Resource Sharing Optimization for Device-to-Device Communication Underlaying Cellular Networks

TLDR

Device‑to‑Device communication underlays cellular networks to enhance local services. The study seeks to maximize shared‑resource throughput while meeting prioritized cellular service constraints. The authors analyze optimal resource allocation and power control across various sharing modes under practical spectral efficiency and power constraints, and evaluate performance in single‑cell and Manhattan‑grid scenarios. The analysis reveals that optimal power control and resource allocation can be determined in closed form or from a finite set, and that proper resource management boosts total throughput while avoiding harmful interference to cellular networks.

Abstract

We consider Device-to-Device (D2D) communication underlaying cellular networks to improve local services. The system aims to optimize the throughput over the shared resources while fulfilling prioritized cellular service constraints. Optimum resource allocation and power control between the cellular and D2D connections that share the same resources are analyzed for different resource sharing modes. Optimality is discussed under practical constraints such as minimum and maximum spectral efficiency restrictions, and maximum transmit power or energy limitation. It is found that in most of the considered cases, optimum power control and resource allocation for the considered resource sharing modes can either be solved in closed form or searched from a finite set. The performance of the D2D underlay system is evaluated in both a single-cell scenario, and a Manhattan grid environment with multiple WINNER II A1 office buildings. The results show that by proper resource management, D2D communication can effectively improve the total throughput without generating harmful interference to cellular networks.