Subcarrier and power allocation based on game theory in uplink OFDMA systems

被引:0
|
作者
Yu D.-X. [1 ]
Cai Y.-M. [1 ]
Wu D. [1 ]
Zhong W. [1 ]
机构
[1] Institute of Communication and Engineering, PLAUST
关键词
Game theory; OFDMA; Power efficiency; Resource allocation;
D O I
10.3724/SP.J.1146.2008.00401
中图分类号
学科分类号
摘要
The main objective of the traditional OFDMA uplink resource allocation focuses on two aspects: one is to maximize the transmission rate of each user, the other is to minimize power. But both of them do not consider the power efficiency of each user. To deal with this problem, in this paper, a novel joint power and subcarrier allocation scheme in uplink OFDMA systems is proposed based on game theory. The goal is to maximize the power efficiency of each user under peak power constraint. For the purpose, the necessary condition for optimality using Karush-Kuhn-Tucker condition is drawn and the existence of the Nash Equilibrium of the function is proved. Then the subcarrier and power allocation algorithm is showed. The simulation results show that the power efficiency of the proposed algorithm increases greatly over that of the MaxRt+WF (Maximal marginal Rate subcarrier and WaterFilling power allocation), which is the optimal algorithm to derive the maximal transmission rate, and MaxFA+WF (Fixed subcarrier Allocation and Water Filling power allocation). Meanwhile, if the pricing fact is properly chosen which the number is five in the simulation model, the sum of power efficiency can be maximized.
引用
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页码:775 / 780
页数:5
相关论文
共 10 条
  • [1] Wong C.Y., Cheng R.S., Letaief K.B., Murch R.D., Multiuser OFDM with adaptive subcarrier, bit and power allocation, IEEE Journal of Selected Aeras Communications, 10, 17, pp. 1747-1757, (1999)
  • [2] Jang J., Lee K.B., Transmit power adaptation for multiuser OFDM systems, IEEE Journal of Selected Aeras Communications, 2, 21, pp. 171-178, (2003)
  • [3] Han S., Kim S., Oh E., Hong D., Adaptive resource allocation with rate proportionality tracking in OFDMA systems, IEEE 65th Vehicular Technology Conference, 4, pp. 3031-3035, (2007)
  • [4] Wang L., Xue Y.-S., Schulz E., Resource allocation in multicell OFDM systems based on noncooperative game, IEEE 17th Personal, Indoor and Mobile Radio Communications, 9, pp. 1-5, (2006)
  • [5] Kim K.-Y., Han Y.-N., Kim S.-L., Joint subcarrier and power allocation in uplink OFDMA systems, IEEE Communications Letter, 6, 9, pp. 526-528, (2005)
  • [6] Han Z., Ji Z., Liu K.J.R., Power minimization for multi-cell OFDM networks using distributed non-cooperative game approach, IEEE Globecom, 5, pp. 3742-3747, (2004)
  • [7] Yang L.-G., He Z.-Q., Wang L., A new utility based subcarrier and power joint allocation scheme in uplink OFDMA systems, IEEE 65th Vehicular Technology Conference, 4, pp. 2756-2760, (2007)
  • [8] Saraydar C.U., Mandayam N.B., Goodman D.J., Efficient power control via pricing in wireless data networks, IEEE Transactions on Communications, 50, 2, pp. 291-303, (2002)
  • [9] Shan V., Mandayam N.B., Goodman D.J., Power control for wireless data based on utility and pricing, Proc. PIMRC, pp. 1427-1432, (1998)
  • [10] Yu D.-X., Cai Y.-M., Zhong W., A novel distributed power control algorithm in CDMA systems: A game theoretic approach, Journal of Electronics & Information Technology, 30, 2, pp. 443-446, (2008)