CBRS

2019 ECE Affiliates Day
The ECE Corporate Affiliates Day was recently on March 29th. I was involved in two research posters. 1st was the neural network based DPD that I am working on with our VIP team.
Chance Tarver
Last updated on Apr 28, 2023 1 min read
2019 ECE Affiliates Day
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 Paper Invited for Submisssion to TCCN
The 2018 DySPAN paper was invited for submission to IEEE Transactions on Cognitive Communications and Networking (TCCN) for a special issue featuring the top papers from this year’s conference. We accepted the invitation and have made improvements to the paper including additional simulations focusing on new topologies.
Chance Tarver
Last updated on Apr 28, 2023 1 min read
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
Opportunistic channel access using reinforcement learning in tiered CBRS networks
The upcoming deployments of devices on the new 3.5 GHz, Citizens Broadband Radio Service (CBRS) is expected to enable innovation by …
Matthew Tonnemacher, Chance Tarver, Vikram Chandrasekhar, Hao Chen, Pengda Huang, Boon Loong Ng, Jianzhong Charlie Zhang, Joseph R Cavallaro, Joseph Camp
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Opportunistic channel access using reinforcement learning in tiered CBRS networks