Chapter 10. User Cooperative Communications

Size: px
Start display at page:

Download "Chapter 10. User Cooperative Communications"

Transcription

1 Chapter 10 User Cooperative Communications 1

2 Outline Introduction Relay Channels User-Cooperation in Wireless Networks Multi-Hop Relay Channel Summary 2

3 Introduction User cooperative communication is a form of communication in which users work together to deliver their data. By relaying each others data, multiple independent copies of the data are received at the destination. Processing of multiple independent copies of the signal reduces the probability of error. Diversity acquired improves channel reliability and saves resources. 3

4 Introduction Diversity in Communication is an effective way to tackle fading and improve reliability. Diversity is obtained over time and frequency by means of coding and interleaving. It can also be obtained via repeated transmission. Number of ways to obtain spatial diversity Multiple-input multiple-output (MIMO) antenna systems. Cooperative transmission through relaying User cooperative transmission. User cooperative transmission is a special case of cooperative transmission where users act as relays to help each other. 4

5 Introduction Cognitive users opportunistically exploit spectrum holes to improve spectrum utilization. Three types of holes, 1. White holes, primary users inactive. 2. Gray holes, primary users work with low power. 3. Black holes, primary users work with high power. User cooperation in cognitive systems further improves utilization of spectrum. Secondary users cooperate to efficiently use the available holes. Secondary users may cooperate with primary users to create more holes. Multi-hop relaying, by cognitive users, to exploit gray holes. 5

6 The Relay Channel: Introduction The relay channel is the basic building block for cooperative systems. Early applications to tackle the curvature of the earth, path loss and irregular terrains. The use of satellite systems motivated the extensive work on relay channels during 70 s. Relaying helps improving resource utilization: Extend transmission range. Increase the throughput. Improve reliability. 6

7 A General Three-Node Relay Channel: Model 1/2 A three-node relay channel consists of 1. A source node, S. 2. A Destination node, D. 3. A relay node, R. Two approaches to process the received signal at the relay 1. Amplify-and-forward (AF): sends a scaled copy of the received noisy signal. 2. Decode-and-forward (DF): First try to encode the received signal. If successful, re-encode and transmit. 7

8 A General Three-Node Relay Channel: Model 2/2 8

9 A General Three-Node Relay Channel: Coding 1/2 Regular encoding/sliding window decoding. Encoding (the source and the relay nodes) 1. Message w is divided into B blocks w1,w2...wb transmitted in B + 1 time slots. 2. In time slot i, the source sends x(wi ) and the relay sends x(wi 1). 3. A constant sequence is sent by the relay n time slot 1 and by the source in time slot B

10 A General Three-Node Relay Channel: Coding 2/2 Regular encoding/sliding window decoding (continued). Decoding (the relay node) 1. Starts at the end of transmission of time slot 1 (decoding window size= 1). 2. At the end of transmission of time slot i, time slots i is used to decode wi. Decoding (the destination node) 1. Starts at the end of transmission of time slot 2 (decoding window size= 2). 2. At the end of transmission of time slot i, time slots i 1 and time slot i are combined to decode wi 1. Advantages: Simple. Limited delay. Achieves maximum rate. Can be extended to multi-hop relaying. 10

11 A General Three-Node Relay Channel: Achievable Rate 1/4 Capacity of the general relay channel is still unknown. Mutual information is considered for performance measure. A discrete relay channel, denoted (X XR, p(y, yr x, xr),y YR), consists of: Finite sets X and XR for the source and relay inputs. Finite sets Y and YR for the destination and relay outputs. A collection of pmf s p(y, yr x, xr) for each (x, xr, y, yr) 2 X XR Y YR. 11

12 A General Three-Node Relay Channel: Achievable Rate 2/4 Two cases: 1. Non-cooperative relaying: No source-destination link. 2. Cooperative relaying: Fully connected network. Achievable rate for non-cooperative relaying 12

13 A General Three-Node Relay Channel: Achievable Rate 3/4 Cooperative relaying is possible if, 1. The network is fully connected. 2. The receiver is capable of processing multiple signals. Achievable rate for cooperative relaying 13

14 A General Three-Node Relay Channel: Achievable Rate 4/4 Notes on the achievable rate: In both cooperative and non-cooperative relaying, the maximum rate is bounded by the source-relay channel. When the source-relay channel is good, cooperative relaying achieves higher rate. 14

15 Wireless relay channel: Introduction Three features distinguish the wireless systems 1. The wireless broadcast property (WBP), Orthogonal transmission to avoid interference. Network is always fully connected. Exploited by user cooperative networks. 2. Half-duplex constraint on wireless devices, A wireless can either listen or transmit at a given time and a given frequency band. When the source node is transmitting the relay listens only. The source stays idle when relay is transmitting. 3. Channel behavior (fading), Degraded performance due to rapid and unpredictable changes on channel status. Performance improved by exploiting diversity. 15

16 Wireless relay channel: Model and Strategy 1/2 Transmission of the message w takes place in two time instances, First, S broadcast w to R and D for a period (1 t). Then, if successfully received, R retransmits w to D for a period t. 16

17 Wireless relay channel: Model and Strategy 2/2 17

18 Wireless relay channel: Achievable Rate Achievable rate for the wireless relay channel with half-duplex constraint on the relay: 18

19 Wireless relay channel: Maximizing Transmission Rate 1/2 To make relaying efficient, the right time allocation must be used. 19

