Dynamic Optimization for Resource Allocation in Relay-Aided OFDMA Systems Under Multiservice

被引：22

作者：

Li, Wei ^{[1
]}

Lei, Jing ^{[1
]}

Wang, Tao ^{[2
]}

Xiong, Chunlin ^{[1
]}

Wei, Jibo ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China

[2] Shanghai Univ, Sch Commun & Informat Engn, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200072, Peoples R China

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2016年 / 65卷 / 03期

基金：

高等学校博士学科点专项科研基金; 中国国家自然科学基金;

关键词：

Cooperative communication; discrete particle swarm optimization (DPSO); dynamic optimization; orthogonal frequency-division multiple access (OFDMA); relay; resource allocation (RA); utility function; SWARM OPTIMIZATION; PARTICLE SWARM; NETWORKS;

D O I：

10.1109/TVT.2015.2410832

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1303 / 1313

页数：11

共 30 条

[1]

[Anonymous], 802163C0129R1 IEEE

[2]

[Anonymous], 80216J IEEE

[3]

[Anonymous], 2007, 25814V700 3GPP TR

[4] Autoregressive modeling for fading channel simulation [J].