TY - GEN
T1 - Performance analysis of binary exponential backoff MAC protocol for cognitive radio in the IEEE 802.16e/m network
AU - Jin, Shengzhu
AU - Choi, Bong Dae
AU - Eom, Doo-Seop
PY - 2016
Y1 - 2016
N2 - We propose a distributed MAC protocol for cognitive radio when primary network is IEEE 802.16e/m WiMAX. Our proposed MAC protocol is Truncated Binary Exponential Backoff Algorithm where backoff stage of algorithm is doubled at each collision, and backoff counter is operated by frame basis 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 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 stage has a large impact on the secondary user’s packet loss probability.
AB - We propose a distributed MAC protocol for cognitive radio when primary network is IEEE 802.16e/m WiMAX. Our proposed MAC protocol is Truncated Binary Exponential Backoff Algorithm where backoff stage of algorithm is doubled at each collision, and backoff counter is operated by frame basis 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 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 stage has a large impact on the secondary user’s packet loss probability.
KW - Censored Markov chain
KW - Cognitive radio
KW - Exponential backoff MAC protocol
KW - Throughput
UR - http://www.scopus.com/inward/record.url?scp=84946416542&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-22267-7_8
DO - 10.1007/978-3-319-22267-7_8
M3 - Conference contribution
AN - SCOPUS:84946416542
SN - 9783319222660
VL - 383
T3 - Advances in Intelligent Systems and Computing
SP - 81
EP - 89
BT - Advances in Intelligent Systems and Computing
PB - Springer Verlag
T2 - 10th International Conference on Queueing Theory and Network Applications, QTNA 2015
Y2 - 17 August 2014 through 20 August 2014
ER -