Efficient Exploration for ReinforcementLearning Based Distributed Spectrum Sharingin Cognitive Radio System

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

U. Kiran¹  D. Praveen Kumar¹  K. Rajesh Reddy²  M. Ranjith¹ 

[1] Dept. of ECE, Talla Padmavathi College of Engineering;Dept. of ECE, K.U. College of Engg. Warangal

关键词: cognitive radio;    resource assignment;    spectrum sensing;    point-to-point architecture;    distributed reinforcement learning;   

来源: Research & Reviews

【 摘 要 】

In this paper, we investigate how distributed reinforcement learning-based resource assignment algorithms can be used to improve the performance of a cognitive radio system. Today’s decision making in most wireless systems include cognitive radio systems in development, depends purely on instantaneous measurement. Two system architectures have been investigated in this paper. A point-to-point architecture is examined first in an open spectrum scenario. Then, the distributed reinforcement learning-based algorithms are developed by modifying the traditional reinforcement learning model in order to be applied to a fully distributed cognitive radio system.

【 授权许可】

Unknown