Energy Efficient Cooperative Wireless Communication and Networks

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 a = 1 
     Path-Loss Exponent a = 2 
     General Path-Loss Exponents 
     Simulation Result
Average Power Ratio 
     Average Power Ratio for a = 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 Fi 
     Design ofW 
     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 g 
     Denominator of g
Proof of Equation (6.26)
Proof of Theorem 7.1 
Proof of Theorem 7.6

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.