Communication Dans Un Congrès Année : 2024

Sum-Rate Maximization of Symbiotic Multi-V2X MISO and Multi-RIS BackCom with Imperfections

Résumé

In this paper, we develop an optimization framework for the symbiotic operation of a primary multi-vehicle-toeverything (MV2X) communication network employing downlink communication and a secondary backscatter (BC) communication (BackCom) network of wireless-powered sensor equipped reflecting configurable surfaces (RISs), sharing the same spectrum. The secondary semi-passive RISs provide the multiple primary receivers with a spatial diversity gain and enable transmitting their own data to a designated IoT central system equipped with a BC reader. We develop an alternating optimization algorithm for resource allocation to maximize the sum-rate for mutually beneficial symbiotic radio operation. The presented simulation results demonstrate the superiority of the proposed optimization algorithm over conventional beamforming designs and fixed RIS reflection coefficient benchmarks.

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Dates et versions

hal-04910086 , version 1 (24-01-2025)

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Derek Kwaku Pobi Asiedu, Kofi Ofori-Amanfo, Mustapha Benjillali, Ji-Hoon Yun, Samir Saoudi. Sum-Rate Maximization of Symbiotic Multi-V2X MISO and Multi-RIS BackCom with Imperfections. 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Oct 2024, Washington, France. pp.1-5, ⟨10.1109/VTC2024-Fall63153.2024.10757468⟩. ⟨hal-04910086⟩
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