SharedSpectrum

Enabling a “Use-or-Share” Framework for PAL--GAA Sharing in CBRS Networks via Reinforcement Learning
By implementing reinforcement learning-aided listen-before-talk (LBT) schemes over a citizens broadband radio service (CBRS) network, …
Chance Tarver, Matthew Tonnemacher, Vikram Chandrasekhar, Hao Chen, Boon Loong Ng, Jianzhong Zhang, Joseph R Cavallaro, Joseph Camp
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DySPAN 2018 Paper Accepted
I just got notified that our submission to DySPAN 2018, Opportunistic Channel Access Using Reinforcement Learning in Tiered CBRS Networks, was accepted. Matthew Tonnemacher from SMU and Samsung Research America led this paper which focuses on using machine learning to help overcome the hidden terminal problem in the emerging CBRS band.
Chance Tarver
Last updated on Apr 28, 2023 1 min read