Alessio Zappone
ABSTRACT
In this paper, the issue of non-cooperative, green resource allocation in a multicarrier relay-assisted interference channel is considered. The energy efficiency of a given terminal is defined as the ratio between the throughput of that terminal and the consumed power. Unlike many previous contributions, as far as the computation of the consumed power is concerned, not only the transmit power, but also the dissipated circuit power which is needed to operate the device is taken into account. First, a non-cooperative power control game is devised, which admits a unique Nash equilibrium, and whose best-response-dynamics is guaranteed to converge to the unique equilibrium. For the sake of comparison, a cooperative power control algorithm is also devised. Next, the theory of potential games will be employed to address the more general issue of joint subcarrier and power control for energy efficiency maximization, devising a non-cooperative game whose best-response dynamics is guaranteed to converge to a Nash equilibrium. Finally, numerical results are provided to show the merits of the proposed algorithms.
- G. Bacci, A. Bulzomato, and M. Luise. Uplink power control and subcarrier assignment for an ofdma multicellular network based on game theory. In Proc. Int. Conf. on Performance Evaluation Methodologies and Tools (ValueTools), Paris, France, May 2011. Google Scholar
Digital Library
- S. Betz and H. V. Poor. Energy Efficient Communications in CDMA Networks: A Game Theoretic Analysis Considering Operating Costs. IEEE Transactions on Signal Processing, 56(10):5181--5190, 2008. Google ScholarCross Ref
- S. Buzzi, G. Colavolpe, D. Saturnino, and A. Zappone. Potential Games for Energy-Efficient Power Control and Subcarrier Allocation in Uplink Multicell OFDMA Systems. IEEE Journal on Selected Topics in Signal Processing, To Appear.Google Scholar
- S. Buzzi, H. Poor, and A. Zappone. Transmitter Waveform and Widely-Linear Receiver Design: Non-cooperative Games for Wireless Multiple-Access Networks. IEEE Transactions on Information Theory, 56(10):4874--4892, October 2010. Google ScholarDigital Library
- S. Buzzi and H. V. Poor. Joint receiver and transmitter optimization for energy-efficient CDMA communications. IEEE Journal on Selected Areas in Communications, 26(3):459--472, 2008. Google ScholarDigital Library
- J. Cho and Z. J. Haas. On the Throughput Enhancement of the Downstream Channel in Cellular Radio Networks Through Multihop Relaying. IEEE Journal on Selected Areas in Communications, 22(7):1206--1219, September 2004. Google ScholarDigital Library
- Z. Chong and E. A. Jorswieck. Energy-efficient power control for MIMO time-varying channels. In IEEE Online Green Communications Conference, 2011.Google ScholarCross Ref
- A. Fehske, J. Malmodin, G. Biczók, and G. Fettweis. The Global Footprint of Mobile Communications--The Ecological and Economic Perspective. IEEE Communications Magazine, issue on Green Communications, pages 55--62, August 2011.Google Scholar
- D. Fudenberg and J. Tirole. Game Theory. MIT Press, 1993.Google Scholar
- D. Goodman and N. Mandayam. Power control for wireless data. IEEE Personal Communications, 7:48--54, 2000.Google ScholarCross Ref
- C. Isheden, Z. Chong, E. Jorswieck, and G. Fettweis. Framework for Link-Level Energy Efficiency Optimization with Informed Transmitter. IEEE Transactions on Wireless Communications, page (submitted), Oct. 2011.Google Scholar
- C. Isheden and G. P. Fettweis. Energy-efficient multi-carrier link adaptation with sum rate-dependent circuit power. In Proc. IEEE GLOBECOM 2010, Dec. 2010.Google ScholarCross Ref
- P. Jiang, J. Bigham, and J. Wu. Self-organizing Relay Stations in Relay Based Cellular Networks. Computer Communications, 31(13):2937--2945, 2008. Google ScholarDigital Library
- F. Meshkati, S. C. Schwartz, and H. V. Poor. Energy-Efficient Resource Allocation in Wireless Networks. IEEE Signal Processing Magazine, 24(3):58--68, 2007.Google ScholarCross Ref
- G. Miao, N. Himayat, G. Y. Li, and S. Talwar. Distributed Interference-Aware Energy-Efficient Power Optimization. IEEE Transactions on Wireless Communications, 10(4):1323--1333, April 2011.Google Scholar
- D. Monderer and L. Shapley. Potential games. Games and economic behavior, 14:124--143, 1996.Google Scholar
- R. Myerson. Game theory: analysis of conflict. Harvard Univ Pr, 1997.Google Scholar
- R.D.Yates. A framework for uplink power control in cellular radio systems. IEEE Journal on Selected Areas in Communications, 13(7):1341--1347, September 1995. Google ScholarDigital Library
- C. U. Saraydar, N. B. Mandayam, and D. J. Goodman. Pricing and Power Control in a Multicell Wireless Data Network. IEEE Journal on Selected Areas in Communications, 19(10):1883--1892, October 2001. Google ScholarDigital Library
- A. Zappone, S. Buzzi, and E. Jorswieck. Energy-Efficient Power Control and Receiver Design in Relay-Assisted DS/CDMA Wireless Networks via Game Theory. IEEE Communications Letters, 15(7):701--703, 2011.Google ScholarCross Ref
- A. Zappone, S. Buzzi, and E. Jorswieck. Green Power Control and Receiver Design in Relay-Assisted Interference Channel Wireless Networks: A Game-Theoretic Approach. In 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, Barcelona, Spain, October 2011. Google ScholarDigital Library
- S. Zhou, A. J. Goldsmith, and Z. Niu. On Optimal Relay Placement and Sleep Control to Improve Energy Efficiency in Cellular Networks. In International Conference on Communications, ICC 2011, Kyoto, Japan, June 2011.Google ScholarCross Ref
Index Terms
- Green resource allocation in relay-assisted multicarrier IC networks considering circuit dissipated power
Recommendations
Green power control and receiver design in relay-assisted interference channel wireless networks: a game-theoretic approach
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication TechnologiesGreen resource allocation for relay-assisted DS/CDMA interference channels is considered in this paper. A non-cooperative game-theoretic approach is taken, according to which each user is selfishly interested in maximizing his own energy efficiency, ...
Energy-Efficient Power Control for Multiple-Relay Cooperative Networks Using <inline-formula> <tex-math notation="TeX">$Q$</tex-math></inline-formula>-Learning
In this paper, we investigate the power control problem in a cooperative network with multiple wireless transmitters, multiple amplify-and-forward relays, and one destination. The relay communication can be either full duplex or half-duplex, and all ...
Cooperative resource allocation games in shared networks: symmetric and asymmetric fair bargaining models
Part 1The high cost associated with the rollout of 3G services encourages operators to share network infrastructure. Network sharing poses a new challenge in devising fair and Pareto optimal resource allocation strategies to distribute system resources among ...
Comments