TY - GEN
T1 - On the Performance of Joint Channel Estimation and MUD for CS-Based Random Access in Multi-Cell Environment
AU - Abebe, Ameha T.
AU - Kang, Chung G.
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/5/3
Y1 - 2017/5/3
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=85020184646&partnerID=8YFLogxK
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U2 - 10.1109/WCNCW.2017.7919090
DO - 10.1109/WCNCW.2017.7919090
M3 - Conference contribution
AN - SCOPUS:85020184646
T3 - 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017
BT - 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2017
Y2 - 19 March 2017 through 22 March 2017
ER -
