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Multi-Objective resource allocation for irs-aided swipt

Khalili, A ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1109/LWC.2021.3065844
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2021
  4. Abstract:
  5. In this letter, we study the resource allocation for a multiuser intelligent reflecting surface (IRS)-aided simultaneous wireless information and power transfer (SWIPT) system. Specifically, a multi-antenna base station (BS) transmits energy and information signals simultaneously to multiple energy harvesting receivers (EHRs) and information decoding receivers (IDRs) assisted by an IRS. Under this setup, we introduce a multi-objective optimization (MOOP) framework to investigate the fundamental trade-off between the data sum-rate maximization and the total harvested energy maximization, by jointly optimizing the energy/information beamforming vectors at the BS and the phase shifts at the IRS. This MOOP problem is first converted to a single-objective optimization problem (SOOP) via the $epsilon $ -constraint method and then solved by majorization minimization (MM) and inner approximation (IA) techniques. Simulation results unveil a non-trivial trade-off between the considered competing objectives, as well as the superior performance of the proposed scheme as compared to various baseline schemes. © 2012 IEEE
  6. Keywords:
  7. Antennas ; Energy harvesting ; Energy transfer ; Multiobjective optimization ; Resource allocation ; Wireless power transfer ; Constraint methods ; Energy and information ; Energy maximization ; Information and power transfers ; Information decoding ; Reflecting surface ; Single objective optimization problems ; Sum-rate maximizations ; Economic and social effects
  8. Source: IEEE Wireless Communications Letters ; Volume 10, Issue 6 , 2021 , Pages 1324-1328 ; 21622337 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9377479