TY - GEN
T1 - Genetic Algorithm Based Channel Pattern Selection for Spatial Modulation Using Slots of Leaky Coaxial Cable
AU - Nagayama, Kenta
AU - Kouda, Erika
AU - Zhu, Junjie
AU - Hou, Yafei
AU - Denno, Satoshi
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by the JSPS KAKENHI Grand Number 20K04484, the GMO Internet Foundation and the Telecommunications Advancement Foundation (TAF).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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 2B 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.
AB - 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 2B 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.
KW - genetic algorithm
KW - leaky coaxial cable
KW - spatial modulation
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U2 - 10.1109/WPMC55625.2022.10014813
DO - 10.1109/WPMC55625.2022.10014813
M3 - Conference contribution
AN - SCOPUS:85147027710
T3 - International Symposium on Wireless Personal Multimedia Communications, WPMC
SP - 221
EP - 225
BT - 2022 25th International Symposium on Wireless Personal Multimedia Communications, WPMC 2022
PB - IEEE Computer Society
T2 - 25th International Symposium on Wireless Personal Multimedia Communications, WPMC 2022
Y2 - 30 October 2022 through 2 November 2022
ER -