RIS-Based Self-Interference Cancellation for Full-Duplex Broadband Transmission

被引:4
作者
Wu, Jiayan [1 ]
Cheng, Wenchi [1 ]
Wang, Jianyu
Wang, Jingqing
Zhang, Wei
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xidian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
Interference cancellation; Wireless communication; Receiving antennas; OFDM; Broadband communication; Optimization; Transmitting antennas; Reconfigurable intelligent surface (RIS); full-duplex (FD); self-interference cancellation (SIC); near-field; orthogonal frequency division multiplexing (OFDM); COMMUNICATION-SYSTEMS; POWER-CONTROL; DESIGN; MIMO; RADIO;
D O I
10.1109/TWC.2023.3337787
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Full-duplex (FD) is an attractive technology that can significantly boost the throughput of wireless communications. However, it is limited by the severe self-interference (SI) from the transmitter to the local receiver. In this paper, we propose a new SI cancellation (SIC) scheme based on reconfigurable intelligent surface (RIS), where small RISs are deployed inside FD devices to enhance SIC capability and system capacity under frequency-selective fading channels. The novel scheme can not only address the challenges associated with SIC but also improve the overall performance. We first analyze the near-field behavior of the RIS and then formulate an optimization problem to maximize the SIC capability by controlling the reflection coefficients (RCs) of the RIS and allocating the transmit power of the device. The problem is solved with alternate optimization (AO) algorithm in three cases: ideal case, where both the amplitude and phase of each RIS unit cell can be controlled independently and continuously, continuous phases, where the phase of each RIS unit cell can be controlled independently, while the amplitude is fixed to one, and discrete phases, where the RC of each RIS unit cell can only take discrete values and these discrete values are equally spaced on the unit circle. For the ideal case, the closed-form solution to RC is derived with Karush-Kuhn-Tucker (KKT) conditions. Based on Riemannian conjugate gradient (RCG) algorithm, we optimize the RC for the case of continuous phases and then extend the solution to the case of discrete phases by the nearest point projection (NPP) method. Simulation results are given to validate the performance of our proposed SIC scheme.
引用
收藏
页码:7159 / 7171
页数:13
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