[1] Zhang Lei, Song Tiecheng, Wu Ming, Hu Jing, et al. Analysis of cumulative handoff delayfor graded secondary users in cognitive radio networks [J]. Journal of Southeast University (English Edition), 2013, 29 (2): 111-117. [doi:10.3969/j.issn.1003-7985.2013.02.001]

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Analysis of cumulative handoff delayfor graded secondary users in cognitive radio networks()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

29

Issue:

2013 2

Page:

111-117

Research Field:

Information and Communication Engineering

Publishing date:

2013-06-20

Info

Title:

Analysis of cumulative handoff delayfor graded secondary users in cognitive radio networks

Author(s):

Zhang Lei;  Song Tiecheng;  Wu Ming;  Hu Jing

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Keywords:

cognitive radio network;  graded secondary users;  multiple spectrum handoffs;  cumulative handoff delay;  admission access region

PACS:

TN915

DOI:

10.3969/j.issn.1003-7985.2013.02.001

Abstract:

According to the fact that the secondary users’ delay requirements for data transmission are not unitary in cognitive radio networks, the secondary users are divided into two classes, denoted by SU1 and SU2, respectively. It is assumed that SU1 has a higher priority to occupy the primary users’ unutilized channels than SU2. A preemptive resume priority M/G/1 queuing network is used to model the multiple spectrum handoffs processing. By using a state transition probability matrix and a cost matrix, the average cumulative delays of SU1 and SU2 are calculated, respectively. Numerical results show that the more the primary user’s traffic load, the more rapidly the SU2’s cumulative handoff delay grows. Compared with the networks where secondary users are unitary, the lower the SU1’s arrival rate, the more obviously both SU1’s and SU2’s handoff delays decrease. The admission access regions limited by the maximum tolerable delay can also facilitate the design of admission control rules for graded secondary users.

References:

[1] Devroye N, Vu M, Tarokh V. Cognitive radio networks[J]. IEEE Signal Processing Magazine, 2008, 25(6): 12-23.
[2] Christian I, Moh S, Chung I, et al. Spectrum mobility in cognitive radio networks[J]. IEEE Communications Magazine, 2012, 50(6): 114-121.
[3] Wang L C, Wang C W, Chang C J. Modeling and analysis for spectrum handoffs in cognitive radio networks[J]. IEEE Transactions on Mobile Computing, 2012, 11(99): 1499-1513.
[4] Lee W Y, Akyildiz I F. Spectrum-aware mobility management in cognitive radio cellular networks[J]. IEEE Transactions on Mobile Computing, 2012, 11(4): 529-542.
[5] Lertsinsrubtavee A, Malouch N, Fdida S. Controlling spectrum handoff with a delay requirement in cognitive radio networks [C]//21st International Conference on Computer Communications and Networks. Munich, Germany, 2012:6289234-1-6289234-8.
[6] Lee D J, Jang M S. Optimal spectrum sensing time considering spectrum handoff due to false alarm in cognitive radio networks[J]. IEEE Communications Letters, 2009, 13(12): 899-901.
[7] Xie X Z, Yang G, Ma B. Spectrum handoff decision algorithm with dynamic weights in cognitive radio networks [C]//2011 Global in Mobile Congress. Shanghai, China, 2011:6103935-1-6103935-6.
[8] Hu W D, Willkomm D, Abusubaih M, et al. Cognitive radios for dynamic spectrum access-dynamic frequency hopping communities for efficient IEEE 802.22 operation[J]. IEEE Communications Magazine, 2007, 45(5):80-87.
[9] Wang C W, Wang L C. Modeling and analysis for proactive-decision spectrum handoff in cognitive radio networks [C]//Proceedings of IEEE International Conference on Communications. Dresden, Germany, 2009:5199189-1-5199189-6.
[10] Wang C W, Wang L C, Adachi F. Modeling and analysis for reactive-decision spectrum handoff in cognitive radio networks [C]//2010 IEEE Global Telecommunications Conference. Miami, FL, USA, 2010:5683644-1-5683644-6.
[11] Kim K. T-preemptive priority queue and its application to the analysis of an opportunistic spectrum access in cognitive radio networks[J]. Computer and Operations Research, 2012, 39(7): 1394-1401.
[12] Wang L C, Wang C W, Feng K T. A queueing-theoretical framework for QoS-enhanced spectrum management in cognitive radio networks[J]. IEEE Wireless Communications, 2011, 18(6): 18-26.
[13] Stevenson C, Chouinard G, Hu W D, et al. IEEE 802.22: the first cognitive radio wireless regional area network standard[J]. IEEE Communications Magazine, 2009, 47(1): 130-138.
[14] Jiang H, Lai L F, Fan K R, et al. Optimal selection of channel sensing order in cognitive radio[J]. IEEE Transactions on Wireless Communications, 2009, 8(1): 297-307.
[15] Wang C W, Wang L C, Adachi F. Performance gains for spectrum utilization in cognitive radio networks with spectrum handoff [C]//The 12th International Symposium on Wireless Personal Multimedia Communications. Sendai, Japan, 2009.

Memo

Memo:

Biographies: Zhang Lei(1986—), male, graduate; Song Tiecheng(corresponding author), male, doctor, professor, songtc@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.60972026, 61271207), the National Science and Technology Major Project(No.2010ZX03006-002-01), the Specialized Research Fund for the Doctoral Program of Higher Education(No.20090092110009), the Specialized Development Foundation for the Achievement Transformation of Jiangsu Province(No.BA2010023).
Citation: Zhang Lei, Song Tiecheng, Wu Ming, et al. Analysis of cumulative handoff delay for graded secondary users in cognitive radio networks[J].Journal of Southeast University(English Edition), 2013, 29(2):111-117.[doi:10.3969/j.issn.1003-7985.2013.02.001]

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