Improving QoS and Reducing Transmit Power in Wireless Ad Hoc Networks by Distributed Power Control Using SINR and Transmit Power Pricing Functions
Subject Areas : electrical and computer engineeringR. Haratian 1 , A. R. Sharafat 2
1 - Tarbiat Modares University
2 - Tarbiat Modares University
Keywords: Ad hoc networks game theory power control pricing,
Abstract :
We propose a scheme for improving QoS and reducing transmit power in wireless ad hoc networks by utilizing the signal-to-interference-plus-noise-ratio (SINR) and a pricing function that is proportional to the transmit power of each user. The performance of our proposed method is analyzed by using game theory, where each user’s quality of service is a function of its SINR. The utility function for each user is defined by its desired SINR minus a pricing to provide adequate incentive for each user to choose its power level in such a way to maximize the aggregate of all users’ utilities (total network utility) instead of selfishly maximizing its own SINR. Simulation results show that the performance of the network is improved while the total power consumption is reduced.
[1] M. S. Alouini and A. J. Goldsmith, "Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques," IEEE Trans. Vehic. Tech., vol. 48, no. 4, pp. 1165-81, Jul. 1999.
[2] N. Bambos, "Toward power - sensitive network architectures in wireless communications: concepts, issues, and design aspects," IEEE Pers. Commun. Magazine, vol. 5, no. 3, pp. 50-59, Jun. 1998.
[3] V. Kawadia and P. R. Kumar, "Principles and protocols for power control in wireless ad hoc networks," IEEE J. Selected Areas in Commun., vol. 23, no. 1, pp. 76-88, Jan. 2005.
[4] A. B. Mackenzie and S. B. Wicker, "Game theory in communications: motivation, explanation and application to power control," in Proc. IEEE Global Telecom. Conf., vol. 2, pp. 821-826, San Antonio, TX, US, 25-29 Nov. 2001.
[5] J. Huang, R. A. Berry, and M. L. Honig, "Distributed interfrence compensation for wireless networks," IEEE J. Selected Areas in Commun., vol. 24, no. 5, pp. 1074-1084, May 2006.
[6] N. Feng, S. Mau, and N. B. Mandayam, "Pricing and power control for joint network - centric and user - centric radio resource management," IEEE Trans. on Comm., vol. 52, no. 9, pp. 1547-1557, Sep. 2004.
[7] M. Rasti, A. R. Sharafat, and B. Seyfe, "Pareto efficient and goal driven power control in wireless networks: a game theoretic approach with a novel pricing scheme," IEEE/ACM Trans. on Networking, vol. 17, no. 2, pp. 556-569, Apr. 2009.
[8] C. Liang and K. Dandekar, "Power management in MIMO ad hoc networks: a game - theoretic approach," IEEE Trans. on Wireless Communications, vol. 6, no. 4, pp. 1164-1170, Apr. 2007.
[9] M. Chiang, "Balancing transport and physical layers in wireless multihop networks: jointly optimal congestion control and power control," IEEE J. on Selected Areas in Communications, vol. 23, no. 1, pp. 104-116, Jan. 2006.
[10] V. Sirvastava, J. Neel, A. B. Mackenzie, R. Menon, L. A. Dasilva, J. E. Hicks, J. H. Reed, and R. P. Gilles, "Using game theory to analyze wireless ad hoc networks," IEEE Communications Surveys and Tutorials, vol. 7, no. 4, pp. 46-56, Fourth Quarter 2005.
[11] M. Xio, N. B. Shroff, and E. K. Chong, "A utility-based power-control scheme in wireless cellular systems," IEEE/ACM Trans. on Networking, vol. 11, no. 2, pp. 210-221, Apr. 2003.
