig, and Eduard A. Jorswieck, Secret Key Generation from Reciprocal Spatially Correlated MIMO Channels,
More informationTowards the Next Generation Video Broadcasting
Towards the Next Generation Video Broadcasting Ming Liu, Jean-François Hélard, Maryline Hélard, Matthieu Crussière To cite this version: Ming Liu, Jean-François Hélard, Maryline Hélard, Matthieu Crussière.
More informationPilot-to-data power ratio for maximizing the capacity of MIMO-OFDM
1 Pilot-to-data power ratio for maximizing the capacity of MIMO-OFDM Taeyoon Kim, Student Member, IEEE, and Jeffrey G. Andrews, Member, IEEE, Submitted to IEEE Trans. on Communications Abstract Orthogonal
More informationWireless Networks with Symmetric Demands
Wireless Networks with Symmetric Demands Sudeep Kamath EECS Dept., UC Berkeley Berkeley, CA 94720 Email: sudeep@eecs.berkeley.edu Sreeram Kannan CSL and Dept. of ECE UIUC, IL 680 Email: kannan@illinois.edu
More informationMultivariate Normal Distribution
Multivariate Normal Distribution Lecture 4 July 21, 2011 Advanced Multivariate Statistical Methods ICPSR Summer Session #2 Lecture #4-7/21/2011 Slide 1 of 41 Last Time Matrices and vectors Eigenvalues
More informationUn point de vue bayésien pour des algorithmes de bandit plus performants
Un point de vue bayésien pour des algorithmes de bandit plus performants Emilie Kaufmann, Telecom ParisTech Rencontre des Jeunes Statisticiens, Aussois, 28 août 2013 Emilie Kaufmann (Telecom ParisTech)
More informationFundamentals of Wireless Communication. David Tse Dept of EECS U.C. Berkeley
Fundamentals of Wireless Communication David Tse Dept of EECS U.C. Berkeley Course Objective Past decade has seen a surge of research activities in the field of wireless communication. Emerging from this
More informationCooperative Multiple Access for Wireless Networks: Protocols Design and Stability Analysis
Cooperative Multiple Access for Wireless Networks: Protocols Design and Stability Analysis Ahmed K. Sadek, K. J. Ray Liu, and Anthony Ephremides Department of Electrical and Computer Engineering, and Institute
More informationPERFORMANCE ANALYSIS OF CLIPPED STBC CODED MIMO OFDM SYSTEM
International Journal of Electronics and Communication Engineering & Technology (IJECET) Volume 7, Issue 1, Jan-Feb 2016, pp. 28-44, Article ID: IJECET_07_01_004 Available online at http://www.iaeme.com/ijecet/issues.asp?jtype=ijecet&vtype=7&itype=1
More informationCODED COOPERATION: A NEW FRAMEWORK FOR USER COOPERATION IN WIRELESS NETWORKS
CODED COOPERATION: A NEW FRAMEWORK FOR USER COOPERATION IN WIRELESS NETWORKS APPROVED BY SUPERVISORY COMMITTEE: Dr. Aria Nosratinia, Chair Dr. Naofal Al-Dhahir Dr. John Fonseka Dr. Hlaing Minn Copyright
More informationEvolution of the Air Interface From 2G Through 4G and Beyond
Evolution of the Air Interface From 2G Through 4G and Beyond Presentation to IEEE Ottawa Section / Alliance of IEEE Consultants Network (AICN) - 2nd May 2012 Frank Rayal BLiNQ Networks/ Telesystem Innovations
More informationDesign Criteria of Two-Hop Based Wireless Networks with Non-Regenerative Relays in Arbitrary Fading Channels
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 57, NO. 5, MAY 29 1463 Design Criteria of Two-Hop Based Wireless Networks with Non-Regenerative Relays in Arbitrary Fading Channels Stefano Savazzi, Student Member,
More informationThe Advantages of SOFDMA for WiMAX
The Advantages of SOFDMA for WiMAX Vladimir Bykovnikov Intel Corporation Abstract SOFDMA has several advantages when used in NLOS wireless networks. The paper outlines these advantages and shows the evolutionary
More informationErgodic Capacity of Continuous-Time, Frequency-Selective Rayleigh Fading Channels with Correlated Scattering
Ergodic Capacity of Continuous-Time, Frequency-Selective Rayleigh Fading Channels with Correlated Scattering IEEE Information Theory Winter School 2009, Loen, Norway Christian Scheunert, Martin Mittelbach,
More informationTesting WiMAX receiver performance in a multipath propagation environment using Agilent s E6651A with an EB Propsim C8 radio channel emulator
Testing WiMAX receiver performance in a multipath propagation environment using Agilent s E6651A with an EB Propsim C8 radio channel emulator Application Note 1 Summary Introduction As a part of the certification
More informationMultiuser Wireless Communication Systems
Multiuser Wireless Communication Systems Ashutosh Sabharwal and Behnaam Aazhang Department of Electrical and Computer Engineering Rice University Houston TX 77005 Abstract Wireless cellular systems have
More informationEFFECTIVE CHANNEL STATE INFORMATION (CSI) FEEDBACK FOR MIMO SYSTEMS IN WIRELESS BROADBAND COMMUNICATIONS
EFFECTIVE CHANNEL STATE INFORMATION (CSI) FEEDBACK FOR MIMO SYSTEMS IN WIRELESS BROADBAND COMMUNICATIONS Maneesha Sharma Bachelor of Engineering Principal Supervisor: Dr. Karla Ziri-Castro Associate Supervisor:
More informationFOOTPRINT MODELING AND CONNECTIVITY ANALYSIS FOR WIRELESS SENSOR NETWORKS. A Thesis Presented. Changfei Chen. The University of Vermont.
