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能量有效的多小区OFDMA下行链路资源分配算法
引用本文: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, 0(3): 419-423. DOI: 10.11830/ISSN.1000-5013.201703024
作者姓名:杨清晓  陈东华
作者单位:华侨大学 信息科学与工程学院, 福建 厦门 361021
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.

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

Energy Efficient Resource Allocation Algorithm for Multi-Cell OFDMA Downlink Systems
YANG Qingxiao,CHEN Donghua. Energy Efficient Resource Allocation Algorithm for Multi-Cell OFDMA Downlink Systems[J]. Journal of Huaqiao University(Natural Science), 2017, 0(3): 419-423. DOI: 10.11830/ISSN.1000-5013.201703024
Authors:YANG Qingxiao  CHEN Donghua
Affiliation:College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
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.
Keywords:energy efficiency  orthogonal frequency division multiple access  nash equilibrium  potential game  resource allocation
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