20 Wireless relay channel: Maximizing Transmission Rate 2/2 20

21 Wireless relay channel: Outage Probability 1/3 21

22 Wireless relay channel: Outage Probability 2/3 22

23 Wireless relay channel: Outage Probability 3/3 Outage probability, and outage capacity, for the wireless relay channell with arbitrary time allocation can only be computed numerically. Optimum operation by choosing to minimizes P. opt can only be found numerically. Sub-optimal operation using tight bounds. 23

24 User-Cooperation in Wireless Networks: Introduction User-cooperative communication is a means to improve performance through spatial diversity. User-cooperative transmission can be useful for users with single antennas and where there are no dedicated relays. With changing topology and non-centralized nature, user-cooperative communication is particularly useful for MANET. Relay channel is the basic building block. Unlike relay channels, in a user-cooperative model each of the cooperating users has data to transmit. 24

25 Two-User Cooperative Network: System Model 1/2 25

26 Two-User Cooperative Network: System Model 2/2 Two users in partnership, User A sends wa to a destination node DA, while user B sends wb to a destination node DB Two relay channels: (A,B,DA) and (B,A,DB). Achievable rate 26

27 Two-User Cooperative Network: System Constraints 27

28 Two-User Cooperative Network: Optimizing Performance 28

29 Cooperative Wireless Network: Introduction Hypothesis: Randomly positioned nodes, arranged into source-destination pairs. Slow changing topology. Fixed peak power constraint on transmitters. Network is partially known to users, Each source knows other nodes within the range to its destination. Rules for cooperation: No more than two users are allowed to cooperate. Partner selected such that both partners get higher mutual information. Cooperation time is allocated similarly for both partners. For a given pair of partners, time allocation is chosen to maximize the minimum rate. 29

30 Cooperative Wireless Network: Useful User Definitions User B is a useful user for user A if user A with user B as a relay can achieve a higher rate than direct transmission. Harmful user: If User B is not a useful user, then it is a harmful user. 30

31 Cooperative Wireless Network: Constructive Partnership Only constructive partnership is allowed. User A and user B form a constructive partnership only if their mutual information increase after cooperation. 31

32 Cooperative Wireless Network: Data Link Layer 32

33 Multi-hop Relay Channel: Introduction Multi-hop relaying is one way to employ multiple relays to serve a single channel. First used in telecommunications, in 1940 s. First application focused on extending transmission range. Recently used to increase throughput and improve reliability. When more than two users are allowed to cooperate, partnership can take different forms (e.g. multi-hop relaying) with different degrees of complexity. Multi-hop relaying is also useful for cognitive users to exploit gray holes. 33

34 Multi-hop Relay Channel: Model 1/2 34

35 Multi-hop Relay Channel: Model 2/2 Example: 5-hop relay channel 35

36 Multi-hop Relay Channel: Achievable Rate 36

37 Multi-hop Relay Channel: Optimal Time Allocation 37

38 Multi-hop Relay Channel: Outage Probability 38

39 Chapter 10 Summary User cooperative communication offers an alternative to obtain some of the advantages of spatial diversity. User-cooperation helps cognitive user get the most from available resources. The philosophy of user cooperation is based on the theory of the relay channel. Both the general and the wireless relay channels are discussed. Model and results for the relay channel are extended to a two-user cooperative setup and eventually applied to a multi-user wireless network. Finally, the three-node model is expanded to a M-hop relay channel. 39

Lecture LTE (4G) -Technologies used in 4G and 5G. Spread Spectrum Communications

Lecture 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 information

Exploiting Interference through Cooperation and Cognition

Exploiting Interference through Cooperation and Cognition Exploiting Interference through Cooperation and Cognition Stanford June 14, 2009 Joint work with A. Goldsmith, R. Dabora, G. Kramer and S. Shamai (Shitz) The Role of Wireless in the Future The Role of

More information

Optimum Power Allocation in Cooperative Networks

Optimum Power Allocation in Cooperative Networks Optimum Power Allocation in Cooperative Networks Jaime Adeane, Miguel R.D. Rodrigues, and Ian J. Wassell Laboratory for Communication Engineering Department of Engineering University of Cambridge 5 JJ

More information

Cooperative Spectrum Sensing and Spectrum Sharing in Cognitive Radio: A Review

Cooperative Spectrum Sensing and Spectrum Sharing in Cognitive Radio: A Review International Journal of Computer Applications in Engineering Sciences [VOL I, ISSUE III, SEPTEMBER 2011] [ISSN: 2231-4946] Cooperative Spectrum Sensing and Spectrum Sharing in Cognitive Radio: A Review

More information

TECHNOLOGY : MATLAB DOMAIN : COMMUNICATION

TECHNOLOGY : MATLAB DOMAIN : COMMUNICATION TECHNOLOGY : MATLAB DOMAIN : COMMUNICATION S.NO CODE PROJECT TITLES APPLICATION YEAR 1. 2. 3. 4. 5. 6. ITCM01 ITCM02 ITCM03 ITCM04 ITCM05 ITCM06 ON THE SUM-RATE OF THE GAUSSIAN MIMO Z CHANNEL AND THE GAUSSIAN

More information

Cooperative versus Full-Duplex Communication in Cellular Networks: A Comparison of the Total Degrees of Freedom. Amr El-Keyi and Halim Yanikomeroglu

Cooperative versus Full-Duplex Communication in Cellular Networks: A Comparison of the Total Degrees of Freedom. Amr El-Keyi and Halim Yanikomeroglu Cooperative versus Full-Duplex Communication in Cellular Networks: A Comparison of the Total Degrees of Freedom Amr El-Keyi and Halim Yanikomeroglu Outline Introduction Full-duplex system Cooperative system

