Dynamic Optimization for Resource Allocation in Relay-Aided OFDMA Systems Under Multiservice
Dynamic Optimization for Resource Allocation in Relay-Aided OFDMA Systems Under Multiservice
复制标题
DOI：
10.1109/tvt.2015.2410832
复制
发表时间：
2016-03
影响因子：
6.8
通讯作者：
Wei Li;Jing Lei;Tao Wang;Chun-lin Xiong;Jibo Wei
中科院分区：
文献类型：
--
作者：
Wei Li;Jing Lei;Tao Wang;Chun-lin Xiong;Jibo Wei
本文研究了协作OFDMA系统中使各移动站在不同业务下的平均效用最大化的动态资源分配问题。考虑时变衰落信道、MSs状态变化和中继站状态变化三种动态情况，提出了一种RA动态优化框架。此外，提出了一种基于离散粒子群优化（DPSO）的动态RA算法。利用相邻帧之间的相关性来提高动态RA算法的性能。仿真结果表明，在不同动态环境下，与现有算法相比，本文提出的动态算法在线性复杂度下取得了更好的性能，同时保证了适当程度的公平性。
This paper investigates the dynamic resource allocation (RA) problem in cooperative OFDMA systems to maximize the average utility of all mobile stations (MSs) under different services. We propose a dynamic optimization framework for RA by considering three dynamic situations: time-varying fading channel, MSs' change of states, and relay stations (RSs)' change of states. Moreover, a dynamic RA algorithm based on discrete particle swarm optimization (DPSO) is proposed. The correlation between the adjacent frames is exploited to improve the performance of the dynamic RA algorithm. Simulation results show that the proposed dynamic algorithm achieves better performance at linear complexity, compared with the existing algorithms under different dynamic environments, while guaranteeing fairness to a proper level.