5G-Advanced network optimization : AI/ML and sensing-driven beam management with energy optimization

Approved

Classifications

MinEdu publication type
G4 Doctoral dissertation (monograph)
Definition
Thesis
Thesis
Monograph dissertation
Target group
Scientific

Authors of the publication

Number of authors
1
Authors
Rajapakshalage, Dhanushka Nalin Jayaweera

Publication channel information

ISBN (print)
978-952-62-4469-3
ISBN (electronic)
978-952-62-4470-9
Title of journal/series
Acta Universitatis Ouluensis Series C Technica
ISSN (print)
0355-3213
ISSN (electronic)
1796-2226
ISSN (linking)
0355-3213
Publisher
Oulun yliopisto
Country of publication
Finland
Internationality
No

Detailed publication information

Publication year
2025
Reporting year
2025
Journal/series issue number
1002
Page numbers
142
Language of publication
English

Co-publication information

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

Availability

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
3GPP; AI/ML; beam management; blockage prediction; cell-free massive MIMO; energy consumption minimization; l0-norm minimization; LiDAR; mmWave; power consumption; QoS-constrained; spatial-domain beam prediction; time-domain beam prediction; vision aided communications; aika-alueeseen perustuva säteen ennustaminen; energiankulutuksen minimointi; esteiden ennustaminen; l0-normin minimointi; soluton MIMO; spatiaalinen säteen ennustaminen; säteenhallinta; tekoäly/koneoppiminen; virrankulutus