Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Name
A1
Category
Artikkeli
Refereed
Kyllä
Sub category
Tieteellinen aikakauslehti
Type
Alkuperäisartikkeli

Authors of the publication

Number of authors
4
Authors
Ismath, Insaf; Ali, Samad; Rajatheva, Nandana; Latva-Aho, Matti

Publication channel information

Title of journal/series
IEEE wireless communications letters
ISSN (print)
2162-2337
ISSN (electronic)
2162-2345
ISSN (linking)
2162-2337
Publication forum ID
75172
Publication forum level
2
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2021
Bibliographical publication year
2021
Reporting year
2021
Journal/series volume number
10
Journal/series issue number
12
Page numbers
2752-2756
DOI
10.1109/LWC.2021.3115030
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Link to self-archived version
http://urn.fi/urn:nbn:fi-fe2022012610364

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
Throughput; Tools; Signal to noise ratio; Search problems; 5G mobile communication; Indexes; Central Processing Unit; Initial access; mmWave; deep contextual bandits; user-centric; deep reinforcement learning; Throughput; Tools; Signal to noise ratio; Search problems; 5G mobile communication; Indexes; Central Processing Unit; Initial access; mmWave; deep contextual bandits; user-centric; deep reinforcement learning
Additional information
https://arxiv.org/abs/2103.09694

Source database ID

WoS ID
WOS:000728140800032
Scopus ID
2-s2.0-85115703893