Affiliation:
1. Department of Electronics and Communication Engineering, National Institute of Technology, Arunachal Pradesh,
791113, India
2. Residential Girls’ Polytechnic, Golaghat, Assam, 785702, India
Abstract
Background:
Non-orthogonal multiple access (NOMA) is viewed as the key multiple access
technology for 5G and beyond networks, attracting the attention of academics and industries.
NOMA and the multiple input multiple output (MIMO-NOMA) technology can improve a system’s
throughput, latency, and energy efficiency (EE) in future-generation communication networks.
Objective:
The objective of this paper is to achieve maximum EE by applying the Max-min Power
Control Algorithm (MMPCA) through sub-channel optimization, resource allocation (RA) optimization,
access point selection (APS), and user association. The EE results obtained with and without using
MMPCA are compared to the RA optimization from a conventional water-filling algorithm
(WFA).
Method:
This paper formulates a framework for user-centric (UC) joint resource allocation, such as
backhaul connection via beam-forming and Access point (AP) to user connection via MIMO-NOMA.
The user without interference is decoded using the NOMA principle. The MMPCA was also used to
optimize cooperative power allocation, sub-channel allocation, and efficient user association. The RA
for EE is framed as a mixed non-convex and non-linear function using successive convex approximation
and sum ratio decoupling converted into convex and linear. A bisection method was used to
achieve optimal RA, user association, and sub-channel assignment.
Results and Conclusion:
The simulation shows energy efficiency (EE) improvement. Similarly, it is
observed that MMPCA outperforms the WFA.
Publisher
Bentham Science Publishers Ltd.
Subject
Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Computer Science Applications