Multi-Objective Resource Allocation for IRS-Aided SWIPT
نویسندگان
چکیده
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, multi-antenna base station (BS) transmits energy signals simultaneously to multiple harvesting receivers (EHRs) decoding (IDRs) assisted by an IRS. Under setup, introduce multi-objective optimization (MOOP) framework investigate fundamental trade-off between data sum-rate maximization total harvested maximization, jointly optimizing energy/information beamforming vectors at BS phase shifts This MOOP problem is first converted single-objective (SOOP) via ?-constraint method then solved majorization minimization (MM) inner approximation (IA) techniques. Simulation results unveil non-trivial considered competing objectives, as well superior performance of proposed scheme compared various baseline schemes.
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ژورنال
عنوان ژورنال: IEEE Wireless Communications Letters
سال: 2021
ISSN: ['2162-2337', '2162-2345']
DOI: https://doi.org/10.1109/lwc.2021.3065844