Research Article
Optimal User Grouping and Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems
@INPROCEEDINGS{10.1007/978-3-030-00557-3_53, author={Xiaoding Wang and Kejie Ni and Xiangxu Chen and Yuan Wu and Liping Qian and Liang Huang}, title={Optimal User Grouping and Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems}, proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings}, proceedings_a={MLICOM}, year={2018}, month={10}, keywords={Bandwidth allocation Power allocation Non-orthogonal multiple access (NOMA) Successive interference cancellation (SIC)}, doi={10.1007/978-3-030-00557-3_53} }- Xiaoding Wang
Kejie Ni
Xiangxu Chen
Yuan Wu
Liping Qian
Liang Huang
Year: 2018
Optimal User Grouping and Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems
MLICOM
Springer
DOI: 10.1007/978-3-030-00557-3_53
Abstract
Non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) has recently been considered as a key enabling technique for 5G cellular networks to satisfy future users’ network needs, such as ultra-high transmission rate, ultra-high throughput, ultra-low latency and ultra-high density connections. A group of users is allowed to share the same spectrum and multiplex the power domain to transmit data. In this paper, we investigate the optimization of bandwidth allocation and user grouping under the conditions of transmission power limit, bandwidth allocation limit, and user traffic requirements, so that the total resource consumption is minimized. The key idea to solve the problem is to use the layer structure of the problem and divide the problem into the optimization grouping problem and the bandwidth allocation problem. We propose a simulated annealing algorithm to solve the optimization grouping problem.
