1st Edition

Energy Efficient Cooperative Wireless Communication and Networks

By Zhengguo Sheng, Chi Harold Liu Copyright 2015
    221 Pages 59 B/W Illustrations
    by CRC Press

    222 Pages 59 B/W Illustrations
    by CRC Press

    Compared with conventional communications, cooperative communication allows multiple users in a wireless network to coordinate their packet transmissions and share each other's resources, thus achieving high-performance gain and better service coverage and reliability. Energy Efficient Cooperative Wireless Communication and Networks provides a comprehensive look at energy efficiency and system design of cooperative wireless communication.

    Introducing effective cooperative wireless communication schemes, the book supplies the understanding and methods required to improve energy efficiency, reliability, and end-to-end protocol designs for wireless communication systems. It explains the practical benefits and limitations of cooperative transmissions along with the associated designs of upper-layer protocols, including MAC, routing, and transport protocol.

    The book considers power efficiency as a main objective in cooperative communication to ensure quality-of-service (QoS) requirements. It explains how to bring the performance gain at the physical layer up to the network layer and how to allocate network resources dynamically through MAC/scheduling and routing to trade off the performance benefits of given transmissions against network costs.

    Because the techniques detailed in each chapter can help readers achieve energy efficiency and reliability in wireless networks, they have the potential to impact a range of industry areas, including wireless communication, wireless sensor networks, and ad hoc networks.

    The book includes numerous examples, best practices, and models that capture key issues in real-world applications. Along with algorithms and tips for effective design, the book supplies the understanding you will need to achieve high-performing and energy efficient wireless networks with improved service coverage and reliability.

    Introduction: Zhengguo Sheng and Chi Harold Liu
    Overview
    Related Work
    Motivation and Aims
    Organization of the Book

    FUNDAMENTAL UNDERSTANDING OF COOPERATIVE COMMUNICATION

    Reliability of Cooperative Transmission; Zhiguo Ding and Zhengguo Sheng
    System Model
    Outage Behavior of Transmission Schemes
         Direct Transmission 
         Cooperative Transmission
    Motivating Example
    Description of the QOS-Driven Routing Algorithm
    Simulation Result

    Energy Consumption of Cooperative Transmission; Zhengguo Sheng and Kin K. Leung
    Introduction
    Description of the Power-Efficient Routing Algorithm
    Performance Evaluation

    Throughput of Cooperative Transmission
    ; Zhengguo Sheng and Zhiguo Ding
    Introduction
    Interference Subtraction in a Multi-Hop Scenario
    Supplementary Cooperation
    Simulation Result

    Delay Analysis of Cooperative Transmission; Zhiguo Ding, Kin K. Leung, and Zhengguo Sheng
    Introduction
    System Model and Delay Behaviors
         Amplify-and-Forward Transmission 
         Decode-and-Forward Transmission 
         Multi-Hop Transmission
    Delay Analysis for Multi-Hop Scenario
    Delay Analysis with Interference Subtraction 
         Interference Subtraction 
         End-to-End Delay Analysis
         Throughput Analysis

    COOPERATIVE COMMUNICATION IN SINGLE-HOP SCENARIO

    Power Efficiency of Cooperative Transmission; Bongjun Ko and Zhengguo Sheng
    Introduction
    Cooperative Region 
         Path-Loss Exponent α = 1 
         Path-Loss Exponent α = 2 
         General Path-Loss Exponents 
         Simulation Result
    Average Power Ratio 
         Average Power Ratio for α = 2 
         General Path-Loss Exponent 
         Dynamic Cooperation Scheme 
         Simulation Result

    Optimal Power Allocation of Cooperative Transmission; Zhengguo Sheng and Bongjun Ko
    Introduction 
         Problem Formulation 
         Analysis of Optimal DAF Cooperation
         Simulation Result
    Energy-Efficient Relay Selection for DAF
         Relay Selection Rules
         On Distributed Implementation of Relay Selection

    COOPERATIVE COMMUNICATION IN MULTI-PAIR MULTI-HOP SCENARIO

    REACT: Residual Energy-Aware Cooperative Transmissions
    ; Erwu Liu, Rui Wang, Chao Wang, Xinlin Huang, and Fuqiang Liu
    Introduction
    System Model
    Simulation Results 
         Path Loss plus Rayleigh Fading 
         Only Path Loss, No Fading
    Conclusion

    Joint Beamforming and Power Allocation
    ; Chee Yen Leow
    Introduction
    System Model and Protocol Description
         Initialization 
         Transmission Protocol
    Beamforming Design 
         Design of F
         Design of
         Design of Gi
    Joint Power Allocation
         Subchannel SNR Derivation 
         Sum-Rate Optimization 
         Proposed Power Allocation Strategies 
         Baseline Schemes and Comparable Scheme
    Numerical Results
    Conclusion

