Optimal Resource Allocation for Public Safety Device to Device Communication Using PSO

Abstract

The Device to Device (D2D) communication allows two different devices in close proximity to communicate directly among themselves without relaying through the base stations (eNodeB or eNB). The D2D communication offloads the traffic from eNB and thus, has many advantages, including higher throughput and less end-to-end delay. Though the PSC was basically invented for Public Safety Communication (PSC) and to help the first responders, its distinct advantages have attracted other commercial applications as well. The eNB treats all the D2D applications equally during resource allocation and does a uniform resource allocation where one application is engaged in commercial activities. At the same time, the other saves one’s life. Thus, in this work authors proposed a novel optimized resource allocation algorithm for D2D applications which prioritizes PSC over commercial applications. In order to achieve the objective, Particle Swarm Optimization (PSO) technique was employed in the proposed work. Furthermore, a new weighted average fitness function was designed for PSO to suit the requirements. The proposed algorithm was simulated in NS-3, and the results were taken for different iterations. It was observed that the PSO algorithm for the designed fitness function achieved the local and global optimum values in a considerable amount of time. It was apparent from the results that PSC D2D pairs produced convincing results when compared to D2D pairs with commercial applications. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.