SIG on Green Cellular Networks

 
Chair Daniel Ka Chun So University of Manchester, UK
Vice-Chair Jie Tang South China University of Technology, China
Vice-Chair Swades De IIT Delhi, India
Vice-Chair Kun Yang University of Essex, UK
Advisor John Thompson The University of Edinburgh, UK

Scope and Objectives

SIGGCN focuses on cellular networks, defined as networks that deliver broadband services to mobile users over a large geographical area, as exemplified by 3G systems today. The current architecture of 3G networks is homogeneous, with base stations communicating directly or through repeaters with mobile users. In the future, cellular networks are likely to adopt a heterogeneous structure, with two or more tiers of access points having widely differing coverage areas and capabilities. This SIG would therefore cover both the homogeneous structure of the present and the heterogeneous structure of the future. A combination of cooperation and cognition in order to reduce energy usage is an example of a research thrust that will be supported. The integration of energy harvesting into a large-scale communication network is another example.

Aside from network architecture, resource allocation and other cross-layer optimization problems related to cellular networks will be covered. For instance, with uncertainty in the amount of power generated from renewable energy sources, reliability in terms of outage can be traded off against delay, which leads to a fundamental change in scheduling strategies. Similarly, if energy efficiency is the main goal, opportunistic scheduling of users with delay-tolerant traffic having the best channels may be desirable. These and related problems will fall under the scope of this SIG.

Finally, at the physical layer, the power consumption of transceivers in mobile and infrastructure devices will be a key parameter that requires more intricate and accurate modeling, and must be accounted for in any green system design. If a receiver structure that performs better in terms of bit error probability consumes more power, it may not be an attractive option. If a coding scheme performs closer to the fundamental limit but at the cost of greatly increased encoding complexity, again it may not be the best choice. In other words, it is critical to develop a more sophisticated, unified way of evaluating performance at the physical layer that emphasizes energy efficiency, compared to traditional approaches that rely on outage and error probabilities alone. The PHY layer will therefore also be a key component of this SIG.

In summary, this SIG will concentrate on energy efficiency and integration of renewable energy sources into cellular networks, defined as those that deliver broadband communication services to mobile users over a large geographical area. The sub-areas of interest can be divided into:

  • Network architecture e.g. heterogeneous or multi-tier structure and how that can help to reduce energy usage and reliance on carbon-based energy;
  • Cross-layer optimization e.g. resource allocation based on trading off one measure of performance against another;
  • Physical layer design e.g. accounting for power consumption when evaluating the performance of coding, modulation and receiver schemes.

Founding Members

  1. Teng Joon Lim, National University of Singapore,Singapore
  2. Tony Quek, Singapore Univ. of Technology and Design, Singapore
  3. Marios Kountouris, Ecole Superieur d’Electricite (Supelec), France
  4. Shuguang Cui, Texas A&M University USA
  5. Kwang-Cheng Chen, National Taiwan University, Taiwan
  6. Chintha Tellambura, University of Alberta, Canada
  7. Xianbin Wang , University of Western Ontario, Canada
  8. Victor Leung , University of British Columbia, Canada
  9. Zhisheng Niu , Tsinghua University, China
  10. Yan Chen , Huawei Technologies, China
  11. Yiqing Zhou , Chinese Academy of Sciences, China
  12. Marco di Renzo , Ecole Superieur d’Electricite (Supelec), France
  13. Robert Schober , Friedrich-Alexander U. of Erlangen-Nuremberg, Germany
  14. Vincent Lau , Hong Kong Univ. of Science and Technology, Hong Kong
  15. Kaibin Huang , Hong Kong Polytechnic University, Hong Kong
  16. Chee Wei Tan , City University of Hong Kong, Hong Kong
  17. Liqun Fu , Chinese University of Hong Kong, Hong Kong
  18. Neelesh Mehta , Indian Institute of Science, India
  19. Chandra Murthy , Indian Institute of Science, India
  20. David Lopez-Perez, Bell Labs Alcatel-Lucent, Ireland
  21. Hai Lin , Osaka Prefecture University, Japan
  22. Hideki Ochiai , Yokohama National University, Japan
  23. Hyundong Shin , Kyung Hee University, Korea
  24. Hanna Bogucka , Poznan University of Technology, Poland
  25. Sumei Sun , Institute for Infocomm Research, Singapore
  26. Rui Zhang , National University of Singapore, Singapore
  27. Lingjie Duan , Singapore Univ. of Technology and Design, Singapore
  28. Timothy O’Farrell , University of Sheffield, UK
  29. John Thompson , University of Edinburgh UK
  30. Aria Nosratinia , University of Texas at Dallas, USA
  31. Robert Heath , University of Texas at Austin USA
  32. Ismail Guvenc , DoCoMo Innovations Inc. USA
  33. Alireza Seyedi , University of Rochester USA
  34. Chunyi Peng , University of California, Los Angeles, USA
  35. Chih-Lin I, China Mobile Communications Corporation, China
  36. Jinsong Wu, Bell Laboratories, China
  37. Oliver Holland, King’s College London, UK