FOOTPRINT MODELING AND CONNECTIVITY ANALYSIS FOR WIRELESS SENSOR NETWORKS A Thesis Presented by Changfei Chen to The Faculty of the Graduate College of The University of Vermont In Partial Fulfillment
More informationBER Performance Analysis of SSB-QPSK over AWGN and Rayleigh Channel
Performance Analysis of SSB-QPSK over AWGN and Rayleigh Channel Rahul Taware ME Student EXTC Department, DJSCOE Vile-Parle (W) Mumbai 056 T. D Biradar Associate Professor EXTC Department, DJSCOE Vile-Parle
More informationMIMO Antenna Systems in WinProp
MIMO Antenna Systems in WinProp AWE Communications GmbH Otto-Lilienthal-Str. 36 D-71034 Böblingen mail@awe-communications.com Issue Date Changes V1.0 Nov. 2010 First version of document V2.0 Feb. 2011
More informationAlternative proof for claim in [1]
Alternative proof for claim in [1] Ritesh Kolte and Ayfer Özgür Aydin The problem addressed in [1] is described in Section 1 and the solution is given in Section. In the proof in [1], it seems that obtaining
More informationLECTURE 4. Last time: Lecture outline
LECTURE 4 Last time: Types of convergence Weak Law of Large Numbers Strong Law of Large Numbers Asymptotic Equipartition Property Lecture outline Stochastic processes Markov chains Entropy rate Random
More informationSource Transmission over Relay Channel with Correlated Relay Side Information
Source Transmission over Relay Channel with Correlated Relay Side Information Deniz Gündüz, Chris T. K. Ng, Elza Erkip and Andrea J. Goldsmith Dept. of Electrical and Computer Engineering, Polytechnic
More informationCooperative Communication for Spatial Frequency Reuse Multihop Wireless Networks under Slow Rayleigh Fading
his full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE ICC 211 proceedings Cooperative Communication for Spatial Frequency
More informationWIRELESS communication channels have the characteristic
512 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 54, NO. 3, MARCH 2009 Energy-Efficient Decentralized Cooperative Routing in Wireless Networks Ritesh Madan, Member, IEEE, Neelesh B. Mehta, Senior Member,
More informationWireless Broadband with 802.16/WiMax: Current Performance and Future Potential
Wireless Broadband with 802.16/WiMax: Current Performance and Future Potential Dr. Jeffrey G. Andrews Wireless Networking and Comm. Group (WNCG) Dept. of Electrical and Comp. Engr. The Univ. of Texas at
More informationEffects of natural propagation environments on wireless sensor network coverage area
Effects of natural propagation environments on wireless sensor network coverage area Ms. Abiola Fanimokun Department of Electrical and Computer Engineering, Tennessee Tech University Cookeville, TN 38505,
More information1 Lecture Notes 1 Interference Limited System, Cellular. Systems Introduction, Power and Path Loss
ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2015 1 Lecture Notes 1 Interference Limited System, Cellular Systems Introduction, Power and Path Loss Reading: Mol 1, 2, 3.3, Patwari
More informationProject Report on Adaptive Resource Allocation Algorithm for Multiuser Mimo-Ofdm Systems:
EE-575 INFORMATION THEORY - SEM 092 Project Report on Adaptive Resource Allocation Algorithm for Multiuser Mimo-Ofdm Systems: Prepared By: Mohammed Akber Ali Student ID # G200806120. Page 1 Context Abstract
More informationPACKET timing channels can sometimes be used to
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 48, NO. 9, SEPTEMBER, 2002 An Information-theoretic and Game-theoretic Study of Timing Channels James Giles and Bruce Hajek Abstract This paper focuses on
More informationIntroduction to Detection Theory
Introduction to Detection Theory Reading: Ch. 3 in Kay-II. Notes by Prof. Don Johnson on detection theory, see http://www.ece.rice.edu/~dhj/courses/elec531/notes5.pdf. Ch. 10 in Wasserman. EE 527, Detection
More informationIEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 54, NO. 8, AUGUST 2008 3425. 1 If the capacity can be expressed as C(SNR) =d log(snr)+o(log(snr))
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 54, NO 8, AUGUST 2008 3425 Interference Alignment and Degrees of Freedom of the K-User Interference Channel Viveck R Cadambe, Student Member, IEEE, and Syed
More informationPersonal Broadband Networks, PBN (CE74024-3)
Faculty of Computing, Engineering & Technology Introduction to Radio Systems Personal Broadband Networks, PBN (CE74024-3) Alison L Griffiths C203 A.L.Griffiths@staffs.ac.uk www.soc.staffs.ac.uk/alg1 2004
More informationPerformance Analysis over Slow Fading. Channels of a Half-Duplex Single-Relay. Protocol: Decode or Quantize and Forward
Performance Analysis over Slow Fading 1 Channels of a Half-Duplex Single-Relay Protocol: Decode or Quantize and Forward Nassar Ksairi 1), Philippe Ciblat 2), Pascal Bianchi 2), Walid Hachem 2) Abstract
More informationPerformance Evaluation of MIMO Base Station. Antenna Designs
Performance Evaluation of MIMO Base Station 1 Antenna Designs Ramya Bhagavatula, Robert W. Heath Jr., and Kevin Linehan Department of Electrical and Computer Engineering The University of Texas at Austin
More informationHigh Bit Rates for 3G and Beyond using MIMO channels
High Bit Rates for 3G and Beyond using MIMO channels Ari Hottinen, Jussi Vesma, Olav Tirkkonen, and Nikolai Nefedov Nokia Research Center P.O.Box 407, FIN-00045 Nokia Group Finland Abstract This paper
More informationDegrees of Freedom for MIMO Two-Way X Relay Channel
1 Degrees of Freedom for MIMO Two-Way X Relay Channel Zhengzheng Xiang, Meixia Tao, Senior Member, IEEE, Jianhua Mo, and Xiaodong Wang, Fellow, IEEE Abstract We study the degrees of freedom (DOF) of a
More informationTRANSMIT BEAMSPACE DESIGN FOR DIRECTION FINDING IN COLOCATED MIMO RADAR WITH ARBITRARY RECEIVE ARRAY AND EVEN NUMBER OF WAVEFORMS
TRANSMIT BEAMSPACE DESIGN FOR DIRECTION FINDING IN COLOCATED MIMO RADAR WITH ARBITRARY RECEIVE ARRAY AND EVEN NUMBER OF WAVEFORMS Arash Khabbazibasmenj, Sergiy A. Vorobyov, Aboulnasr Hassanien, and Matthew
More informationTeaching Convolutional Coding using MATLAB in Communication Systems Course. Abstract
Section T3C2 Teaching Convolutional Coding using MATLAB in Communication Systems Course Davoud Arasteh Department of Electronic Engineering Technology, LA 70813, USA Abstract Convolutional codes are channel
More informationHigh-Rate Codes That Are Linear in Space and Time
1804 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 48, NO 7, JULY 2002 High-Rate Codes That Are Linear in Space and Time Babak Hassibi and Bertrand M Hochwald Abstract Multiple-antenna systems that operate
More informationEE4367 Telecom. Switching & Transmission. Prof. Murat Torlak
Path Loss Radio Wave Propagation The wireless radio channel puts fundamental limitations to the performance of wireless communications systems Radio channels are extremely random, and are not easily analyzed
More informationJoint Optimal Pilot Placement and Space Frequency (SF) Code Design for MIMO-OFDM Systems
Joint Optimal Pilot Placement and Space Frequency (SF) Code Design for MIMO- Systems Saurav K. Bandyopadhyay W&W Communications Inc. 640 W. California Avenue Sunnyvale, CA 94086 USA Srinivas Prasad D.
More information3.2 LOGARITHMIC FUNCTIONS AND THEIR GRAPHS. Copyright Cengage Learning. All rights reserved.
3.2 LOGARITHMIC FUNCTIONS AND THEIR GRAPHS Copyright Cengage Learning. All rights reserved. What You Should Learn Recognize and evaluate logarithmic functions with base a. Graph logarithmic functions.
More information