More information

ABSTRACT. Ahmed Salah Ibrahim, Doctor of Philosophy, 2009

ABSTRACT. Ahmed Salah Ibrahim, Doctor of Philosophy, 2009 ABSTRACT Title of Dissertation: RELAY DEPLOYMENT AND SELECTION IN COOPERATIVE WIRELESS NETWORKS Ahmed Salah Ibrahim, Doctor of Philosophy, 2009 Dissertation directed by: Professor K. J. Ray Liu Department

More information

An Introduction to Distributed Channel Coding

An Introduction to Distributed Channel Coding An Introduction to Distributed Channel Coding Alexandre Graell i Amat and Ragnar Thobaben Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden School of Electrical Engineering,

More information

MATLAB COMMUNICATION TITLES

MATLAB COMMUNICATION TITLES MATLAB COMMUNICATION TITLES -2018 ORTHOGONAL FREQUENCY-DIVISION MULTIPLEXING(OFDM) 1 ITCM01 New PTS Schemes For PAPR Reduction Of OFDM Signals Without Side Information 2 ITCM02 Design Space-Time Trellis

More information

MATLAB Simulation for Fixed Gain Amplify and Forward MIMO Relaying System using OSTBC under Flat Fading Rayleigh Channel

MATLAB Simulation for Fixed Gain Amplify and Forward MIMO Relaying System using OSTBC under Flat Fading Rayleigh Channel MATLAB Simulation for Fixed Gain Amplify and Forward MIMO Relaying System using OSTBC under Flat Fading Rayleigh Channel Anas A. Abu Tabaneh 1, Abdulmonem H.Shaheen, Luai Z.Qasrawe 3, Mohammad H.Zghair

More information

Degrees of Freedom of Multi-hop MIMO Broadcast Networks with Delayed CSIT

Degrees of Freedom of Multi-hop MIMO Broadcast Networks with Delayed CSIT Degrees of Freedom of Multi-hop MIMO Broadcast Networs with Delayed CSIT Zhao Wang, Ming Xiao, Chao Wang, and Miael Soglund arxiv:0.56v [cs.it] Oct 0 Abstract We study the sum degrees of freedom (DoF)

More information

Dynamic Resource Allocation for Multi Source-Destination Relay Networks

Dynamic Resource Allocation for Multi Source-Destination Relay Networks Dynamic Resource Allocation for Multi Source-Destination Relay Networks Onur Sahin, Elza Erkip Electrical and Computer Engineering, Polytechnic University, Brooklyn, New York, USA Email: osahin0@utopia.poly.edu,

More information

Information Theory at the Extremes

Information Theory at the Extremes Information Theory at the Extremes David Tse Department of EECS, U.C. Berkeley September 5, 2002 Wireless Networks Workshop at Cornell Information Theory in Wireless Wireless communication is an old subject.

More information

Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective

Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective Naroa Zurutuza - EE360 Winter 2014 Introduction Cognitive Radio: Wireless communication system that intelligently

More information

A survey on broadcast protocols in multihop cognitive radio ad hoc network

A survey on broadcast protocols in multihop cognitive radio ad hoc network A survey on broadcast protocols in multihop cognitive radio ad hoc network Sureshkumar A, Rajeswari M Abstract In the traditional ad hoc network, common channel is present to broadcast control channels

More information

Achievable Transmission Capacity of Cognitive Radio Networks with Cooperative Relaying

Achievable Transmission Capacity of Cognitive Radio Networks with Cooperative Relaying Achievable Transmission Capacity of Cognitive Radio Networks with Cooperative Relaying Xiuying Chen, Tao Jing, Yan Huo, Wei Li 2, Xiuzhen Cheng 2, Tao Chen 3 School of Electronics and Information Engineering,

More information

SPECTRUM SHARING IN CRN USING ARP PROTOCOL- ANALYSIS OF HIGH DATA RATE

SPECTRUM SHARING IN CRN USING ARP PROTOCOL- ANALYSIS OF HIGH DATA RATE Int. J. Chem. Sci.: 14(S3), 2016, 794-800 ISSN 0972-768X www.sadgurupublications.com SPECTRUM SHARING IN CRN USING ARP PROTOCOL- ANALYSIS OF HIGH DATA RATE ADITYA SAI *, ARSHEYA AFRAN and PRIYANKA Information

More information

Joint Relaying and Network Coding in Wireless Networks

Joint Relaying and Network Coding in Wireless Networks Joint Relaying and Network Coding in Wireless Networks Sachin Katti Ivana Marić Andrea Goldsmith Dina Katabi Muriel Médard MIT Stanford Stanford MIT MIT Abstract Relaying is a fundamental building block

More information

Location Aware Wireless Networks

Location Aware Wireless Networks Location Aware Wireless Networks Behnaam Aazhang CMC Rice University Houston, TX USA and CWC University of Oulu Oulu, Finland Wireless A growing market 2 Wireless A growing market Still! 3 Wireless A growing

More information

Scaling Laws for Cognitive Radio Network with Heterogeneous Mobile Secondary Users

Scaling 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 information

Cooperation in Random Access Wireless Networks

Cooperation in Random Access Wireless Networks Cooperation in Random Access Wireless Networks Presented by: Frank Prihoda Advisor: Dr. Athina Petropulu Communications and Signal Processing Laboratory (CSPL) Electrical and Computer Engineering Department

More information

Interference Alignment. Extensions. Basic Premise. Capacity and Feedback. EE360: Lecture 11 Outline Cross-Layer Design and CR. Feedback in Networks

Interference Alignment. Extensions. Basic Premise. Capacity and Feedback. EE360: Lecture 11 Outline Cross-Layer Design and CR. Feedback in Networks EE360: Lecture 11 Outline Cross- Design and Announcements HW 1 posted, due Feb. 24 at 5pm Progress reports due Feb. 29 at midnight (not Feb. 27) Interference alignment Beyond capacity: consummating unions

