3 papers
cs.LG2022
Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation
Ankita Tondwalkar, Andres Kwasinski
This paper presents a novel deep reinforcement learning-based resource allocation technique for the multi-agent environment presented by a cognitive radio network where the interac…
cs.NI2019
Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation
Ankita Tondwalkar, Dr Andres Kwasinski
This paper presents a novel deep reinforcement learning-based resource allocation technique for the multi-agent environment presented by a cognitive radio network that coexists thr…
cs.NI2018
Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access
Fatemeh Shah-Mohammadi, Andres Kwasinski
Two key challenges in underlay dynamic spectrum access (DSA) are how to establish an interference limit from the primary network (PN) and how cognitive radios (CRs) in the secondar…