Low-Latency D2D Pairing Strategy Based on Joint Attributes
Lin Zhao, Hui Song · 2023
D2D (Device-to-Device) communication is an essential part of future wireless communication technology, as it can alleviate the increasing demand for limited radio resources caused by communication services and enable effective content sharing between devices. In this paper, we propose a joint attribute evaluation framework that considers both supply and demand sides' differences in demand. The results demonstrate that our joint attribute evaluation framework has certain advantages over the traditional evaluation framework in terms of throughput and interruption probability. Then, based on this evaluation framework we propose a low-latency pairing algorithm that improves the delay pairing problem of the Gale-Shapley algorithm(GS algorithm) and achieves higher matching satisfaction gain with low time cost while maintaining similar throughput and global utility performance.