More information

On the Achievable Diversity-vs-Multiplexing Tradeoff in Cooperative Channels

On the Achievable Diversity-vs-Multiplexing Tradeoff in Cooperative Channels On the Achievable Diversity-vs-Multiplexing Tradeoff in Cooperative Channels Kambiz Azarian, Hesham El Gamal, and Philip Schniter Dept of Electrical Engineering, The Ohio State University Columbus, OH

More information

Cross-Layer Design and CR

Cross-Layer Design and CR EE360: Lecture 11 Outline Cross-Layer Design and CR Announcements HW 1 posted, due Feb. 24 at 5pm Progress reports due Feb. 29 at midnight (not Feb. 27) Interference alignment Beyond capacity: consummating

More information

3432 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. 10, OCTOBER 2007

3432 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. 10, OCTOBER 2007 3432 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 53, NO 10, OCTOBER 2007 Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution Yingbin Liang, Member, IEEE, Venugopal V Veeravalli, Fellow,

More information

Cooperative Spectrum Sensing in Cognitive Radio

Cooperative Spectrum Sensing in Cognitive Radio Cooperative Spectrum Sensing in Cognitive Radio Project of the Course : Software Defined Radio Isfahan University of Technology Spring 2010 Paria Rezaeinia Zahra Ashouri 1/54 OUTLINE Introduction Cognitive

More information

AS is well known, transmit diversity has been proposed

AS is well known, transmit diversity has been proposed 1766 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 60, NO. 4, APRIL 2012 Opportunistic Distributed Space-Time Coding for Decode--Forward Cooperation Systems Yulong Zou, Member, IEEE, Yu-DongYao, Fellow,

More information

Superposition Coding in the Downlink of CDMA Cellular Systems

Superposition Coding in the Downlink of CDMA Cellular Systems Superposition Coding in the Downlink of CDMA Cellular Systems Surendra Boppana and John M. Shea Wireless Information Networking Group University of Florida Feb 13, 2006 Outline of the talk Introduction

More information

OUTAGE MINIMIZATION BY OPPORTUNISTIC COOPERATION. Deniz Gunduz, Elza Erkip

OUTAGE MINIMIZATION BY OPPORTUNISTIC COOPERATION. Deniz Gunduz, Elza Erkip OUTAGE MINIMIZATION BY OPPORTUNISTIC COOPERATION Deniz Gunduz, Elza Erkip Department of Electrical and Computer Engineering Polytechnic University Brooklyn, NY 11201, USA ABSTRACT We consider a wireless

More information

Relay Selection in Adaptive Buffer-Aided Space-Time Coding with TAS for Cooperative Wireless Networks

Relay Selection in Adaptive Buffer-Aided Space-Time Coding with TAS for Cooperative Wireless Networks Asian Journal of Engineering and Applied Technology ISSN: 2249-068X Vol. 6 No. 1, 2017, pp.29-33 The Research Publication, www.trp.org.in Relay Selection in Adaptive Buffer-Aided Space-Time Coding with

More information

REVIEW OF COOPERATIVE SCHEMES BASED ON DISTRIBUTED CODING STRATEGY

REVIEW OF COOPERATIVE SCHEMES BASED ON DISTRIBUTED CODING STRATEGY INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 REVIEW OF COOPERATIVE SCHEMES BASED ON DISTRIBUTED CODING STRATEGY P. Suresh Kumar 1, A. Deepika 2 1 Assistant Professor,

More information

Cooperative Compressed Sensing for Decentralized Networks

Cooperative 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 information

Performance Comparison of Cooperative OFDM and SC-FDE Relay Networks in A Frequency-Selective Fading Channel

Performance Comparison of Cooperative OFDM and SC-FDE Relay Networks in A Frequency-Selective Fading Channel Performance Comparison of Cooperative and -FDE Relay Networks in A Frequency-Selective Fading Alina Alexandra Florea, Dept. of Telecommunications, Services and Usages INSA Lyon, France alina.florea@it-sudparis.eu

More information

#8 Adaptive Modulation Coding

#8 Adaptive Modulation Coding 06 Q Wireless Communication Engineering #8 Adaptive Modulation Coding Kei Sakaguchi sakaguchi@mobile.ee. July 5, 06 Course Schedule () Date Text Contents #7 July 5 4.6 Error correction coding #8 July 5

More information

Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad-Hoc Networks: A POMDP Framework

Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad-Hoc Networks: A POMDP Framework Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad-Hoc Networks: A POMDP Framework Qing Zhao, Lang Tong, Anathram Swami, and Yunxia Chen EE360 Presentation: Kun Yi Stanford University

More information

[Tomar, 2(7): July, 2013] ISSN: Impact Factor: 1.852

[Tomar, 2(7): July, 2013] ISSN: Impact Factor: 1.852 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Comparison of different Combining methods and Relaying Techniques in Cooperative Diversity Swati Singh Tomar *1, Santosh Sharma

More information

Beamforming and Binary Power Based Resource Allocation Strategies for Cognitive Radio Networks

Beamforming 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 information

Power and Bandwidth Allocation in Cooperative Dirty Paper Coding

Power and Bandwidth Allocation in Cooperative Dirty Paper Coding Power and Bandwidth Allocation in Cooperative Dirty Paper Coding Chris T. K. Ng 1, Nihar Jindal 2 Andrea J. Goldsmith 3, Urbashi Mitra 4 1 Stanford University/MIT, 2 Univeristy of Minnesota 3 Stanford

