A Novel Power Control Approach Based on ε-Greedy Monte Carlo Method in Cognitive Radio System

Qinghai Xiao; Qunyi Gao; Yunzhou Li; Shidong Zhou; Jing Wang

3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

A Novel Power Control Approach Based on ε-Greedy Monte Carlo Method in Cognitive Radio System

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562467,
    author={Qinghai Xiao and Qunyi Gao and Yunzhou Li and Shidong Zhou and Jing Wang},
    title={A Novel Power Control Approach Based on ε-Greedy Monte Carlo Method in Cognitive Radio System},
    proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2008},
    month={7},
    keywords={Reinforement learning; monte carlo method; ε-greedy MC  method; penalty mechanism.},
    doi={10.1109/CROWNCOM.2008.4562467}
}

Qinghai Xiao
Qunyi Gao
Yunzhou Li
Shidong Zhou
Jing Wang
Year: 2008
A Novel Power Control Approach Based on ε-Greedy Monte Carlo Method in Cognitive Radio System
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562467

Qinghai Xiao¹^,*, Qunyi Gao²^,*, Yunzhou Li², Shidong Zhou², Jing Wang²

1: State Key Laboratory on Microwave and Digital Communications Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering, Tsinghua University, Beijing 100084, China School of Electronic Technology, Information Engineering University, Zhengzhou 450004, China
2: State Key Laboratory on Microwave and Digital Communications Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

*Contact email: xiaoqh06@mails.tsinghua.edu.cn, Gaoqy@tsinghua.edu.cn

Abstract

In this paper, we consider a model of two-user channel with one primary user and one secondary user. Then we present a novel power control approach based on ε-greedy MC method to solve transmit-power control problem of the secondary user. Theoretical analysis and simulation results both show that the approach can not only optimize transmit-power control of the secondary user, but also be used to determine sensing error or interference temperature limit in cognitive-radio environment.

Keywords: Reinforement learning; monte carlo method; ε-greedy MC method; penalty mechanism.

Published: 2008-07-15
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CROWNCOM.2008.4562467

A Novel Power Control Approach Based on ε-Greedy Monte Carlo Method in Cognitive Radio System

Abstract

About EAI

Community

Publish with EAI