Distributed Learning for Optimal Spectrum Access in Dense Device-to-Device Ad-Hoc Networks
Author:
Affiliation:
1. Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
2. Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology (KUST), Kunming, China
Funder
ISF
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/10040758/10202592.pdf?arnumber=10202592
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1. Pure-Exploration Bandits for Channel Selection in Mission-Critical Wireless Communications
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3. Distributed Resource Allocation for Energy Efficiency in MIMO OFDMA Wireless Networks
4. My fair bandit: Distributed learning of max–min fairness with multi-player bandits;bistritz;Proc 37th Int Conf Mach Learn (ICML),0
5. On the Physical Interpretation of the Saleh–Valenzuela Model and the Definition of Its Power Delay Profiles
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1. Communication Efficient Distributed Learning Over Wireless Channels;IEEE Signal Processing Letters;2023
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