Paper Info
Title
Sum Rate Fairness Trade-off-based Resource Allocation Technique for MISO NOMA Systems
Abstract
In this paper, we propose a beamforming design that jointly considers two conflicting performance metrics, namely the sum rate and fairness, for a multiple-input single-output non-orthogonal multiple access system. Unlike the conventional rate-aware beamforming designs, the proposed approach has the flexibility to assign different weights to the objectives (i.e., sum rate and fairness) according to the network requirements and the channel conditions. In particular, the proposed design is first formulated as a multi-objective optimization problem, and subsequently mapped to a single objective optimization (SOO) problem by exploiting the weighted sum approach combined with a prior articulation method. As the resulting SOO problem is non-convex, we use the sequential convex approximation technique, which introduces multiple slack variables, to solve the overall problem. Simulation results are provided to demonstrate the performance and the effectiveness of the proposed approach along with detailed comparisons with conventional rate-aware-based beamforming designs.
Year
DOI
Venue
2019
10.1109/WCNC.2019.8886335
2019 IEEE Wireless Communications and Networking Conference (WCNC)
Keywords
Field
DocType
Beamforming design,multi-objective optimization,non-orthogonal multiple access,Pareto-optimal
Noma,Beamforming,Mathematical optimization,Slack variable,Computer science,Communication channel,Resource allocation,Convex decomposition,Single objective,Optimization problem
Conference
ISSN
ISBN
Citations 
1525-3511
978-1-5386-7647-9
1
PageRank 
References 
Authors
0.35
15
6
Name
Order
Citations
PageRank
Haitham Al-Obiedollah160.75
K. Cumanan240832.88
Jeyarajan Thiyagalingam312616.68
Alister G. Burr4476.46
Zhiguo Ding57031399.47
Octavia A. Dobre62064181.08