Abstract
License Assisted Access (LAA) is a technology developed to coexist with WiFi in unlicensed band. LAA performs Listen Before Talk (LBT) and accesses the channel by sending a Reservation Signal (RS), which will occupy the channel for a duration and cause a waste of spectrum so that reduce system throughput. In this paper, we propose an adaptive algorithm for LAA and WiFi Coexistence based on Q-learning (LWCQ) to dynamically schedule LAA communication, and determine LAA transmission duration after accessing the channel according to the communication state. LWCQ intends to avoid LAA accessing the channel frequently to reduce throughput loss, and it can also adjust appropriately LAA communication duration according to WiFi traffic. We analyze the performance of LWCQ, simulation results show that LWCQ effectively improves LAA and system throughput and ensures the fairness of LAA and WiFi communication.
Published Version
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