Optimization Subcarrier Allocation and Genetic Algorithm for Resource Allocation in MIMO-OFDMA

被引:0
作者
Utami, A. R. [1 ]
Iskandar [1 ]
机构
[1] Bandung Inst Technol, Sch Elect Engn & Informat, Jalan Ganesha 10, Bandung, Indonesia
来源
2018 INTERNATIONAL SYMPOSIUM ON ELECTRONICS AND SMART DEVICES (ISESD 2018): SMART DEVICES FOR BIG DATA ANALYTIC AND MACHINE LEARNING | 2018年
关键词
MIMO; resource allocation; capacity; subcarrier allocation; genetic algorithm;
D O I
暂无
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
Resource Allocation is important to wireless communication, it has to allocation of signalling dimension between users in both uplink and downlink channel. In recent years, the user of wireless communication always increase day by day but the available spectrum is very limited. This paper will discussed about adaptive resource in MIMO based on subcarrier allocation (SA) and Genetic Algorithm (GA). The algorithm determines the number of subcarriers for each user and then handing over the subscriber to each user. Based on subcarrier allocation (SA), using SVD (Singular Value Decomposition) transform MIMO fading channel into an equivalent bank of parallel SISO (Single Input Single Output) subchannels. The new algorithm has lower complexity and with simulation can figure higher system capacity. The result showed with the algorithm can reduce the fairness and subcarrier allocation can provide capacity improvement.
引用
收藏
页码:127 / 130
页数:4
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