More information

Opportunities, Constraints, and Benefits of Relaying in the Presence of Interference

Opportunities, Constraints, and Benefits of Relaying in the Presence of Interference Opportunities, Constraints, and Benefits of Relaying in the Presence of Interference Peter Rost, Gerhard Fettweis Technische Universität Dresden, Vodafone Chair Mobile Communications Systems, 01069 Dresden,

More information

Diversity Techniques

Diversity 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 information

Bounds on Achievable Rates for Cooperative Channel Coding

Bounds on Achievable Rates for Cooperative Channel Coding Bounds on Achievable Rates for Cooperative Channel Coding Ameesh Pandya and Greg Pottie Department of Electrical Engineering University of California, Los Angeles {ameesh, pottie}@ee.ucla.edu Abstract

More information

Wireless Network Pricing Chapter 2: Wireless Communications Basics

Wireless Network Pricing Chapter 2: Wireless Communications Basics Wireless Network Pricing Chapter 2: Wireless Communications Basics Jianwei Huang & Lin Gao Network Communications and Economics Lab (NCEL) Information Engineering Department The Chinese University of Hong

More information

Joint spatial-temporal spectrum sensing and cooperative relaying for cognitive radio networks

Joint spatial-temporal spectrum sensing and cooperative relaying for cognitive radio networks Joint spatial-temporal spectrum sensing and cooperative relaying for cognitive radio networks A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy

More information

Multiplexing Module W.tra.2

Multiplexing Module W.tra.2 Multiplexing Module W.tra.2 Dr.M.Y.Wu@CSE Shanghai Jiaotong University Shanghai, China Dr.W.Shu@ECE University of New Mexico Albuquerque, NM, USA 1 Multiplexing W.tra.2-2 Multiplexing shared medium at

More information

Optimal Power Allocation over Fading Channels with Stringent Delay Constraints

Optimal Power Allocation over Fading Channels with Stringent Delay Constraints 1 Optimal Power Allocation over Fading Channels with Stringent Delay Constraints Xiangheng Liu Andrea Goldsmith Dept. of Electrical Engineering, Stanford University Email: liuxh,andrea@wsl.stanford.edu

More information

Chapter 12. Cross-Layer Optimization for Multi- Hop Cognitive Radio Networks

Chapter 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 information

PERFORMANCE ANALYSIS OF COLLABORATIVE HYBRID-ARQ INCREMENTAL REDUNDANCY PROTOCOLS OVER FADING CHANNELS

PERFORMANCE ANALYSIS OF COLLABORATIVE HYBRID-ARQ INCREMENTAL REDUNDANCY PROTOCOLS OVER FADING CHANNELS PERFORMANCE ANALYSIS OF COLLABORATIVE HYBRID-ARQ INCREMENTAL REDUNDANCY PROTOCOLS OVER FADING CHANNELS Igor Stanojev, Osvaldo Simeone and Yeheskel Bar-Ness Center for Wireless Communications and Signal

More information

Collaborative transmission in wireless sensor networks

Collaborative transmission in wireless sensor networks Collaborative transmission in wireless sensor networks Cooperative transmission schemes Stephan Sigg Distributed and Ubiquitous Systems Technische Universität Braunschweig November 22, 2010 Stephan Sigg

More information

Capacity and Cooperation in Wireless Networks

Capacity and Cooperation in Wireless Networks Capacity and Cooperation in Wireless Networks Chris T. K. Ng and Andrea J. Goldsmith Stanford University Abstract We consider fundamental capacity limits in wireless networks where nodes can cooperate

More information

arxiv: v2 [cs.it] 29 Mar 2014

arxiv: v2 [cs.it] 29 Mar 2014 1 Spectral Efficiency and Outage Performance for Hybrid D2D-Infrastructure Uplink Cooperation Ahmad Abu Al Haija and Mai Vu Abstract arxiv:1312.2169v2 [cs.it] 29 Mar 2014 We propose a time-division uplink

More information

Joint Optimization of Relay Strategies and Resource Allocations in Cooperative Cellular Networks

Joint Optimization of Relay Strategies and Resource Allocations in Cooperative Cellular Networks Joint Optimization of Relay Strategies and Resource Allocations in Cooperative Cellular Networks Truman Ng, Wei Yu Electrical and Computer Engineering Department University of Toronto Jianzhong (Charlie)

More information

Delay-Diversity in Multi-User Relay Systems with Interleave Division Multiple Access

Delay-Diversity in Multi-User Relay Systems with Interleave Division Multiple Access Delay-Diversity in Multi-User Relay Systems with Interleave Division Multiple Access Petra Weitkemper, Dirk Wübben, Karl-Dirk Kammeyer Department of Communications Engineering, University of Bremen Otto-Hahn-Allee,

More information

Smart Scheduling and Dumb Antennas

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 information

ENERGY EFFICIENT RELAY SELECTION SCHEMES FOR COOPERATIVE UNIFORMLY DISTRIBUTED WIRELESS SENSOR NETWORKS

ENERGY EFFICIENT RELAY SELECTION SCHEMES FOR COOPERATIVE UNIFORMLY DISTRIBUTED WIRELESS SENSOR NETWORKS ENERGY EFFICIENT RELAY SELECTION SCHEMES FOR COOPERATIVE UNIFORMLY DISTRIBUTED WIRELESS SENSOR NETWORKS WAFIC W. ALAMEDDINE A THESIS IN THE DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING PRESENTED IN

