Power Allocation and User Clustering for Uplink MC-NOMA in D2D Underlaid Cellular Networks

被引：44

作者：

Zheng, Hanyu ^{[1
]}

Hou, Shujuan ^{[1
]}

Li, Hai ^{[1
]}

Song, Zhengyu ^{[2
]}

Hao, Yuanyuan ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China

[2] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2018年 / 7卷 / 06期

关键词：

Device-to-device; non-orthogonal multiple access; resource allocation; Nash bargaining game; Hedonic coalition game;

D O I：

10.1109/LWC.2018.2845398

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, the resource allocation problem for uplink multi-carrier non-orthogonal multiple access (NOMA) in device-to-device (D2D) underlaid cellular networks is investigated. Due to the existence of D2D pairs, NOMA users are subject to varying degrees of interference. We formulate the problem as a Nash bargaining game to maximize the Nash product of each user. We propose an iterative algorithm applying Karush-Kuhn-Tucker conditions to solve the power allocation problem and modeling the user clustering as a Hedonic coalition game. Simulation results verify the convergence of the proposed algorithms. Besides, the algorithms achieve near-optimal performance compared to exhaustive search method and the throughput and fairness in NOMA are both higher than those in orthogonal multiple access.

引用

页码：1030 / 1033

页数：4

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