Paper Info
Title
Performance of Dynamic Power and Channel Allocation for Downlink MC-NOMA Systems
Abstract
In this paper, we develop an analytical model for the performance analysis of dynamic power and channel allocation (DPCA) in downlink multi-channel non-orthogonal multiple access (MC-NOMA) systems. To make the performance analysis tractable, we first relax the condition in the optimization problem of DPCA by assuming an ideal MC-NOMA system in which an arbitrary number of users can be multiplexed per subchannel. We use the basic decomposition method to solve the optimal DPCA for this problem and design a low-complexity algorithm for inter-channel power allocation. Then, based on the derivation of this optimal DPCA solution, we analyze its data rate performance and prove that it is an upper bound for practical MC-NOMA systems in which the number of multiplexed users per subchannel is limited. The simulation results verify our analysis of the upper bound performance and confirm that using its analytical results for data rate estimation in practical MC-NOMA systems has high accuracy under different system configurations. In addition, we study the influence of multi-user and multi-channel diversities on the performance of MC-NOMA, serving as a guideline for its deployment and optimization in practice.
Year
DOI
Venue
2020
10.1109/TWC.2019.2955940
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Silicon carbide,Multiplexing,NOMA,Decoding,Downlink,Resource management,Interference
Journal
19
Issue
ISSN
Citations 
3
1536-1276
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Fei Liu1415.78
Marina Petrova257465.84