More information

When Network Coding and Dirty Paper Coding meet in a Cooperative Ad Hoc Network

When Network Coding and Dirty Paper Coding meet in a Cooperative Ad Hoc Network When Network Coding and Dirty Paper Coding meet in a Cooperative Ad Hoc Network Nadia Fawaz, David Gesbert Mobile Communications Department, Eurecom Institute Sophia-Antipolis, France {fawaz, gesbert}@eurecom.fr

More information

Cooperative communication with regenerative relays for cognitive radio networks

Cooperative communication with regenerative relays for cognitive radio networks 1 Cooperative communication with regenerative relays for cognitive radio networks Tuan Do and Brian L. Mark Dept. of Electrical and Computer Engineering George Mason University, MS 1G5 4400 University

More information

TIME- OPTIMAL CONVERGECAST IN SENSOR NETWORKS WITH MULTIPLE CHANNELS

TIME- OPTIMAL CONVERGECAST IN SENSOR NETWORKS WITH MULTIPLE CHANNELS TIME- OPTIMAL CONVERGECAST IN SENSOR NETWORKS WITH MULTIPLE CHANNELS A Thesis by Masaaki Takahashi Bachelor of Science, Wichita State University, 28 Submitted to the Department of Electrical Engineering

More information

KURSOR Menuju Solusi Teknologi Informasi Vol. 9, No. 1, Juli 2017

KURSOR Menuju Solusi Teknologi Informasi Vol. 9, No. 1, Juli 2017 Jurnal Ilmiah KURSOR Menuju Solusi Teknologi Informasi Vol. 9, No. 1, Juli 2017 ISSN 0216 0544 e-issn 2301 6914 OPTIMAL RELAY DESIGN OF ZERO FORCING EQUALIZATION FOR MIMO MULTI WIRELESS RELAYING NETWORKS

More information

Power Allocation based Hybrid Multihop Relaying Protocol for Sensor Networks

Power Allocation based Hybrid Multihop Relaying Protocol for Sensor Networks , pp.70-74 http://dx.doi.org/10.14257/astl.2014.46.16 Power Allocation based Hybrid Multihop Relaying Protocol for Sensor Networks Saransh Malik 1,Sangmi Moon 1, Bora Kim 1, Hun Choi 1, Jinsul Kim 1, Cheolhong

More information

Adaptive Resource Allocation in Wireless Relay Networks

Adaptive Resource Allocation in Wireless Relay Networks Adaptive Resource Allocation in Wireless Relay Networks Tobias Renk Email: renk@int.uni-karlsruhe.de Dimitar Iankov Email: iankov@int.uni-karlsruhe.de Friedrich K. Jondral Email: fj@int.uni-karlsruhe.de

More information

ASYNCHRONOUS BI-DIRECTIONAL RELAY-ASSISTED COMMUNICATION NETWORKS

ASYNCHRONOUS BI-DIRECTIONAL RELAY-ASSISTED COMMUNICATION NETWORKS ASYNCHRONOUS BI-DIRECTIONAL RELAY-ASSISTED COMMUNICATION NETWORKS By Reza Vahidnia A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN THE FACULTY OF

More information

Performance Analysis and Improvements for the Future Aeronautical Mobile Airport Communications System. Candidate: Paola Pulini Advisor: Marco Chiani

Performance Analysis and Improvements for the Future Aeronautical Mobile Airport Communications System. Candidate: Paola Pulini Advisor: Marco Chiani Performance Analysis and Improvements for the Future Aeronautical Mobile Airport Communications System (AeroMACS) Candidate: Paola Pulini Advisor: Marco Chiani Outline Introduction and Motivations Thesis

More information

Interference: An Information Theoretic View

Interference: An Information Theoretic View Interference: An Information Theoretic View David Tse Wireless Foundations U.C. Berkeley ISIT 2009 Tutorial June 28 Thanks: Changho Suh. Context Two central phenomena in wireless communications: Fading

More information

Cooperative Strategies and Capacity Theorems for Relay Networks

Cooperative Strategies and Capacity Theorems for Relay Networks بسم الرحمن الرحيم King Fahd University of Petroleum and Minerals College of Engineering Sciences Department of Electrical Engineering Graduate Program Cooperative Strategies and Capacity Theorems for Relay

More information

2. TELECOMMUNICATIONS BASICS

2. TELECOMMUNICATIONS BASICS 2. TELECOMMUNICATIONS BASICS The purpose of any telecommunications system is to transfer information from the sender to the receiver by a means of a communication channel. The information is carried by

More information

Fractional 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 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 information

Outage Probability of a Multi-User Cooperation Protocol in an Asynchronous CDMA Cellular Uplink

Outage Probability of a Multi-User Cooperation Protocol in an Asynchronous CDMA Cellular Uplink Outage Probability of a Multi-User Cooperation Protocol in an Asynchronous CDMA Cellular Uplink Kanchan G. Vardhe, Daryl Reynolds, and Matthew C. Valenti Lane Dept. of Comp. Sci and Elec. Eng. West Virginia

More information

Opportunistic Communication in Wireless Networks

Opportunistic 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 information

Open Access Concatenated RS-Convolutional Codes for Cooperative Wireless Communication

Open Access Concatenated RS-Convolutional Codes for Cooperative Wireless Communication Send Orders of Reprints at reprints@benthamscience.net The Open Electrical & Electronic Engineering Journal, 2013, 7, 9-20 9 Open Access Concatenated RS-Convolutional Codes for Cooperative Wireless Communication

More information

Chapter 1 Acknowledgment:

Chapter 1 Acknowledgment: Chapter 1 Acknowledgment: This material is based on the slides formatted by Dr Sunilkumar S. Manvi and Dr Mahabaleshwar S. Kakkasageri, the authors of the textbook: Wireless and Mobile Networks, concepts

