On optimizing energy efficiency in multi-radio multi-channel wireless networks

Multi-radio multi-channel (MR-MC) networks contribute significant enhancement in the network throughput by exploiting multiple radio interfaces and non-overlapping channels. While throughput optimization is one of the main targets in allocating resource in MR-MC networks, recently, the network energy efficiency is becoming a more and more important concern. Although turning on more radios and exploiting more channels for communication is always beneficial to network capacity, they may not be necessarily desirable from an energy efficiency perspective. The relationship between these two often conflicting objectives has not been well-studied in many existing works. In this paper, we investigate the problem of optimizing energy efficiency under full capacity operation in MR-MC networks and analyze the optimal choices of numbers of radios and channels. We provide detailed problem formulation and solution procedures. In particular, for homogeneous commodity networks, we derive a theoretical upper bound of the optimal energy efficiency and analyze the conditions under which such optimality can be achieved. Numerical results demonstrate that the achieved optimal energy efficiency is close to the theoretical upper bound.

[1]  Yiwei Thomas Hou,et al.  On optimal throughput-energy curve for multi-hop wireless networks , 2011, 2011 Proceedings IEEE INFOCOM.

[2]  H. Vincent Poor,et al.  Energy-efficient resource allocation in wireless networks with quality-of-service constraints , 2007, IEEE Transactions on Communications.

[3]  Stefano Avallone An Energy Efficient Channel Assignment and Routing Algorithm for Multi-Radio Wireless Mesh Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[4]  Hyungsik Ju,et al.  Throughput Maximization in Wireless Powered Communication Networks , 2013, IEEE Trans. Wirel. Commun..

[5]  Wei Song,et al.  Energy-efficient capacity optimization in wireless networks , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[6]  Geoffrey Ye Li,et al.  Fundamental trade-offs on green wireless networks , 2011, IEEE Communications Magazine.

[7]  Mahesh K. Marina,et al.  A topology control approach for utilizing multiple channels in multi-radio wireless mesh networks , 2010, Comput. Networks.

[8]  Vijay K. Bhargava,et al.  Energy-Aware Resource Allocation for Cooperative Cellular Network Using Multi-Objective Optimization Approach , 2012, IEEE Transactions on Wireless Communications.

[9]  Lei Tang,et al.  EM-MAC: a dynamic multichannel energy-efficient MAC protocol for wireless sensor networks , 2011, MobiHoc '11.

[10]  Xinbing Wang,et al.  A generic framework for throughput-optimal control in MR-MC wireless networks , 2012, 2012 Proceedings IEEE INFOCOM.

[11]  Robert Tappan Morris,et al.  Opportunistic routing in multi-hop wireless networks , 2004, Comput. Commun. Rev..

[12]  Wenjing Lou,et al.  Opportunistic Routing in Multi-Radio Multi-Channel Multi-Hop Wireless Networks , 2010, IEEE Trans. Wirel. Commun..

[13]  Yu Cheng,et al.  A theoretical framework for optimal cooperative networking in multiradio multichannel wireless networks , 2012, IEEE Wireless Communications.

[14]  Yu Cheng,et al.  Energy-aware optimal resource allocation in MR-MC wireless networks , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[15]  Lei Deng,et al.  Energy efficiency optimization in uplink virtual MIMO systems , 2012, 2012 IEEE International Conference on Communications (ICC).

[16]  Ness B. Shroff,et al.  Performance of low-complexity greedy scheduling policies in multi-channel wireless networks: Optimal throughput and near-optimal delay , 2013, 2013 Proceedings IEEE INFOCOM.

[17]  Yu Cheng,et al.  Energy-Efficient Sleep Scheduling for Delay-Constrained Applications Over WLANs , 2014, IEEE Transactions on Vehicular Technology.