Monotonic Optimization-based Resource Allocation for D2D-enabled MC-NOMA Networks
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所属单位：School of Computer Science and Information Engineering, Hefei University of Technology
发表刊物：2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)
项目来源：the National Natural Science Foundation of China under Grants 61971176 and 61901156; Jiangsu Provinc
关键字：MC-NOMA, D2D, monotonic optimization
摘要：This letter investigates the joint subcarrier assignment and power allocation (JSAPA) problem in an uplink multicarrier non-orthogonal multiple access (MC-NOMA) hybrid device-to-device (D2D) and cellular networks. Considering the peak-to-average power ratio (PAPR) effects in the multicarrier network, our target is to maximize the sum data rate of D2D pairs subject to the constraints of the user power budget, power limitation on per-subcarrier, and the quality of service (QoS) requirement of each cellular user. To solve the non-convex JSAPA problem, we provide a polyblock algorithm by exploiting the hidden monotonic structure of objective functions and constraints to acquire the optimized result. Simulation results demonstrate our proposed scheme is better than the other methods.
合写作者：Huihao Ge,Jianyue Zhu,Wei Huang
第一作者：Caihong Kai
论文类型：论文集
学科门类：工学
文献类型：C
页面范围：513-517
ISSN号：979-8-3503-3597-2
是否译文：否
发表时间：2023-02-24
收录刊物：EI