Optimizing 5G Power Allocation with Device-to-Device Communication: A Gale-Shapley Algorithm Approach

The increasing need for dependable and quick data transfer necessitates the development of creative methods for network resource optimization.  This study explores a novel approach to improve 5G cellular systems' power allocation and throughput.  Through direct terminal connections utilizing the Device-to-Device protocol and a modified Gale-Shapley algorithm, we hope to save resources and guarantee top-tier connectivity.  The robustness of our method is examined in two situations: first, in typical 5G operations that aim to maximize signal dependability while minimizing energy consumption, assessing factors such as capacity, gain, transmitter-to-receiver proximity, and losses using the Gale-Shapley algorithm.  Second, we model a network breakdown brought on by a disaster, when D2D devices connect on their own without the assistance of operational base stations. Our results from thorough MATLAB simulations demonstrate that D2D communications in the Millimeter Wave frequency band reliably maintain relationships, with network capacity rates ranging from 110 to 140 Mbps in disaster situations and 150 to 180 Mbps in normal circumstances. This demonstrates how our method could greatly improve the performance and dependability of 5G systems.

Keywords—Device-to-device (D2D), Gale-Shapley matching theory, non-orthogonal multiple access (NOMA), power allocation, 5G.