Signal Detection Algorithm of RIS-Assisted SIMO Communication System with Index Modulation

JING Xiaorong; MA Yudan; WAN Yu; CHEN Qianbin

doi:10.11999/JEIT211468

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2382-2391

JING Xiaorong, MA Yudan, WAN Yu, CHEN Qianbin. Signal Detection Algorithm of RIS-Assisted SIMO Communication System with Index Modulation[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2382-2391. doi: 10.11999/JEIT211468

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JING Xiaorong, MA Yudan, WAN Yu, CHEN Qianbin. Signal Detection Algorithm of RIS-Assisted SIMO Communication System with Index Modulation[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2382-2391. doi: 10.11999/JEIT211468

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Signal Detection Algorithm of RIS-Assisted SIMO Communication System with Index Modulation

doi: 10.11999/JEIT211468 cstr: 32379.14.JEIT211468

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61701062), Chongqing Research Program of Basic Research and Frontier Technology (cstc2019jcyj-msxmX0079)

Received Date: 2021-12-09
Rev Recd Date: 2022-03-16

Available Online: 2022-04-19

Publish Date: 2022-07-25

Abstract

Abstract

For the higher requirements of communication quality and spectrum efficiency in future wireless mobile communication systems, this paper combines Index Modulation (IM) and Reconfigurable Intelligent Surface (RIS) technologies to establish the RIS-assisted Single-Input Multiple-Output (SIMO) communication systems with IM, and the Variational Bayes Inference (VBI)-based signal detection algorithm is proposed. Firstly, in the system, the RIS units are divided into a number of sub-blocks, and the activation state of the RIS sub-block is used to transmit additional information. Then, the VBI is used to calculate the approximate posterior distribution of the phase shift vector corresponding to the activated RIS sub-block and the signal vector for detection. Finally, the index information bits are recovered by using the logarithmic zero gradient value of the approximate posterior distribution of the RIS phase shift vector combined with the Orthogonal Matching Pursuit (OMP) algorithm, and taking advantage of the logarithmic zero gradient value of the signal to be detected, the transmitted symbols are recovered. Meanwhile, the system average rate is theoretically deduced. The simulation results show that compared with the traditional RIS-assisted SIMO communication systems, the RIS -assisted SIMO systems with IM has a higher system average rate; and in contrast to existing algorithms, the proposed one has lower bit errors rate.
- Signal detection,
- Reconfigurable Intelligent Surface(RIS),
- Index Modulation(IM),
- Variational Bayes Inference(VBI)

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References(25)

References

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