NOMA残余干扰下D2D网络的能效资源分配算法

为了解决非理想串行干扰消除（serial interference cancellation，SIC）解码引起的残余干扰给非正交多址接入（non-orthogonal multiple access，NOMA）增强型设备到设备（device-to-device，D2D）组链路带来的高能耗、低信道利用率问题，提出一种基于能效优化的资源分配算法。在保证蜂窝、D2D组用户通信服务质量和复用子信道个数约束条件下，建立能效优化模型；使用一种以D2D组能效为权重的加权二部图最大匹配联合匈牙利算法为每个D2D组分配子信道；考虑到各接收机用户在相同和不同残余干扰下的能效问题，通过参数变换、Dinkelbach法和拉格朗日对偶法实现功率分配。仿真结果表明，提出的算法在非理想SIC条件下可有效提升系统D2D组链路的信道利用率和总能效。

Energy efficiency resource allocation algorithm for D2D networks with NOMA residual interference

In order to solve the problem of high energy consumption and low channel utilization caused by residual interference from imperfect serial interference cancellation (SIC) decoding to non-orthogonal multiple access (NOMA) enhanced device to device (D2D) group links, we propose a resource allocation algorithm based on energy efficiency optimization. The energy efficiency optimization problem is modeled under the constraints of ensuring the quality of communication service of cellular and D2D group users and the number of multiplexed subchannels. A weighted bipartite graph maximum matching joint Hungarian algorithm is used to allocate subchannels for each D2D group with single D2D group energy efficiency as weight. Considering the energy efficiency of each receiver user under the same and different residual interference, the power allocation is realized by parameter transformation, Dinkelbach method and Lagrange duality method. Simulation results show that the proposed algorithm can effectively improve the channel utilization and total energy efficiency of D2D group links under imperfect SIC conditions.