PERFORMANCE ANALYSIS OF BINARY EXPONENTIAL BACKOFF MAC PROTOCOL FOR COGNITIVE RADIO IN THE IEEE 802.16E/M NETWORK

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초록

We propose a distributed MAC protocol for cognitive radio when primary network is IEEE 802.16e/m WiMAX. Our proposed MAC protocol is the Truncated Binary Exponential Backoff Algorithm where the backoff window size of algorithm is doubled at each collision, and the backoff counter is operated by frame basis in IEEE 802.16e/m and is freezed at a frame with no idle slots. We model our proposed MAC protocol as a 3-dimensional discrete time Markov chain and obtain steady state probability of the Markov chain by using a censored Markov chain method. Based on this steady state probability, we obtain the throughput, packet loss probability and packet delay distribution of secondary users. Our numerical examples show that the initial contention window size can be determined according to the number of secondary users in order to obtain higher throughput for secondary users, and the maximum backoff window has a large impact on the secondary user's packet loss probability. Secondary users' packet delay distribution is much influenced by the initial contention window size and the number of secondary users.

키워드

Cognitive radioexponential backoff MAC protocolcen-sored Markov chainthroughput
제목
PERFORMANCE ANALYSIS OF BINARY EXPONENTIAL BACKOFF MAC PROTOCOL FOR COGNITIVE RADIO IN THE IEEE 802.16E/M NETWORK
저자
Jin, ShengzhuChoi, Bong DaeEom, Doo Seop
DOI
10.3934/jimo.2017003
발행일
2017-07
유형
Article
저널명
Journal of Industrial and Management Optimization
13
3
페이지
1483 ~ 1494