Theoretical performance analysis assisted by machine learning for spatial permutation modulation (SPM) in slow-fading channels

Jhih Wei Shih, Jung Chun Chi, Yuan Hao Huang, Pei Yun Tsai, I. Wei Lai

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Based on spatial modulation (SM), spatial permu- tation modulation (SPM) has been recently proposed to enhance the performance of the multiple-input multiple-output (MIMO) system. SPM maps data bits to both the QAM symbol and permutation array. At successive time instants, different transmit antennas are activated according to the mapped permutation array to transmit the QAM symbol. In this work, the error rate of SPM in slow-fading channels is analyzed. The performance is first analyzed with the closed-form expression for the special case, and then is generalized to arbitrary cases by using the approximation of Gamma random variables. The machine learning algorithm is adopted to simplify the generalization and estimate the diversity. Through the analyses, we discover that by simply adding transmit antennas, the performance of SPM in slow-fading channels can be greatly enhanced due to the reduction of the time dependency. Numerical simulations demonstrate the accuracy of our analyses and show that by adding one transmit antenna, the time dependency can almost be removed, leading to around 3 dB SNR gain for the BER performance.

原文英語
主出版物標題2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(列印)9781538631805
DOIs
出版狀態已發佈 - 2018 七月 27
事件2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, 美国
持續時間: 2018 五月 202018 五月 24

出版系列

名字IEEE International Conference on Communications
2018-May
ISSN(列印)1550-3607

會議

會議2018 IEEE International Conference on Communications, ICC 2018
國家/地區美国
城市Kansas City
期間2018/05/202018/05/24

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電氣與電子工程

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