期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 20, 期 2, 页码 741-754出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2020.3028198
关键词
Array signal processing; Wireless communication; Channel estimation; Modulation; Optimization; Receivers; Power system reliability; Reconfigurable intelligent surface (RIS); information transfer; metasurface; outage probability; passive beamforming; achievable rate; reflection modulation
资金
- Natural Science Foundation of Guangdong Province [2018B030306005]
- Pearl River Nova Program of Guangzhou [201806010171]
- open research fund of the National Mobile Communications Research Laboratory, Southeast University [2020D03]
- Fundamental Research Funds for the Central Universities [2019SJ02]
- Guangdong Provincial Key Laboratory of Short-Range Wireless Detection and Communication [2017B030314003]
- National Natural Science Foundation of China [61671213, 61671211]
- China Postdoctoral Science Foundation [2018M640781, 2019T120731]
- European Commission [675806]
In this paper, a system utilizing reconfigurable intelligent surfaces for passive beamforming and information transfer is proposed, with active and passive beamforming jointly optimized to maximize received signal power. A high-quality suboptimal solution is proposed based on Rician fading conditions and finite constellation assumptions, showing superior achievable rate compared to traditional RIS-assisted systems in simulation results.
Recent research on reconfigurable intelligent surfaces (RISs) suggests that RISs can perform passive beamforming and information transfer (PBIT) simultaneously via smart reflections. In this paper, we propose an RIS-enhanced multiple-input single-output system with reflection pattern modulation (RPM) to achieve PBIT, where the joint active and passive beamforming is carefully designed by taking into account the communication outage probability. We formulate an optimization problem to maximize the average received signal power by jointly optimizing the active beamforming at the access point (AP) and passive beamforming at the RIS under the assumption that the RIS's state information is statistically known by the AP, and propose a high-quality suboptimal solution based on the alternating optimization technique. Moreover, a closed-form expression for the asymptotic outage probability of the proposed scheme in Rician fading is derived. The achievable rate of the proposed scheme is also investigated under the assumption that the transmitted symbols are drawn from a finite constellation. Simulation results validate the effectiveness of the proposed scheme and reveal the effect of various system parameters on the achievable rate. It is shown that the proposed scheme outperforms, in terms of achievable rate, the conventional RIS-assisted system without information transfer.
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