Intelligent Optimization Algorithm for Solving D2D Communication Resource Allocation in Cellular Networks: A Review

Abstract

In the 5G and post-5G era, mobile data traffic is growing explosively, and cellular networks are facing huge pressure on spectrum resources.D2D communication, as an innovative communication mode, can effectively improve spectrum efficiency and system capacity, but its resource allocation problem is complex and critical. In recent years, intelligent optimization algorithms provide a powerful tool to solve this problem. In this paper, we comprehensively review the resource allocation methods for D2D communication in cellular networks, including those based on non-intelligent optimization algorithms (e.g., graph theory, hypergraph theory, game theory, machine learning, etc.) and those based on intelligent optimization algorithms. The advantages and limitations of various types of algorithms are analyzed, and the future research directions are prospected, aiming to provide valuable references for related research.