Iterative Channel Estimation with Data-Aided Interference Cancellation for Non-Orthogonal Multiple Access

In the 5 th generation of mobile cellular systems, non-orthogonal multiple access (NOMA) is being considered as a potential candidate for uplink (UL) multiple access (MA) in addition to the basic orthogonal multiple access scheme in order to support various usage scenarios including small packet tra...

Full description

Saved in:
Bibliographic Details
Published in:2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) pp. 1 - 5
Main Authors: Sosnin, Sergey D., Xiong, Gang, Kwak, Yongjun
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2018
Subjects:
5G mobile communication
5th Generation (5G)
Channel estimation
Data-aided
Interference cancellation
Interference cancellation (IC)
New Radio (NR)
NOMA
Non-Orthogonal Multiple Access (NOMA)
OFDM
Receivers
ISSN:2577-2465
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the 5 th generation of mobile cellular systems, non-orthogonal multiple access (NOMA) is being considered as a potential candidate for uplink (UL) multiple access (MA) in addition to the basic orthogonal multiple access scheme in order to support various usage scenarios including small packet transmissions, support of a massive number of users, and low latency and high reliability services. Since for NOMA, multiple users transmit uplink data packet in the same time and frequency resource, it is difficult to accurately estimate the channel coefficients from reference signals, especially if the reference signal itself suffers from interference from other users. This paper proposes a novel channel estimation algorithm which utilizes iterative interference cancellation operation in a data-aided manner in reference signal. This iterative channel estimation algorithm with data-aided interference cancellation provides improved channel estimation and overall link level performance at NOMA receiver.
ISSN:2577-2465
DOI:10.1109/VTCFall.2018.8690899