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Energy-Efficient Resource Allocation in RIS-Based 6G Networks
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AI
DOI：10.1002/net.70048.png)
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Abstract
En 中文
Reconfigurable Intelligent Surface (RIS) is emerging as a potential solution for Tera Hertz communication. It supports a re-configurable and smart wireless environment by enhancing the signal strength and reflecting it to the desired receiver which aids in improving energy efficiency. This article presents a novel mathematical framework of a mixed integer nonlinear programming (MINLP) problem to maximize the energy efficiency (EE) of a RIS-based multi-user network having a multi-antenna base station (BS). The formulated problem is a concave fractional programming problem (CFP) which is transformed into a concave program using the proposed Charnes-Cooper transformation (CCT). MINLP problems are generally NP-hard in nature and their complexity increases with the number of users, therefore, an outer approximation algorithm (OAA) is applied which gives.
Keywords:
Charnes-Cooper Transformation
concave fractional programming
energy efficiency
outer approximation algorithm
reconfigurable intelligent surfaces
throughput
Journal
N
IF:
1.3
Papers:
49
Citations:
3.4K
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