More information

Cognitive Radio: From Theory to Practical Network Engineering

Cognitive Radio: From Theory to Practical Network Engineering 1 Cognitive Radio: From Theory to Practical Network Engineering Ekram Hossain 1, Long Le 2, Natasha Devroye 3, and Mai Vu 4 1 Department of Electrical and Computer Engineering, University of Manitoba ekram@ee.umanitoba.ca

More information

Throughput-optimal number of relays in delaybounded multi-hop ALOHA networks

Throughput-optimal number of relays in delaybounded multi-hop ALOHA networks Page 1 of 10 Throughput-optimal number of relays in delaybounded multi-hop ALOHA networks. Nekoui and H. Pishro-Nik This letter addresses the throughput of an ALOHA-based Poisson-distributed multihop wireless

More information

Analysis and Improvements of Linear Multi-user user MIMO Precoding Techniques

Analysis 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 information

ANALYSIS OF ENERGY EFFICIENCY OF COOPERATIVE MIMO SCHEMES NARAYANAN KRISHNAN. B.Tech., University of Kerala, India, 2004 A THESIS

ANALYSIS OF ENERGY EFFICIENCY OF COOPERATIVE MIMO SCHEMES NARAYANAN KRISHNAN. B.Tech., University of Kerala, India, 2004 A THESIS ANALYSIS OF ENERGY EFFICIENCY OF COOPERATIVE MIMO SCHEMES by NARAYANAN KRISHNAN B.Tech., University of Kerala, India, 2004 A THESIS submitted in partial fulfillment of the requirements for the degree MASTER

More information

Protocol Coding for Two-Way Communications with Half-Duplex Constraints

Protocol Coding for Two-Way Communications with Half-Duplex Constraints Protocol Coding for Two-Way Communications with Half-Duplex Constraints Petar Popovski and Osvaldo Simeone Department of Electronic Systems, Aalborg University, Denmark CWCSPR, ECE Dept., NJIT, USA Email:

More information

COGNITIVE RADIO TECHNOLOGY: ARCHITECTURE, SENSING AND APPLICATIONS-A SURVEY

COGNITIVE RADIO TECHNOLOGY: ARCHITECTURE, SENSING AND APPLICATIONS-A SURVEY COGNITIVE RADIO TECHNOLOGY: ARCHITECTURE, SENSING AND APPLICATIONS-A SURVEY G. Mukesh 1, K. Santhosh Kumar 2 1 Assistant Professor, ECE Dept., Sphoorthy Engineering College, Hyderabad 2 Assistant Professor,

More information

Research Article How to Solve the Problem of Bad Performance of Cooperative Protocols at Low SNR

Research Article How to Solve the Problem of Bad Performance of Cooperative Protocols at Low SNR Hindawi Publishing Corporation EURAIP Journal on Advances in ignal Processing Volume 2008, Article I 243153, 7 pages doi:10.1155/2008/243153 Research Article How to olve the Problem of Bad Performance

More information

CHAPTER 5 DIVERSITY. Xijun Wang

CHAPTER 5 DIVERSITY. Xijun Wang CHAPTER 5 DIVERSITY Xijun Wang WEEKLY READING 1. Goldsmith, Wireless Communications, Chapters 7 2. Tse, Fundamentals of Wireless Communication, Chapter 3 2 FADING HURTS THE RELIABILITY n The detection

More information

Scheduling in omnidirectional relay wireless networks

Scheduling in omnidirectional relay wireless networks Scheduling in omnidirectional relay wireless networks by Shuning Wang A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master of Applied Science

More information

IN RECENT years, wireless multiple-input multiple-output

IN RECENT years, wireless multiple-input multiple-output 1936 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 3, NO. 6, NOVEMBER 2004 On Strategies of Multiuser MIMO Transmit Signal Processing Ruly Lai-U Choi, Michel T. Ivrlač, Ross D. Murch, and Wolfgang

More information

Intelligent Adaptation And Cognitive Networking

Intelligent Adaptation And Cognitive Networking Intelligent Adaptation And Cognitive Networking Kevin Langley MAE 298 5/14/2009 Media Wired o Can react to local conditions near speed of light o Generally reactive systems rather than predictive work

More information

Noncoherent Demodulation for Cooperative Diversity in Wireless Systems

Noncoherent Demodulation for Cooperative Diversity in Wireless Systems Noncoherent Demodulation for Cooperative Diversity in Wireless Systems Deqiang Chen and J. Nicholas Laneman Department of Electrical Engineering University of Notre Dame Notre Dame IN 46556 Email: {dchen

More information

Overview. Cognitive Radio: Definitions. Cognitive Radio. Multidimensional Spectrum Awareness: Radio Space

Overview. Cognitive Radio: Definitions. Cognitive Radio. Multidimensional Spectrum Awareness: Radio Space Overview A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications Tevfik Yucek and Huseyin Arslan Cognitive Radio Multidimensional Spectrum Awareness Challenges Spectrum Sensing Methods

More information

On the Performance of Relay Stations with Multiple Antennas in the Two-Way Relay Channel

On the Performance of Relay Stations with Multiple Antennas in the Two-Way Relay Channel EUROPEAN COOPERATION IN THE FIELD OF SCIENTIFIC AND TECHNICAL RESEARCH EURO-COST SOURCE: Technische Universität Darmstadt Institute of Telecommunications Communications Engineering Lab COST 2100 TD(07)

