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http://dx.doi.org/10.9708/jksci.2014.19.8.055

Game Theoretic Approach for Energy Efficient Rate Scheduling on the interference channel  

Oh, Chang-Yoon (Dept. of Information and Communication Engineering, Inha Technical College)
Abstract
A game theoretic approach is applied for studying the energy efficient rate scheduling. The individual utility function is defined first. Then, a non cooperative rate game is modeled in which each user decides the transmission rate to maximize its own utility. The utility function considered here is the consumed energy for the individual user's data transmissions. In particular, using the fact that the utility function is convex, we prove the existence of Nash Equilibrium in the energy efficient rate scheduling problem at hand. Accordingly, a non cooperative scheduling algorithm is provided. For better energy efficiency, the sum of the individual user's utility function is optimized Finally, the convergence analysis and numerical results to show the energy efficiency of the proposed algorithms are provided.
Keywords
Scheduling; Game Theory; Interference Channel;
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1 An He, et. al., "Minimizing Energy Consumption Using Cognitive Radio," IEEE International Performance, Computing and Communications Conference (IPCCC), 2008, pp.372-377, 7-9 Dec. 2008.
2 D. Calin, H. Claussen, and H. Uzunalioglu, "On femto deployment architectures and macrocell offloading benefits in joint macro-femto deployments," IEEE Communications Magazine, vol. 48, no. 1, pp. 26-32, 2010.
3 A. J Fehske, F. Richter, and G. P Fettweis, "Energy Efficiency Improvements through Micro Sites in Cellular Mobile Radio Networks," 2nd International Workshop on Green Communications, Globecom, pp.1-5, Nov. 30 2009-Dec. 4 2009.
4 J. Mitola III, and G. Q. Maguire, Jr., "Cognitive radio: making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, Aug. 1999.   DOI   ScienceOn
5 D. Feng, et al, "A Survey of Energy-Efficient Wireless Communications," IEEE Communications Surveys & Tutorials, vol. 15, no. 1, First Quarter 2013.
6 M. Xiao, N.B. Shroff, and E.K.P. Chong. "A utility-based power-control scheme in wireless cellular systems," IEEE/ACM Transactions on Networking, 11:210-221, April 2003.   DOI   ScienceOn
7 F. Meshkati, et al. "A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems," IEEE Journal on Selected Areas in Communications, vol. 24, no.6, June 2006.
8 C. Oh et al. A., "Downlink Throughput Maximization for Interference Limited Multiuser Systems: TDMA versus CDMA," IEEE Transactions on Wireless Communications, vol. 6, no.7, pp.2454 - 2463, July 2007.   DOI   ScienceOn
9 A. J. Goldsmith and S. G. Chua., "Variable-rate variable-power MQAM for fading channels," IEEE Transactions on Communications, 45:1218-1230, October 1997.   DOI   ScienceOn
10 Z. Hasan et al., "Green Cellular Networks: A Survey, Some Research Issues and Challenges," IEEE Communications Surveys & Tutorials, vol. 13, no. 4, p534-540, Fourth Quarter 2011.
11 E. Calvanese Strinati at al., "Green Communications: An Emerging," p267-301, May, Journal of Green Engineering, 2011.
12 Z. Niu, et al., "Cell zooming for cost-efficient green cellular networks," IEEE Communications Magazine, vol. 48, no.11, pp.74-79, November 2010.
13 M. A Marsan, and M. Meo, "Energy efficient wireless Internet access with cooperative cellular networks," Computer Networks, 2010.
14 K. Samdanis, D. Kutscher, and M. Brunner, "Self-organized energy efficient cellular networks," Proc. IEEE PIMRC'10, pp. 1665-1670, 2010.
15 L.C. Schmelz, et. al, "Self-organisation in Wireless Networks Use Cases and their Interrelation," 22nd WWRF, May 2009.