Paper Info
Title
Optimal Versus CSI-Based SIC Ordering in Downlink Multi-Cell NOMA Systems
Abstract
The key idea of non-orthogonal multiple access (NOMA) is to achieve the channel capacity of degraded broadcast channels by a linear superposition coding combined with successive interference cancellation (SIC). In this line, SIC decoding order among users plays an important role in downlink NOMA systems. The SIC decoding order based on the users' channel gains within the cell normalized by noise (channel state information (CSI)-based decoding order) is known to be optimal in downlink single-antenna single-cell NOMA. However, this strategy is not optimal in single-antenna multi-cell NOMA, because of the existing inter-cell interference (ICI) which depends on the power consumption of neighboring cells. In this work, we address the problem of finding globally optimal joint SIC ordering and power allocation strategy for the sum-rate maximization problem in downlink single-antenna multi-cell NOMA systems. We propose a globally optimal solution based on the exploration of base stations power consumption and distributed power allocation. We show that this algorithm has a reduced computational complexity compared to other existing optimal solutions. Numerical results show that the optimal decoding order results in significant performance gains in terms of outage probability and users total spectral efficiency compared to the CSI-based decoding order.
Year
DOI
Venue
2021
10.1109/ICC42927.2021.9500757
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
Keywords
DocType
ISSN
multi-cell, NOMA, successive interference cancellation, optimal SIC ordering, resource allocation
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Sepehr Rezvani132.44
Eduard A. Jorswieck22211202.99
Nader Mokari329340.54
Mohammad R. Javan484.54