RIS-aided Zero-Forcing and Regularized Zero-Forcing Beamforming in Integrated Information and Energy Delivery
H. Yu, H. D. Tuan, E. Dutkiewicz, H. V. Poor, and L. Hanzo

TL;DR
This paper proposes a joint optimization framework for RIS-assisted multi-antenna networks that deliver both information and energy, using transmit time-switching and advanced beamforming techniques to enhance throughput and energy harvesting.
Contribution
It introduces a novel joint design of PRC optimization and beamforming for integrated information and energy delivery in RIS-assisted networks.
Findings
RZFB significantly improves IU throughput.
Iterative closed-form PRC optimization is effective.
Path-following algorithm ensures QoE for EUs.
Abstract
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…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks · Antenna Design and Analysis