    Selfishness-Aware Energy-Efficient Cooperative Networks
    ; Jun Fan, Zhengguo Sheng, and Chi Harold Liu
    Introduction
    System Model 
         Direct Transmission 
         Cooperative Transmission with Multiple Simultaneous Relays 
         Utility Function and Selfishness Index
    Optimal Power Allocation
    Network Lifetime-Aware Two-Step Relay Selection
    Performance Evaluation 
         A Five-Node Example 
         A Complete Setting
    Conclusions And Future Work

    Network Protocol Design of M2M-Based Cooperative Relaying
    ; Zhengguo Sheng, Hao Wang, Daqing Gu, Xuesong Chen, Changchuan Yin, and Chi Harold Liu
    Introduction
    System Model and Transmission Power Consumption for Optimal DAF Cooperation
         Direct Transmission 
         Optimal DAF Cooperative Transmission
    Analysis of Optimal DAF Cooperation 
         Power Efficiency Factor 
         Best Relay Location for Optimal DAF 
         Comparison with Existing Literature
    Cooperation-Aided Routing in Low-Power and Lossy Networks
    Performance of Cooperation-Aided Routing
    Conclusions

    Conclusion;
    Zhengguo Sheng and Chi Harold Liu
    Contributions and Conclusions 
         Fundamental Understanding of Cooperative Routing 
         Fundamental Understanding of Cooperative Communication Using Probabilistic Tools 
         Cooperative Communication in Practice
    Future Work 
         Robust Relay Selection Schemes 
         A Cross-Layer Design for Joint Flow Control, Cooperative Routing, and Scheduling in Multi-hop Wireless Sensor Networks 
         Cooperative Communications in VANETs

    Appendix
     Optimal Cooperative Route 
    Proof of Theorem 2.2 
    Derivation of (5.18) AND (5.19) 
    Proof of Theorem 5.2 
         Numerator of
         Denominator of g
    Proof of Equation (6.26)
    Proof of Theorem 7.1 
    Proof of Theorem 7.6

    Biography

    Zhengguo Sheng is a lecturer at the University of Sussex, UK, and co-founder of WRTnode. His current research interests cover Internet-of-Things, machine-to-machine (M2M), mobile cloud computing, and power line communication (PLC). Previously, he was with the University of British Columbia as a research associate, and with France Telecom Orange Labs as the senior researcher and project manager in M2M and Internet-of-Things, as well as the coordinator of Orange and Asia telco on NFC-SWP partnership. He is also the winner of the Orange Outstanding Researcher Award and CEO Retention bonus recipient, 2012. He also worked as a research intern with IBM T. J. Watson Research Center, USA, and U.S. Army Research Labs. With six years of research experience across industry and academia, Sheng has research interests that cover a wide range in wireless communication from the fundamental information theory to radio technology and protocol design, and so on. Before joining Orange Labs, he received his Ph.D. and M.S. with distinction at Imperial College London in 2011 and 2007, respectively, and his B.Sc. from the University of Electronic Science and Technology of China (UESTC) in 2006.

    He has published more than 30 prestigious conference and journal papers. He serves as the technical committee member of ELSEVIER Journals of Computer Communications (COMCOM). He has also served as the co-organizer of IEEE International Symposium on Wireless Vehicular Communications (WiVeC’14), session chair of IEEE VTC’14-Fall, technical program committee members of Tensymp'15, CloudCom'14, SmartComp'14, WCSP'14, Qshine'14, ICCAAD'14, ContextDD'14, etc. He is also a member of the Institute of Electrical and Electronics Engineers (IEEE), Vehicular Technology Society (VTS) and the Association for Computing Machinery (ACM).

    Chi Harold Liu is a Full Professor at the School of Software, Beijing Institute of Technology, China. He is also the Director of IBM Mainframe Excellence Center (Beijing), Director of IBM Big Data & Analysis Technology Center, and Director of National Laboratory of Data Intelligence for China Light Industry. He holds a Ph.D. degree from Imperial College, UK, and a B.Eng. degree from Tsinghua University, China. Before moving to academia, he joined IBM Research – China as a staff researcher and project manager, and worked as a postdoctoral researcher at Deutsche Telekom Laboratories, Germany, and as a visiting scholar at IBM T. J. Watson Research Center, USA. His current research interests include the Internet-of-Things (IoT), big data analytics, mobile computing, and wireless ad hoc, sensor, and mesh networks. He received the Distinguished Young Scholar Award in 2013, IBM First Plateau Invention Achievement Award in 2012, and IBM First Patent Application Award in 2011 and was interviewed by EEWeb.com as the Featured Engineer in 2011. He has published more than 50 prestigious conference and journal papers and owned more than 10 EU/U.S./China patents. He serves as the editor for KSII Trans. on Internet and Information Systems and the book editor for four books published by Taylor & Francis Group, USA. He also has served as the general chair of IEEE SECON’13 workshop on IoT Networking and Control, IEEE WCNC’12 workshop on IoT Enabling Technologies, and ACM UbiComp’11 Workshop on Networking and Object Memories for IoT. He served as the consultant to Bain & Company, and KPMG, USA, and the peer reviewer for Qatar National Research Foundation, and National Science Foundation, China. He is a member of IEEE and ACM.