Energy efficient resource allocation for re-configurable intelligent surface-assisted wireless networks

Bidabadi, S., Ahmed Ouameur, M., Bagaa, M. et Massicotte, D. (2023). Energy efficient resource allocation for re-configurable intelligent surface-assisted wireless networks. EURASIP Journal on Wireless Communications and Networking, 2023 (1). p. 89. ISSN 1687-1499 DOI 10.1186/s13638-023-02296-7

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Résumé

This paper focuses on energy-efficient resource allocation in reconfigurable intelligent surface (RIS)-assisted multiple-input-single-output (MISO) communication systems. Specifically, it revisits the solution to the energy efficiency (EE) problem using the alternating optimization (AO) approach. In each AO iteration, the RIS phase optimization is achieved using the gradient descent method, which unfortunately does not guarantee convergence. To overcome this limitation, we propose two alternatives: the Wolfe-based gradient-descent (GAW) EE maximization Algorithm and the trust region (TR)-based EE maximization algorithm. Additionally, we use Dinkelbach’s algorithm to obtain the optimal transmit power allocation. Our results demonstrate that the proposed methods outperform the existing approach that uses sequential fractional programming (SFP) for phase optimization and the traditional relay-based method.

Type de document:	Article
Mots-clés libres:	RIS-assisted Network Power allocation energy efciency RIS phase design
Date de dépôt:	22 juill. 2024 12:59
Dernière modification:	22 juill. 2024 12:59
Version du document déposé:	Version officielle de l'éditeur
URI:	https://depot-e.uqtr.ca/id/eprint/11381

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