[1]杨清晓,陈东华.能量有效的多小区OFDMA下行链路资源分配算法[J].华侨大学学报(自然科学版),2017,38(3):419-423.[doi:10.11830/ISSN.1000-5013.201703024]
　YANG Qingxiao,CHEN Donghua.Energy Efficient Resource Allocation Algorithm for Multi-Cell OFDMA Downlink Systems[J].Journal of Huaqiao University(Natural Science),2017,38(3):419-423.[doi:10.11830/ISSN.1000-5013.201703024]
点击复制

能量有效的多小区OFDMA下行链路资源分配算法()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第3期
页码:
419-423
栏目:
出版日期:
2017-05-20

文章信息/Info

Title:
Energy Efficient Resource Allocation Algorithm for Multi-Cell OFDMA Downlink Systems
文章编号:
1000-5013(2017)03-0419-05
作者:
杨清晓;  陈东华
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
YANG Qingxiao;  CHEN Donghua
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
能量效率;  正交频分多址;  纳什均衡;  潜在博弈;  资源分配
Keywords:
energy efficiency;  orthogonal frequency division multiple access;  nash equilibrium;  potential game;  resource allocation
分类号:
TN92
DOI:
10.11830/ISSN.1000-5013.201703024
文献标志码:
A
摘要:
为了实现多小区正交频分多址(OFDMA)下行链路资源动态分配,采用非合作博弈给出多小区OFDMA子信道分配和功率分配的联合博弈模型,各小区以最大化能量效率为目标实现资源动态分配.由于最优子信道和功率联合分配是NP-hard问题,为了求解联合博弈问题,首先,将其分解为子信道分配和功率分配2个子问题,然后,采用干扰信道增益比最小准则实现子信道分配,在此基础上,利用非合作博弈实现功率分配.理论分析显示:该博弈模型可表达为潜在博弈,从而保证了非合作博弈收敛于纳什均衡解.仿真结果表明:算法性能良好,虽然一定程度上降低了传输速率,但获得了较高的能量效率,实现了能量效率和传输速率折中.
Abstract:
In order to achieve the downlink dynamic resources allocation of multi-cell OFDMA systems, the joint sub-channel allocation and power allocation are modeled as a non-cooperative game, with each cell aiming at maximizing energy efficiency to realize dynamic resource allocation. However, the problem of joint sub-channel allocation and power allocation is NP-hard, in order to solve this problem, we firstly decouple it into two sub-problems: sub-channel allocation and power allocation, and then we designate sub-channels to minimize the ratio of interference to channel gain, and allocate the power using the non-cooperative game model, respectively. The theoretical derivation show that the game can be expressed as a potential game, thus ensuring the non-cooperative game converges to the Nash equilibrium. Simulation results show that the proposed resource allocation algorithms are effective in increasing the network energy efficiency. Although there is a little reduction in the transmission rate, a tradeoff between energy efficiency and transmission rate is achieved.

参考文献/References:

[1] CHARILAOS C,ZARAKOVITIS,QIANG Ni.Energy efficient designs for communication systems: Resolutions on inverse resource allocation principles[J].IEEE Communications Letters,2013,17(12):2264-2267.
[2] WANG Yan,XU Wenjun,YANG Kewen,et al.Optimal energy-efficient power allocation for OFDM-based cognitive radio networks[J].IEEE Communications Letters,2012,9(16):1420-1423.
[3] FUDENBERG D,TIROLE J.Game theory[M].Cambridge:MIT Press,1991:1-44.
[4] BACCI G,SANGUINETTI L,LUISE M,et al.A game-theoretic approach for energy-efficient contention-based synchronization in OFDMA systems[J].IEEE Transactions on Signal Processing,2013,61(5):1258-1271.
[5] SHEN Siduo,LOK T M.Dynamic power allocation for downlink interference management in a two-tier OFDMA network[J].IEEE Transactions on Vehicular Technology,2013,62(8):4120-4125.
[6] LA Q D,CHEW Y H,SOONG B H.Performance analysis of downlink multi-cell OFDMA systems based on potential game[J].IEEE Transactions on Wireless Communications,2012,11(9):3358-3367.
[7] BUZZI S,COLAVOLPE G,SATURNINO D,et al.Potential games for energy-efficient power control and subcarrier allocation in uplink multicell OFDMA systems[J].IEEE Journal of Selected Topics in Signal Processing,2012,6(2):89-103.
[8] XU Chao,SHENG Min,YANG Chungang,et al.Pricing-based multiresource allocation in OFDMA cognitive radio networks: An energy efficiency perspective[J].Transactions on Vehicular Technology,2014,63(5):2336-2348.
[9] GAREY M R,JOHNSON D S.Computers and intractability: A guide to the theory of NP-completeness[M].San Francisco:Bell Telephone Laboratories,1979:14-44.
[10] LIU Hui,ZHENG Wei,ZHANG Haijun,et al.An iterative two-step algorithm for energy efficient resource allocation in multi-cell OFDMA networks[C]//Wireless Communications and Networking Conference(WCNC).Shanghai:IEEE Press,2013:608-613.
[11] ZHANG Zhicai,ZHANG Haijun,LU Zhaoming,et al.Energy-efficient resource optimization in OFDMA-based dense femtocell networks[C]//20th International Conference on Telecommunications.Casablanca:IEEE Press,2013:1-5.

备注/Memo

备注/Memo:
收稿日期: 2014-07-21
通信作者: 陈东华(1977-),男,副教授,博士,主要从事宽带无线通信、无线网络资源管理的研究.E-mail:dhchen@hqu.edu.cn.
基金项目: 福建省自然科学基金资助项目(2012J05119); 华侨大学高层次人才科研启动项目(12BS230)
更新日期/Last Update: 2017-05-20