TY  - JOUR
T1  - A Study on Reinforcement Learning Algorithm for Multi-Spectrum Channel Access
AU  - Chae, Jun-byung 
AU  - Park, Jong-in 
AU  - Choi, Kae-won 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2023
DA  - 2023/1/14
DO  - 10.7840/kics.2023.48.12.1568
KW  - Reinforcement Learning
KW  - 802.11ax
KW  - Multi-Spectrum Channel Access
KW  - DDPG
AB  - This paper compares and analyzes performance by applying various reinforcement learning algorithms for multi-spectrum channel access in an 802.11ax-based wireless communication environment. In this paper, we present a channel access technology that uses reinforcement learning to prevent collisions and optimally utilizes channel resources. The application of this technology will help improve communication speed and develop future frequency utilization technology.