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...

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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
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Abstract 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.
AbstractList 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.
Author Xiong, Gang
Sosnin, Sergey D.
Kwak, Yongjun
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  givenname: Gang
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  givenname: Yongjun
  surname: Kwak
  fullname: Kwak, Yongjun
  email: yongjun.kwak@intel.com
  organization: Intel Communication and Devices Group, Intel Corporation, Hillsboro, USA
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Snippet 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...
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SubjectTerms 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
Title Iterative Channel Estimation with Data-Aided Interference Cancellation for Non-Orthogonal Multiple Access
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