Fuzzy Logic Based Multi-Criterion User Selection and Resource Allocation for Green Coordinated NOMA

Zeng, Haiyong, Zhu, X ORCID: 0000-0002-7371-4595, Jiang, Yufei, Zuo, Yan, Wei, Zhongxiang and Wang, Tong (2018) Fuzzy Logic Based Multi-Criterion User Selection and Resource Allocation for Green Coordinated NOMA. In: IEEE Globecom 2018, 2018-12-9 - 2018-12-13, Abu Dhabi.

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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.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Generic health relevance, 7 Affordable and Clean Energy
Depositing User:	Symplectic Admin
Date Deposited:	27 Nov 2018 10:13
Last Modified:	17 Mar 2024 00:13
DOI:	10.1109/glocom.2018.8648101
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3029063