D2D通信中高能效的资源分配算法研究

摘要

D2D can greatly improve the scarcity of spectrum resources,but it also introduces complex same frequency interference.In this paper,we propose multiple D2D models to share the same wireless resources at the same time,and achieve the goal of maximizing the energy efficiency of D2D communication systems under the requirements of minimum spectrum efficiency.We propose a new wireless resource management algorithm.Firstly,in order to simplify the interference model,the clustering algorithm is used to complete the grouping of D2D users.Secondly,the generalized fractional programming theory is used to convert the fractional form objective optimization problem into the reduced optimization problem.Finally,we propose an efficient power control algorithm and an iterative algorithm for subcarrier allocation.Numerical simulation results show that the proposed algorithm can significantly improve the energy efficiency of D2D communication systems under the constraint of spectrum efficiency,and has good convergence.%D2D(Device-to-Device)能够大幅度改善频谱资源匮乏问题,但同时也引入了复杂的同频干扰.提出多个D2D对同时共用相同的无线资源的模型,在满足最小频谱效率的要求下,达到最大化D2D通信系统能效的目标.提出一个新颖的无线资源管理算法:首先,为简化干扰模型,通过分簇算法完成对D2D用户的分组;然后利用广义分式规划理论将分式形式的目标优化问题等价转换为减式优化问题;最后,提出一个高效的功率控制和子载波分配的迭代算法.数值仿真结果显示,该算法在保证频谱效率的约束下,能够显著提高D2D通信系统的能效,并且具有很好的收敛性.