基于NOMA增强的D2D系统联合资源分配算法

Jiont Resource Allocation Algorithm Based on NOMA Enhanced D2D System

非正交多址接入(Non-Orthogonal Multiple Access,NOMA)技术与设备到设备(Device-to-Device,D2D)通信技术相结合在实现高效频谱利用率和大规模接入上有着突出的优势。针对现有的NOMA-D2D系统存在的信道分配模式单一和D2D组内功率分配难以获得最优解的问题,构建了以D2D组和速率为优化目标的联合资源分配算法的方案:首先,在子信道分配上,将问题转换为双边匹配问题,提出了一种基于多对一场景下的D2D组信道分配算法;然后运用基于逐次凸逼近的凸差分(Difference of two Convex functions,DC)编程方法求出接近最优的功率分配值。仿真结果表明,提出的多对一场景下信道匹配算法在和速率上明显优于一对一场景下的信道匹配算法,提出的功率分配算法相比起对偶迭代算法更接近最优功率分配。

The combination of Non-Orthogonal Multiple Access(NOMA)technology and Device-to-Device(D2D)communication technology has outstanding advantages in achieving efficient spectrum utilization and largescale access.Aiming at the problem of single channel allocation mode and the difficulty in obtaining optimal power allocation within D2D group in existing NOMA-D2D systems,this paper constructs a joint resource allocation algorithm with D2D group and rate as the optimization target.Firstly,in terms of sub-channel allocation,this problem is converted into a bilateral matching problem,and a D2D group channel allocation algorithm based on many-to-one scenarios is proposed,Then,the difference of two convex functions(DC)programming method based on successive convex approximation is used to find the power allocation value close to the optimal one.The simulation results show that the proposed channel matching algorithm in the many-to-one scenario is superior to the one in the one-to-one scenario in terms of sum rate,and the proposed power allocation algorithm is closer to the optimal power allocation compared to the dual iterative algorithm.