More information

arxiv: v1 [cs.it] 12 Jan 2011

arxiv: v1 [cs.it] 12 Jan 2011 On the Degree of Freedom for Multi-Source Multi-Destination Wireless Networ with Multi-layer Relays Feng Liu, Chung Chan, Ying Jun (Angela) Zhang Abstract arxiv:0.2288v [cs.it] 2 Jan 20 Degree of freedom

More information

INTELLIGENT SPECTRUM MOBILITY AND RESOURCE MANAGEMENT IN COGNITIVE RADIO AD HOC NETWORKS. A Dissertation by. Dan Wang

INTELLIGENT SPECTRUM MOBILITY AND RESOURCE MANAGEMENT IN COGNITIVE RADIO AD HOC NETWORKS. A Dissertation by. Dan Wang INTELLIGENT SPECTRUM MOBILITY AND RESOURCE MANAGEMENT IN COGNITIVE RADIO AD HOC NETWORKS A Dissertation by Dan Wang Master of Science, Harbin Institute of Technology, 2011 Bachelor of Engineering, China

More information

Wireless ad hoc networks. Acknowledgement: Slides borrowed from Richard Y. Yale

Wireless ad hoc networks. Acknowledgement: Slides borrowed from Richard Y. Yale Wireless ad hoc networks Acknowledgement: Slides borrowed from Richard Y. Yang @ Yale Infrastructure-based v.s. ad hoc Infrastructure-based networks Cellular network 802.11, access points Ad hoc networks

More information

MIMO-aware Cooperative Cognitive Radio Networks. Hang Liu

MIMO-aware Cooperative Cognitive Radio Networks. Hang Liu MIMO-aware Cooperative Cognitive Radio Networks Hang Liu Outline Motivation and Industrial Relevance Project Objectives Approach and Previous Results Future Work Outcome and Impact [2] Motivation & Relevance

More information

Resource Allocation in Energy-constrained Cooperative Wireless Networks

Resource 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 information

Optimum Threshold for SNR-based Selective Digital Relaying Schemes in Cooperative Wireless Networks

Optimum Threshold for SNR-based Selective Digital Relaying Schemes in Cooperative Wireless Networks Optimum Threshold for SNR-based Selective Digital Relaying Schemes in Cooperative Wireless Networks Furuzan Atay Onat, Abdulkareem Adinoyi, Yijia Fan, Halim Yanikomeroglu, and John S. Thompson Broadband

More information

Performance Analysis of Cooperative Communication System with a SISO system in Flat Fading Rayleigh channel

Performance Analysis of Cooperative Communication System with a SISO system in Flat Fading Rayleigh channel Performance Analysis of Cooperative Communication System with a SISO system in Flat Fading Rayleigh channel Sara Viqar 1, Shoab Ahmed 2, Zaka ul Mustafa 3 and Waleed Ejaz 4 1, 2, 3 National University

More information

NAVAL POSTGRADUATE SCHOOL THESIS

NAVAL POSTGRADUATE SCHOOL THESIS NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS PERFORMANCE ANALYSIS OF DECODE-AND-FORWARD WITH COOPERATIVE DIVERSITY AND ALAMOUTI COOPERATIVE SPACE-TIME CODING IN CLUSTERED MULTIHOP WIRELESS NETWORKS

More information

MIMO Systems and Applications

MIMO Systems and Applications MIMO Systems and Applications Mário Marques da Silva marques.silva@ieee.org 1 Outline Introduction System Characterization for MIMO types Space-Time Block Coding (open loop) Selective Transmit Diversity

More information

Stability Analysis for Network Coded Multicast Cell with Opportunistic Relay

Stability Analysis for Network Coded Multicast Cell with Opportunistic Relay This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE ICC 00 proceedings Stability Analysis for Network Coded Multicast

More information

Cooperation in Wireless Networks

Cooperation in Wireless Networks Cooperation in Wireless Networks Ivana Marić and Ron Dabora Stanford 15 September 2008 Ivana Marić and Ron Dabora Cooperation in Wireless Networks 1 Objectives The case for cooperation Types of cooperation

More information

Information flow over wireless networks: a deterministic approach

Information flow over wireless networks: a deterministic approach Information flow over wireless networks: a deterministic approach alman Avestimehr In collaboration with uhas iggavi (EPFL) and avid Tse (UC Berkeley) Overview Point-to-point channel Information theory

More information

How (Information Theoretically) Optimal Are Distributed Decisions?

How (Information Theoretically) Optimal Are Distributed Decisions? How (Information Theoretically) Optimal Are Distributed Decisions? Vaneet Aggarwal Department of Electrical Engineering, Princeton University, Princeton, NJ 08544. vaggarwa@princeton.edu Salman Avestimehr

More information

Nagina Zarin, Imran Khan and Sadaqat Jan

Nagina Zarin, Imran Khan and Sadaqat Jan Relay Based Cooperative Spectrum Sensing in Cognitive Radio Networks over Nakagami Fading Channels Nagina Zarin, Imran Khan and Sadaqat Jan University of Engineering and Technology, Mardan Campus, Khyber

More information

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 57, NO. 4, APRIL

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 57, NO. 4, APRIL IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 57, NO. 4, APRIL 2011 1911 Fading Multiple Access Relay Channels: Achievable Rates Opportunistic Scheduling Lalitha Sankar, Member, IEEE, Yingbin Liang, Member,

More information

Keywords: Wireless Relay Networks, Transmission Rate, Relay Selection, Power Control.

Keywords: Wireless Relay Networks, Transmission Rate, Relay Selection, Power Control. 6 International Conference on Service Science Technology and Engineering (SSTE 6) ISB: 978--6595-35-9 Relay Selection and Power Allocation Strategy in Micro-power Wireless etworks Xin-Gang WAG a Lu Wang

More information