Work

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

Year: 2024

Type: conference-paper

Abstract: In this paper, we develop an optimization framework for the symbiotic operation of a primary multi-vehicle-to-everything (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.

Source: IEEE Vehicular Technology Conference

DOI: 10.1109/vtc2024-fall63153.2024.10757468

Authors: Derek K. P. Asiedu, Kofi A. Ofori-Amanfo, Mustapha Benjillali, Ji-Hoon Yun, Samir Saoudi

Institutions: Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance, IMT Atlantique, Seoul National University of Science and Technology, Institut National des Postes et Télécommunications

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4406267789

FWCI: 1.612

Cites:

Cited by: 2

Related to: 10