Executive Summary : | The rise in smart devices and the need for ubiquitous transmission has led to the introduction of Device-to-Device (D2D) communication, which improves throughput, spectrum efficiency, and reduces power consumption by reusing time-frequency resources with cellular users. This technology fulfills the demands of fifth-generation (5G) multimedia applications. However, underlay D2D communication introduces interference with cellular users, resulting in degradation of spectrum resource utilization. To address this, Reconfigurable Intelligent surface (RIs) technology is introduced, which mitigates interference, improves coverage, and enhances spectrum efficiency. RIs is a meta-surface constructed from passive reflecting elements that allows electromagnetic waves to impinge in a desired direction by controlling the phase shift of individual elements. This project aims to develop a RIs-aided D2D communication system for enhanced capacity, interference mitigation, and performance analysis in 5G and beyond networks. The proposed model groups D2D users based on proximity and aims to maximize the sum-rate of D2D users by jointly optimizing channel allocation, power allocation, and phase shift matrix. Interference mitigation around clustered D2D users is then performed using stochastic geometry in RIs-aided networks. The spectrum and energy efficiency for RIs-aided D2D communication will be analyzed using AI/ML techniques. The performance of RIs-aided D2D communication will be evaluated in terms of outage probability and ergodic achievable rate under different fading scenarios. Finally, a Test-Bed will be set-up to demonstrate D2D communication using software Defined Radio (sDR). |