Paper Info
Title
User Fairness based Energy Efficient Power Allocation for Downlink Cellular NOMA System
Abstract
The cellular technology in 5G has raised demand for high data rate which requires more resources such as bandwidth and base station (BS) power. But, availability of these resources are generally limited. Shortage of available channel impairs user accommodation within the cell while increased power consumption causes overloading of the BS involving emission of CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> gas thereby causing adverse effect on the environment and human health. Therefore, making an energy-efficient nonorthogonal multiple access (NOMA) system is an essential need of the day. In view of this, in this paper, we propose a channel assignment technique with user fairness-based power allocation strategy for NOMA cellular network in which the objective is to maximize the overall energy efficiency (EE) while satisfying the minimum required data rate within the available limited power budget of the base station. As a solution to this problem, an iterative algorithm is suggested. The performance efficiency of the proposed algorithm is analyzed, verified and compared with conventional schemes via simulation experiments.
Year
DOI
Venue
2020
10.1109/ICCCS49678.2020.9276828
2020 5th International Conference on Computing, Communication and Security (ICCCS)
Keywords
DocType
ISBN
Channel assignment,Energy efficiency,Fairness,NOMA cellular system,Power allocation coefficient,Successive interference cancellation,QoS.
Conference
978-1-7281-9181-2
Citations 
PageRank 
References 
0
0.34
12
Authors
2
Name
Order
Citations
PageRank
Priya Gupta101.01
Debashis Ghosh249649.16