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eess.SP2025
Searching for a Hidden Markov Anomaly over Multiple Processes
Levli Citron, Kobi Cohen, Qing Zhao
We address the problem of detecting an anomalous process among a large number of processes. At each time t, normal processes are in state zero (normal state), while the abnormal pr…
eess.SP2024
SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks
Yaniv Cohen, Tomer Gafni, Ronen Greenberg +1
We consider the problem of dynamic channel allocation (DCA) in cognitive communication networks with the goal of maximizing a global signal-to-interference-plus-noise ratio (SINR)…
eess.SP2021
Distributed Learning over Markovian Fading Channels for Stable Spectrum Access
Tomer Gafni, Kobi Cohen
We consider the problem of multi-user spectrum access in wireless networks. The bandwidth is divided into K orthogonal channels, and M users aim to access the spectrum. Each user c…