4.6 Article

Delay-Aware and Energy-Efficient Resource Allocation for Reconfigurable Intelligent Surfaces

Journal

IEEE COMMUNICATIONS LETTERS
Volume 27, Issue 2, Pages 605-609

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2022.3226621

Keywords

Delays; Quality of service; Optimization; Measurement; Wireless networks; Resource management; Fading channels; RIS; IRS; EEE; statistical delay

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This letter proposes a novel framework to address the energy efficiency and latency issues in RIS-based communications for future 6G wireless networks. The framework maximizes the effective energy efficiency (EEE) metric through optimization of transmit powers and RIS phase shifts. Numerical results demonstrate improved system performance.
Reconfigurable intelligent surfaces (RISs) have emerged as one of the most promising techniques for future 6G wireless networks. However, the energy efficiency and the latency of RIS-based communications have not received enough attention. This letter proposes a novel framework that addresses this gap through the consideration of the effective energy efficiency (EEE) metric. EEE maximization is performed in a RIS-based multi-carrier link, with respect to the transmit powers and RIS phase shifts. Numerical results show that the proposed procedure improves the performance of the considered system.

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