4.7 Article

RIS-Aided Zero-Forcing and Regularized Zero-Forcing Beamforming in Integrated Information and Energy Delivery

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 21, Issue 7, Pages 5500-5513

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2022.3141491

Keywords

Optimization; Throughput; Array signal processing; Resource management; Wireless communication; Fading channels; Symmetric matrices; Reconfigurable intelligent surface; transmit beamforming; conjugate beamforming; zero-forcing beamforming; trigonometric function optimization; concave programming

Funding

  1. Australian Research Councils Discovery Projects [DP190102501]
  2. Engineering and Physical Sciences Research Council (COALESCE) [EP/P034284/1, EP/P003990/1]
  3. European Research Council's Advanced Fellow Grant QuantCom [789028]

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This paper investigates a network architecture that combines a multi-antenna base station and a reconfigurable intelligent surface to provide information and power transmission to users. The authors propose a transmit-time switching approach to enable reliable connections for all users, optimizing energy links through conjugate beamforming and information links through programmable reflecting coefficients. They also introduce a path-following algorithm and a new beamforming method to enhance system performance.
This paper considers a network of a multi-antenna array base station (BS) and a reconfigurable intelligent surface (RIS) to deliver both information to information users (IUs) and power to energy users (EUs). The RIS links the connection between the IUs and the BS as there is no direct path between the former and the latter. The EUs are located nearby the BS in order to effectively harvest energy from the high-power signal from the BS, while the much weaker signal reflected from the RIS hardly contributes to the EUs' harvested energy. To provide reliable links for all users over the same time-slot, we adopt the transmit time-switching (transmit-TS) approach, under which information and energy are delivered over different time-slot fractions. This allows us to rely on conjugate beamforming for energy links and zero-forcing/regularized zero-forcing beamforming (ZFB/RZFB) and on the programmable reflecting coefficients (PRCs) of the RIS for information links. We show that ZFB/RZFB and PRCs can be still separately optimized in their joint design, where PRC optimization is based on iterative closed-form expressions. We then develop a path-following algorithm for solving the max-min IU throughput optimization problem subject to a realistic constraint on the quality-of-energy-service in terms of the EUs' harvested energy thresholds. We also propose a new RZFB for substantially improving the IUs' throughput.

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