RIS-assisted differential transmitted spatial modulation design

IF 3.4 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Chaorong Zhang, Yuyan Liu, Benjamin K. Ng, Chan-Tong Lam
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引用次数: 0

Abstract

In this paper, we propose a novel reconfigurable intelligent surface (RIS)-assisted wireless communication design called the RIS-assisted differential transmitted spatial modulation (DTSM) scheme. The encoding process of the differential spatial modulation (DSM) is integrated into the DTSM scheme, where only one transmit antenna is activated per time slot to transmit the M-ary phase shift keying (PSK) modulation symbol through the RIS. Due to the detection characteristics of DSM, the bit error rate (BER) performance remains satisfactory without requiring channel state information estimation, thereby enhancing robustness. The RIS application in the proposed scheme mitigates the effects of shadow area fading by adjusting the phase of the reflected signals to improve the signal-to-noise ratio at the receiver. In simulation results by comparing to other RIS-assisted spatial modulation schemes, we can find that the proposed DTSM scheme demonstrates good BER performance across various scenarios, including Nakagami-m fading, which also indicates its potential for practical applications.
ris辅助差分传输空间调制设计
在本文中,我们提出了一种新的可重构智能表面(RIS)辅助无线通信设计,称为RIS辅助差分传输空间调制(DTSM)方案。将差分空间调制(DSM)的编码过程集成到DTSM方案中,每个时隙只激活一个发射天线,通过RIS传输M-ary相移键控(PSK)调制符号。由于DSM的检测特性,在不需要信道状态信息估计的情况下,保持了令人满意的误码率性能,从而增强了鲁棒性。在该方案中,RIS通过调整反射信号的相位来减轻阴影区域衰落的影响,从而提高接收机的信噪比。仿真结果表明,与其它ris辅助空间调制方案相比,本文提出的DTSM方案在包括Nakagami-m衰落在内的各种场景下均具有良好的误码率性能,具有较好的实际应用潜力。
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来源期刊
Signal Processing
Signal Processing 工程技术-工程:电子与电气
CiteScore
9.20
自引率
9.10%
发文量
309
审稿时长
41 days
期刊介绍: Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing. Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.
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