Performance Evaluation of Transmission Mode Selection in D2D communication
Iacovos Ioannou, Christophoros Christophorou, Vasos Vassiliou, Andreas, Pitsillides

TL;DR
This paper evaluates a transmission mode selection approach in D2D communication, demonstrating how threshold tuning and power control can significantly enhance spectral efficiency and reduce power consumption in 5G networks.
Contribution
It provides a detailed analysis of an AI-based transmission mode selection method, including formulas, threshold effects, and their impact on network performance.
Findings
Optimal threshold tuning improves spectral efficiency.
Power control reduces overall power consumption.
Threshold and power adjustments significantly enhance network performance.
Abstract
Device to Device (D2D) Communication is expected to be a core part of the forthcoming 5G Mobile Communication Networks as it promises improvements in energy efficiency, spectral efficiency, overall system capacity, and higher data rates with the use of the same frequencies for different D2D transmissions in short communication distances within the Cell. However, in order to achieve optimum results, it is important, among others, to select wisely the Transmission Mode of the D2D Device. Towards this end, our previous work proposed an intelligent Transmission mode selection approach in a framework that is utilizing Artificial Intelligence (AI) BDIx agents to collectively satisfy the D2D challenges in a Distributed Artificial Intelligent (DAI) manner autonomously and independently. In this paper, as a first step, a literature review focused on related Transmission mode approaches, is…
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