On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment

Ameha T. Abebe; Chung G. Kang

doi:10.1109/WCNCW.2017.7919090

On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment

Ameha T. Abebe, Chung G. Kang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Synchronization, channel estimation, and multi-user detection (MUD) can be performed in a single shot for a comprehensive grant-free access [1]. The scheme employs compressive sensing by exploiting two sparse phenomena: sparsity in users' activity and sparsity in channel delay spread. The performance of compressive sensing based schemes should be thoroughly studied in a multi-cell environment as the other-cell interference (OCI) may affect the underlying sparsity. In this paper, we provide a performance analysis of the comprehensive grant-free access scheme in a multi-cell environment and showed that OCI would not affect the sparsity of the received signal, and rather can be considered as a dispersed noise, if signature allocation among cells is properly handled. Furthermore, we show the performance & complexity of the receiver in contrast with other multiple measurement vector-based receivers modified for joint & blind channel estimation and (MUD).

Original language	English
Title of host publication	2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509059089
DOIs	https://doi.org/10.1109/WCNCW.2017.7919090
Publication status	Published - 2017 May 3
Event	2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017 - San Francisco, United States Duration: 2017 Mar 19 → 2017 Mar 22

Publication series

Name	2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017

Other

Other	2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017
Country/Territory	United States
City	San Francisco
Period	17/3/19 → 17/3/22

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Renewable Energy, Sustainability and the Environment
Media Technology
Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WCNCW.2017.7919090

Cite this

Abebe, A. T., & Kang, C. G. (2017). On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment. In 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017 Article 7919090 (2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNCW.2017.7919090

On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment. / Abebe, Ameha T.; Kang, Chung G.
2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7919090 (2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abebe, AT & Kang, CG 2017, On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment. in 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017., 7919090, 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017, San Francisco, United States, 17/3/19. https://doi.org/10.1109/WCNCW.2017.7919090

Abebe AT, Kang CG. On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment. In 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7919090. (2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017). doi: 10.1109/WCNCW.2017.7919090

Abebe, Ameha T. ; Kang, Chung G. / On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment. 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017).

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On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment

Abstract

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Bibliographical note

ASJC Scopus subject areas

UN SDGs

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