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Weighted Sum Rate Optimization for STAR-RIS-Assisted MIMO System
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DOI：10.1109/TVT.2021.3131568.png)
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Abstract
En 中文
In this work, we study a simultaneous transmitting and reflecting reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output network. For the system under consideration, we maximize the weighted sum rate, mainly based on the energy splitting (ES) scheme. To tackle this optimization problem, a sub-optimal block coordinate descent (BCD) algorithm is proposed to design the precoding matrices and the transmitting and reflecting coefficients (TRCs) in an alternate manner. Specifically, the precoding matrices are solved using the Lagrange dual method, while the TRCs are obtained using the constrained concave-convex procedure (CCCP). The simulation results reveal that: 1) Simultaneous transmitting and reflecting RIS (STAR-RIS) can achieve better performance than conventional reflecting/transmiting-only RIS; 2) In unicast communication, time switching (TS) scheme outperforms the ES and mode selection (MS) schemes, while in broadcast communication, ES scheme outperforms the TS and MS schemes.
Keywords:
Protocols
Precoding
Optimization
MIMO communication
Unicast
Wireless communication
Switches
Reconfigurable intelligent surfaces
simultaneously transmitting and reflecting
block coordinate descent
constrained concave-convex procedure
Journal
IF:
7.1
Papers:
1.8W
Citations:
6.6W
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