The University of Southampton
University of Southampton Institutional Repository

Low-latency compressive active user identification over frequency-selective fading channels

Low-latency compressive active user identification over frequency-selective fading channels
Low-latency compressive active user identification over frequency-selective fading channels

This paper proposes a compressive sensing (CS) based active user identification scheme over frequency-selective fading channels. Unlike the conventional cyclic prefix (CP) based preamble transmission, our approach does not utilize CP in order to conserve signaling overhead, in turn reducing the system-wide processing latency. Our approach first estimates the multi-user channel impulse response vectors by solving a mixed ℓ2/ℓ1-norm optimization problem; then, the active users are identified via a sorting of the norms of the estimated channel vectors. By exploiting the Toeplitz channel matrix structure resulting from CP-free preamble transmission, analytic performance guarantee in term of the block restricted isometry property of the preamble matrix is given. Computer simulations are used to illustrate the performance of the proposed method.

IEEE
Chang, Chun Yi
74e8e8c7-6f9a-4402-8f6e-46dcc0d5b3e2
Wu, Jwo Yuh
1c95bdaf-16e4-4c34-85b7-2df0eb2a1c0e
Yang, Ming Hsun
0b43e64a-a7b1-4fd6-928b-7e307acf0cee
Wang, Tsang Yi
7f1c0642-9107-4096-b255-799aff0b3176
Shao, Shuai
59ba0bf5-d953-4967-8655-4de394007f2a
Maunder, Robert G.
76099323-7d58-4732-a98f-22a662ccba6c
Chang, Chun Yi
74e8e8c7-6f9a-4402-8f6e-46dcc0d5b3e2
Wu, Jwo Yuh
1c95bdaf-16e4-4c34-85b7-2df0eb2a1c0e
Yang, Ming Hsun
0b43e64a-a7b1-4fd6-928b-7e307acf0cee
Wang, Tsang Yi
7f1c0642-9107-4096-b255-799aff0b3176
Shao, Shuai
59ba0bf5-d953-4967-8655-4de394007f2a
Maunder, Robert G.
76099323-7d58-4732-a98f-22a662ccba6c

Chang, Chun Yi, Wu, Jwo Yuh, Yang, Ming Hsun, Wang, Tsang Yi, Shao, Shuai and Maunder, Robert G. (2018) Low-latency compressive active user identification over frequency-selective fading channels. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. vol. 2018-April, IEEE. 6 pp . (doi:10.1109/WCNC.2018.8377272).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper proposes a compressive sensing (CS) based active user identification scheme over frequency-selective fading channels. Unlike the conventional cyclic prefix (CP) based preamble transmission, our approach does not utilize CP in order to conserve signaling overhead, in turn reducing the system-wide processing latency. Our approach first estimates the multi-user channel impulse response vectors by solving a mixed ℓ2/ℓ1-norm optimization problem; then, the active users are identified via a sorting of the norms of the estimated channel vectors. By exploiting the Toeplitz channel matrix structure resulting from CP-free preamble transmission, analytic performance guarantee in term of the block restricted isometry property of the preamble matrix is given. Computer simulations are used to illustrate the performance of the proposed method.

This record has no associated files available for download.

More information

Published date: 8 June 2018
Venue - Dates: 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, , Barcelona, Spain, 2018-04-15 - 2018-04-18

Identifiers

Local EPrints ID: 423258
URI: http://eprints.soton.ac.uk/id/eprint/423258
PURE UUID: 23e2d6dd-28e9-4fc1-9c10-d65b24a922da
ORCID for Shuai Shao: ORCID iD orcid.org/0000-0003-4135-7973
ORCID for Robert G. Maunder: ORCID iD orcid.org/0000-0002-7944-2615

Catalogue record

Date deposited: 19 Sep 2018 16:31
Last modified: 06 Jun 2024 01:46

Export record

Altmetrics

Contributors

Author: Chun Yi Chang
Author: Jwo Yuh Wu
Author: Ming Hsun Yang
Author: Tsang Yi Wang
Author: Shuai Shao ORCID iD
Author: Robert G. Maunder ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×