基于距离和系统吞吐量最大化的D2D上行链路资源分配方案

终端直连(Device-to-Device，D2D)通信的研究主要关注的是蜂窝用户(Cellular User, CU)和D2D用户之间存在的干扰问题, 而解决该问题的方法是进行合理的资源分配，但以往的研究大都仅考虑D2D用户之间的通信质量或仅考虑CU用户的可靠性，却忽视了系统总吞吐量和资源复用效率的优化。本文基于D2D用户、CU用户和基站(Base Station, BS)三者间的通信距离，提出了一种资源分配方案，该方案能结合资源复用函数矩阵进行预分组和资源选择，综合降低CU用户对D2D用户的干扰(Cellular-to-D2D, C2D)和D2D用户对CU用户的干扰(D2D-to-Cellular, D2C)，同时保证CU用户和接入的D2D用户对都满足各自的通信服务质量(Quality-of-Service, QoS)要求。数值仿真结果表明，该方案与贪婪启发式算法相比，系统总吞吐量可以提升约4%，系统平均复用效率提高2倍以上。

Uplink Resource Allocation Scheme based on Distances and Maximized System Throughput for Device-to-Device Communications

The research on Device-to-Device (D2D) communication mainly focus on the interference between Cellular User (CU) and D2D users. Resource allocation is the main method to solve the problem. However, most of the previous studies only considered the communication quality of D2D users or the reliability of CU and ignored the total system throughput and the resource reuse efficiency. In this paper, we propose a resource allocation scheme based on the distance between D2D users, CU and Base Station (BS), which combines resource reuse function matrix for prepacking and resource selection. It comprehensively reduces the interference from CU to D2D users (C2D) and from D2D users to CU (D2C).At the same time, it ensures that both CU and D2D users meet their Quality-of-Service (QoS) requirements respectively. Compared with the greedy heuristic algorithm, numerical results show that this scheme can improve the total system throughput by about 4%, the average system reuse efficiency by more than 2 times.