Genetic Algorithm Based Channel Pattern Selection for Spatial Modulation Using Slots of Leaky Coaxial Cable

被引：1

作者：

Nagayama, Kenta ^{[1
]}

Kouda, Erika ^{[1
]}

Zhu, Junjie ^{[1
]}

Hou, Yafei ^{[1
]}

Denno, Satoshi ^{[1
]}

机构：

[1] Okayama Univ, Grad Sch Nat Sci & Technol, Okayama, Japan

来源：

2022 25TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC) | 2022年

关键词：

leaky coaxial cable; spatial modulation; genetic algorithm; MIMO CHANNEL;

D O I：

10.1109/WPMC55625.2022.10014813

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Leaky Coaxial (LCX) cable is a line-shaped antenna which utilizes huge number of slots to transmit or receive wireless signal. Due to its changeable shape and uniform, stable radiation characteristics along cable, LCX cable has been largely used for wireless coverage over many scenarios such as linear-cell environments and any irregular shape of coverage. In addition, by opening and closing (On/Off) partial slots, LCX cable can largely increase the total number of channel patterns, which means the huge capacity of spatial modulation (SM). However, due to large number of slots, it's difficult to find the efficient SM set to send B bits which includes 2(B) channel patterns with the largest Euclidean distance among all channel patterns. In this paper, we propose an efficient channel pattern selection based on genetic algorithm (GA) which shows better set distance than that of using random selection method.

引用

页数：5

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