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保证公平的最大化OFDMA系统容量策略
引用本文:孙明,曹伟,李大辉,马志晟.保证公平的最大化OFDMA系统容量策略[J].控制与决策,2020,35(5):1175-1182.
作者姓名:孙明  曹伟  李大辉  马志晟
作者单位:齐齐哈尔大学计算机与控制工程学院,黑龙江齐齐哈尔,161006
基金项目:国家自然科学基金项目(61872204,61672304,71803095);黑龙江省自然科学基金项目(F2015025).
摘    要:针对正交频分多址系统中容量与公平之间的矛盾,提出在子载波分配中兼顾公平、在功率分配中保证公平度门限的最大化系统容量策略.该策略首先将现有子载波方法与匈牙利算法结合,在优先最大化系统容量的基础上兼顾公平;然后利用基于公平度门限的人工蜂群功率分配算法,在优先保证公平度门限的基础上最大化系统容量.实验结果表明:该策略的子载波分配方法能够最大化系统容量并兼顾用户的公平,可实现系统容量和用户公平度的同时提升;该策略的人工蜂群功率分配方法具有较好的稳健性和全局寻优能力,即使在用户数较大时也能够实现所要求的公平度门限并最大化系统容量.研究结果验证了所提出策略的有效性.

关 键 词:资源分配  匈牙利算法  人工蜂群  容量  公平

Strategy of maximizing capacity of OFDMA system for ensuring fairness
SUN Ming,CAO Wei,LI Da-hui and MA Zhi-sheng.Strategy of maximizing capacity of OFDMA system for ensuring fairness[J].Control and Decision,2020,35(5):1175-1182.
Authors:SUN Ming  CAO Wei  LI Da-hui and MA Zhi-sheng
Affiliation:College of Computer and Control Engineering,Qiqihar University,Qiqihar161006,China,College of Computer and Control Engineering,Qiqihar University,Qiqihar161006,China,College of Computer and Control Engineering,Qiqihar University,Qiqihar161006,China and College of Computer and Control Engineering,Qiqihar University,Qiqihar161006,China
Abstract:In order to solve the contradiction between capacity and fairness in orthogonal frequency division multiple access(OFDMA) systems, this paper proposes a strategy of maximizing the system capacity by considering fairness during the subcarrier allocation and ensuring fairness threshold during the power allocation. The proposed strategy firstly combines the current subcarrier method with Hungarian algorithm to preferentially maximize the system capacity and then take into account fairness among users. After that, a fairness threshold based artificial bee colony algorithm for power allocation is applied to preferentially ensure fairness threshold and then maximize the system capacity. The experimental results show that the subcarrier allocation method of the proposed strategy can not only maximize the system capacity and consider fairness among users, but also improve both the system capacity and fairness among users at the same time, and that the artificial bee colony power allocation method of the proposed strategy has better robustness and global optimization ability, and can achieve the required fairness threshold and maximize the system capacity even when the number of users is larger. The study results verity the effectiveness of the proposed strategy.
Keywords:resource allocation  Hungarian algorithm  artificial bee colony  capacity  fairness
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