Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications

Abstract

In this paper, we study a resource allocation problem in orthogonal frequency division multiple access (OFDMA)-based Device-to-Device (D2D) communications. To this end, we propose a multi-objective optimization problem (MOOP) framework, which jointly maximizes the sum rate of D2D users (DUs) and cellular users (CUs) in uplink communications and minimizes the total transmit power. The proposed problem formulation takes into account the minimum data-rates and the maximum transmitted power budget for both DUs and CUs. We transform this MOOP into a single-objective optimization problem (SOOP) using the weighted sum method and then propose an approach to solve this SOOP via a monotonic approach yielding an efficient optimal solution. Furthermore, a suboptimal solution based on the successive convex approximation (SCA) is presented to compromise complexity and performance gain. This is done to reveal that the proposed suboptimal solution closely approaches an optimal solution through simulation analysis. Numerical results unveil an interesting tradeoff between D2Ds CUs and demonstrate the superiority of our proposed solution compared to other baseline schemes.

Device to Device Communication Using Optimized Frequency Spectrum Reuse (OFSR) in Multi-Layered Cellular Network

“…The spectrum efficiency (SE) of the four mode were considered and their result shows that when interference is underlay mode is most appropriate but when self-interference is good, full duplex overlay mode is more applicable. Robust Multiobjective optimization in D2D underlaying heterogeneous network was studied by (Bayat et al, 2021). Joint optimization and power coordination algorithms were used.…”