Coexistence of LTE-Unlicensed and WiFi: A Reinforcement Learning Framework

摘要: The proposal of LTE-unlicensed, whereby LTE operators are allowed to transmit in the unlicensed WiFi spectrum, is seen as a promising solution meet increasing demand for mobile data. Implementing LTE-unlicensed however requires novel techniques enable coexist with already existing technology. In this work we propose detailed queueing theory based framework model problem achieving coexistence between and technologies using time-division duplexing method referred CSAT (Carrier Sense Adaptive Transmission). Then, from Markov decision processes Q-learning an online algorithm that can share spectrum efficient manner. Finally, conduct extensive simulation study demonstrate efficacy proposed solution.