Title
Fuzzy Logic Based Multi-Criterion User Selection and Resource Allocation for Green Coordinated NOMA.
Abstract
Combining non-orthogonal multiple access (NOMA) with coordination techniques among base stations (BSs) is a promising solution to enhance spectral efficiency and alleviate inter-cell interference of cell-edge users in 5th generation (5G) networks. In this paper, we consider a multi-cell NOMA network with coordinated BSs in the downlink, and investigate its user coordination mode selection and resource allocation to achieve a green system. A fuzzy logic (FL) based multi-criterion scheme is proposed for user coordination mode selection. It is more robust against shadowing and fading than the previous selection schemes that classify coordinated and non-coordinated users by a single criterion. Also, the FL ranking list is fed into subcarrier allocation, leading to significant reduction in searching complexity of subcarrier allocation. A dramatic performance enhancement is achieved over the previous schemes based on single-criterion, in terms of transmission power and energy efficiency.
Year
DOI
Venue
2018
10.1109/GLOCOM.2018.8648101
IEEE Global Communications Conference
Field
DocType
ISSN
Subcarrier,Base station,Fading,Efficient energy use,Computer science,Fuzzy logic,Computer network,Resource allocation,Spectral efficiency,Telecommunications link,Distributed computing
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Haiyong Zeng152.11
Xu Zhu237147.63
Yufei Jiang33222.37
Yan Zuo400.34
Zhongxiang Wei53711.26
Tong Wang6286.83