Juan Zhang, Hesong-Jiang, Hong Jiang, Chunmei Chen
언어
영어(ENG)
URL
https://www.earticle.net/Article/A230895
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원문정보
초록
영어
In cognitive radio, most of existing research efforts devoted to spectrum sharing have two weakness as follows. First, they are largely formulated as a Markov decision process (MDP), which requires a complete knowledge of channel. Second, most of the studies are online learning based on perceived channel. To solve the above problems, a new algorithm is proposed in this paper: if the authorized user exists in the current channel, Second user will send conservatively in low rate, or send aggressively. When sending conservatively, the state of the channel is not directly observable, the problem turns out to be Partially Observable Markov Decision Process (POMDP).We first establish the optimal threshold when the channel is known, then consider the optimal transmission when the channel is unknown and model for multi-armed bandit. We get the optimal K-conservative policy through the UCB algorithm and improve the convergence speed by UCB-TUNED algorithm. Simulation and analysis results show that it is the same result of K-conservative policy no matter the multi-armed bandit online learning under not fully known channel or the optimal threshold policy under known channel .At the same time, we improve the convergence speed by UCB-TUNED algorithm.
목차
Abstract 1. Introduction 2. The System Model 2.1. POMDP Model 2.2. Channel Modeling based on POMDP 3. The known Channel State of the Optimal Transmission Threshold Strategy 3.1. K Conservative Strategy Structure Modeling 3.2. The Challenge of the K Conservative Strategy 3.3. UCB Algorithm 4. Simulation Results 4.1. The off-line Algorithm for Optimal Transmission Threshold Strategy 4.2. Online Learning Algorithm of K Arm Gambling Machine in the Unknown Channel State 5. Conclusions Acknowledgements References
키워드
spectrum sharingmulti-armed banditonline learningPartially Observable Markov Decision Process
저자
Juan Zhang [ the Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province , School of Information Engineering, Southwest University of Science and Technology, Mianyang, China ]
Hesong-Jiang [ the Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province , School of Information Engineering, Southwest University of Science and Technology, Mianyang, China ]
Hong Jiang [ the Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province , School of Information Engineering, Southwest University of Science and Technology, Mianyang, China ]
Chunmei Chen [ the Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province , School of Information Engineering, Southwest University of Science and Technology, Mianyang, China ]
보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Smart Home
간기
격월간
pISSN
1975-4094
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.8 No.3