Title
Low overhead NOMA receiver with automatic modulation classification techniques
Abstract
Recently non-orthogonal multiple access (NOMA) technique has been proposed for boosting spectral efficiencies in 5G cellular networks. In NOMA the transmitter maps a predefined number of user symbols on to the same resources. The conventional receiver for NOMA is the well-known serial interference cancellation. To overcome the problem of high overhead signalling, a receiver with an automatic modulation classification (AMC) algorithm for a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</italic> -user NOMA which identifies the modulation scheme of users before symbol detection is proposed. First, a two-user NOMA (TU-NOMA) scheme is treated and the receiver is extended to more general cases. For evaluating the performance of the proposed receiver its bit error rate (BER) for TU-NOMA case has been driven and shown that this can be approximated as the sum of the demodulator BER and the AMC algorithm error probability. The simulation results show the BER degradation can be neglected if an enough number of symbols with sufficiently large SNR values are available.
Year
DOI
Venue
2020
10.1049/iet-com.2018.5099
IET Communications
Keywords
DocType
Volume
cellular radio,error statistics,modulation,radiofrequency interference,interference suppression,5G mobile communication,multi-access systems
Journal
14
Issue
ISSN
Citations 
5
1751-8628
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Masoud Naderpou100.34
H. Khaleghi Bizaki2184.27