Bandit-Based Learning-Aided Full-Duplex/Half-Duplex Mode Selection in 6G Cooperative Relay Networks-Reference-Cited by-同舟云学术

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Bandit-Based Learning-Aided Full-Duplex/Half-Duplex Mode Selection in 6G Cooperative Relay Networks

Published:2024 Issue: Volume:5 Page:1415-1429
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Nomikos Nikolaos¹^ORCID,Charalambous Themistoklis²^ORCID,Trakadas Panagiotis¹,Wichman Risto³^ORCID

Affiliation:

1. Department of Ports Management and Shipping, National and Kapodistrian University of Athens, Euboea, Greece

2. Department of Electrical and Computer Engineering, School of Engineering, University of Cyprus, Nicosia, Cyprus

3. Department of Signal Processing and Acoustics, School of Electrical Engineering, Espoo, Finland

Funder

HORSE Project

Smart Networks and Services Joint Undertaking (SNS JU) through the European Union’s Horizon Europe Research and Innovation Programme

Project MINERVA

European Research Council (ERC) through the European Union’s Horizon 2022 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782661/10362961/10445505.pdf?arnumber=10445505

Reference39 articles.

1. Full-Duplex Wireless Communications: Challenges, Solutions, and Future Research Directions

2. Channel Selection for Network-Assisted D2D Communication via No-Regret Bandit Learning With Calibrated Forecasting

3. Multi-armed bandits with application to 5G small cells

4. Hybrid Time-Switching and Power Splitting SWIPT for Full-Duplex Massive MIMO Systems: A Beam-Domain Approach

5. A Unified Channel Estimation Framework for Stationary and Non-Stationary Fading Environments

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