CoexistenceLast updated on May 1, 2023In this project, we aimmed to improve spectrum coexistence using machine learning for applications such as CBRS.Chance TarverStaff Research Engineer for Wireless SystemsPublicationsMethod and apparatus for improving coexistence performance by measurements in wireless communication systemsPengda Huang, Hao Chen, Chance Tarver, Boon Loong Ng, Vikram Chandrasekhar, Jianzhong ZhangCite ProjectEnabling a “Use-or-Share” Framework for PAL--GAA Sharing in CBRS Networks via Reinforcement LearningBy 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 CampCite Project DOIMachine Learning Enhanced Channel Selection for Unlicensed LTEWe propose a mechanism for unlicensed LTE channel selection that not only takes into account interference to and from Wi-Fi access …Matthew Tonnemacher, Chance Tarver, Joseph Cavallar, Joseph CampCite Project DOIOpportunistic channel access using reinforcement learning in tiered CBRS networksThe 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 CampCite Project DOI
