Optimal Power Allocation for SCMA Downlink Systems Based on Maximum Capacity

被引：80

作者：

Han, Shuai ^{[1
]}

Huang, Yiteng ^{[1
]}

Meng, Weixiao ^{[1
]}

Li, Cheng ^{[2
]}

Xu, Nuo ^{[3
]}

Chen, Dageng ^{[4
]}

机构：

[1] Harbin Inst Technol, Commun Res Ctr, Harbin 150001, Heilongjiang, Peoples R China

[2] Mem Univ Newfoundland, Fac Engn & Appl Sci, Dept Elect & Comp Engn, St John, NF A1C 5S7, Canada

[3] China Acad Space Technol, Inst Telecommun Satellite, Beijing 100094, Peoples R China

[4] Shanghai Huawei Technol Co Ltd, Shanghai 518129, Peoples R China

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 2019年 / 67卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Optimal power allocation; maximum capacity; convex optimization; sparse code multiple access; 5G;

D O I：

10.1109/TCOMM.2018.2877671

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Sparse code multiple access (SCMA) is a novel type of non-orthogonal multiple access technology that combines the concepts of CDMA and OFDMA. The advantages of SCMA include high capacity, low time delay, and high date rate. In this paper, a power allocation algorithm is proposed for SCMA downlink systems where each tone is taken by more than one user to maximize the system's sum capacity. In SCMA systems, users are divided into different user groups. Thus, our proposed algorithm includes three-level power allocation. Since the power allocation problem is non-convex, the complexity of finding the optimal solutions is prohibitive. The Lagrange dual decomposition method is employed to efficiently solve the non-convex optimization problem. Results show that the optimized algorithm can significantly improve the sum capacity.

引用

页码：1480 / 1489

页数：10

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