Performance analysis and SINR-based power allocation strategies for downlink NOMA networks

This study analyses the performance of downlink non-orthogonal multiple-access (NOMA) networks over independent but not necessarily identically distributed Rayleigh fading channels by deriving closed-form expressions for the average signal-to-interference-plus-noise ratio (SINR), average achievable...

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Bibliographic Details
Published in:	IET communications Vol. 14; no. 5; pp. 723 - 735
Main Authors:	Baidas, Mohammed W, Alsusa, Emad, Hamdi, Khairi A
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 17.03.2020
Subjects:	closed‐form expressions concave programming convex optimisation problems convex programming downlink NOMA networks downlink nonorthogonal multiple‐access networks identically distributed Rayleigh fading channels intelligent reformulation techniques linear programming linear‐fractional programming problems minimisation minimum SINR constraints multi‐access systems numerical analysis numerical evaluations outage probability probability proportional‐fairness‐SINR maximisation radiofrequency interference Rayleigh channels reformulated power allocation strategies Research Article signal‐to‐interference‐plus‐noise ratio SINR‐based power allocation strategies sum‐SINR minimisation sum-SINR minimisation linear-fractional programming problems probability Rayleigh channels convex optimisation problems convex programming linear programming closed-form expressions minimum SINR constraints identically distributed Rayleigh fading channels radiofrequency interference intelligent reformulation techniques downlink nonorthogonal multiple-access networks outage probability downlink NOMA networks numerical analysis proportional-fairness-SINR maximisation reformulated power allocation strategies numerical evaluations multi-access systems signal-to-interference-plus-noise ratio minimisation concave programming SINR-based power allocation strategies
ISSN:	1751-8628, 1751-8636
Online Access:	Get full text
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