A Grant-Free Method for Massive Machine-Type Communication with Backward Activity Level Estimation

A Grant-Free Method for Massive Machine-Type Communication with Backward Activity Level Estimation

Accepted version

Peer-reviewed

Repository URI

https://www.repository.cam.ac.uk/handle/1810/315349

Repository DOI

https://doi.org/10.17863/CAM.62457

Files

Accepted version (403.47 KB)

Type

Article

Authors

Xiao, H

Chen, W

https://orcid.org/0000-0001-5090-9915

Fang, J

Ai, B

https://orcid.org/0000-0001-6850-0595

Wassell, IJ

https://orcid.org/0000-0001-7927-5565

Keywords

Matching pursuit algorithms, Channel estimation, Estimation, Modulation, Long Term Evolution, Performance evaluation, Energy consumption, Massive machine-type communication, compressive sensing, random access, massive connectivity

Journal Title

IEEE Transactions on Signal Processing

Journal ISSN

1053-587X
1941-0476

Volume Title

68

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publisher DOI

https://doi.org/10.1109/TSP.2020.3040037

Rights

All rights reserved

Collections

Cambridge University Research Outputs