Integrating Two Feedback Queuing Discipline into Cognitive Radio Channel Aggregation

Ebenezer Esenogho, Elie Ngomseu Mambou, Hendrik Ferreira

Abstract


Queuing regime is one outstanding approach in
improving channel aggregation. If well designed and incorporated
with carefully selected parameters, it enhances the smooth
rollout of fifth/next generation wireless networks. While channel
aggregation is the merging of scattered TV white space (spectrum
holes) into one usable chunk for secondary users (SU). The
queuing regime ensures that these unlicensed users (SUs) traffic/
services are not interrupted permanently (blocked/dropped or
forced to terminate) in the event of the licensed users (primary
user) arrival. However, SUs are not identical in terms of traffic
class and bandwidth consumption hence, they are classified as
real time and non-real time SU respectively. Several of these
strategies have been studied considering queuing regime with a
single feedback queuing discipline. In furtherance to previous
proposed work with single feedback queuing regime, this paper
proposes, develops and compares channel aggregation policies
with two feedback queuing regimes for the different classes of
SUs. The investigation aims at identifying the impacts of the twofeedback
queuing regime on the performance of the secondary
network such that any SU that has not completed its ongoing
service are queued in their respective buffers. The performance is
evaluated through a simulation framework. The results validate
that with a well-designed queuing regime, capacity, access and
other indices are improved with significant decrease in blocking
and forced termination probabilities respectively.


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References


Y. Liang, K. Cheng, G. Ye. Li, and P. Mahonen, “Cognitive radio network and communication: an overview,” IEEE Transactions on Vehicular Technology, vol. 60, no. 7, pp. 3386-3407, Sept. 2011.

A. Domenico, E. C. Strinati, and M. G. Benedetto, “Survey on MAC

strategies for cognitive radio network,” IEEE Communication Survey

and Tutorials, vol. 14, no. 1, pp. 21-43, 2012.

V. T. Nguyen, F. Villain, and Y. L. Guillou, “Cognitive radio RF:

overview and challenges,” VLSI Design, vol. 2012, pp. 1-13, Feb. 2012.

H. Su and X. Zhang, “Cross-layer based opportunistic MAC protocol for QoS providing over cognitive radio wireless networks,” IEEE Journal

on Selected Area in Communication, vol. 26, no. 1, pp. 118-129, Jan.

L. Jiao, F. Y. Li, and V. Pla, “Modelling and performance analysis

of channel assembling in multi-channel cognitive radio networks with

spectrum adaptation,” IEEE Transactions on Vehicular Technology, vol.

, no. 6, p. 26862697, Jul. 2012.

L. Jiao, E. Song, V. Pla, and F. Y. Li, “Capacity upper bound of channel

assembling in cognitive radio networks with quasi-stationary primary

user activities,” IEEE Transactions on Vehicular Technology, vol. 62,

no. 4, pp. 1849-1855, May 2013.

I. A. M. Balapuwaduge, L. Jiao, V. Pla, and F. Y. Li, “Channel assembling with priority-based queue in cognitive radio network: strategy and performance,” IEEE Transaction on wireless Communication, vol. 13,

no. 2, pp. 630-645, Feb. 2014.

E. Esonogho and T. Walingo, “Performance evaluation of channel

assembling strategies with multi-class secondary users in cognitive

radio networks,” Southern Africa Telecommunication, Networking and

Application Conference, Cape Town, South Africa, Sept. 6-9, 2015, pp.

-86.

E. Esenogho and T. Walingo, “evaluation of channel assembling strategies with single-class secondary users in cognitive radio networks,” IEEE Wireless Vitae, Hyderabad, India, Dec. 13-16, 2015.

T. M. N. Ngatched, S. Dong, and A. S. Alfa, “Analysis of cognitive radio networks with channel assembling, buffering, and imperfect sensing,” IEEE Wireless Communications and Networking Conference, Shanghai, China, Apr. 7-10 2013, pp. 952-957.

L. Li, S. Zhang, K. Wang, and W. Zhou, “Queuing method in combined channel assembling and fragmentation strategy for dynamic spectrum access,” IEEE Symposium on personal, Indoor, and Mobile Radio

Communication, Sydney, Australia, Sept. 9-12, 2012, pp. 1214-1219.

L. Jiao, F. Y. Li, and V. Pla, “Greedy versus dynamic channel assembling strategy in CRNs: Markov models and performance evaluation,” International Networking Conference, Valencia, Spain, May 9-13, 2011, pp. 22-31.

L. Jiao, F. Y. Li, and V. Pla, “Analysis on channel bonding/assembling

for multi-channel cognitive radio networks,” IEEE European Wireless

Conference, Lucca, Italy, Apr. 12-15, 2010, pp. 468-474.

X. Wang, Q. Liu, and G. B. Giannakis, “Analyzing and optimizing

adaptive modulation coding jointly with ARQ for QoS-guaranteed

Traffic,” IEEE Transactions On Vehicular Technology, vol. 56, no. 2,

pp. 710-720, Mar. 2007.

J. Razavilar, K. J. R. Liu, and S. I. Marcus,, “Jointly optimized bitrate/

delay control policy for wireless packet networks with fading

channels,” IEEE Transactions on Communication, vol. 50, no. 3, pp.

, Mar. 2002.

V. B. Iversen, “Teletraffic engineering and network planning”,

Technical University of Denmark, 2011. [Online]. Available:

http://oldwww.com.dtu.dk/education/34340/telenook.pdf [Accessed

January 2016].

G. Bolch, S. Greiner, H. de Meer and K. S. Trivedi, “Queuing networks and Markow chains: modelling and performance evaluation with

computer science applications”, Wiley-Interscience, May 2006.


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