Abstract
This chapter explores queuing systems as a recently employed but very potent analytical tool for achieving improved solutions in the resource allocation for cognitive radio networks. The chapter identifies that, especially for heterogeneous cognitive radio networks, some resource allocation problems, such as problems related to time delays and user prioritisation, are best analysed using queuing models/techniques. The chapter establishes the importance of queuing theory/systems in achieving improved resource allocation solutions for cognitive radio networks and discusses some highly relevant examples of the use of this tool for solving resource allocation problems in cognitive radio networks. The chapter concludes by describing a new configurable framework that smartly combines the ideas of queuing and optimisation in achieving resource allocation solutions for modern cognitive radio networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
B.S. Awoyemi, B.T. Maharaj, A.S. Alfa, Resource allocation in heterogeneous cooperative cognitive radio networks. Int. J. Commun. Syst. 30(11), e3247 (2017). dac.3247. https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.3247
L. Wang, W. Xu, Z. He, J. Lin, Algorithms for optimal resource allocation in heterogeneous cognitive radio networks, in Proceedings of the 2nd International Conference on PEITS, vol. 2 (2009), pp. 396–400
B.S. Awoyemi, B.T. Maharaj, A.S. Alfa, QoS provisioning in heterogeneous cognitive radio networks through dynamic resource allocation, in Proceedings of the IEEE AFRICON (2015), pp. 1–6
M. Kaplan, F. Buzluca, A dynamic spectrum decision scheme for heterogeneous cognitive radio networks, in Proceedings of the 24th International Symposium on ISCIS (2009), pp. 697–702
B.S. Awoyemi, B.T.J. Maharaj, A.S. Alfa, Solving resource allocation problems in cognitive radio networks: a survey. EURASIP J. Wirel. Commun. Netw. 2016(1), 176 (2016). https://doi.org/10.1186/s13638-016-0673-6
L. Zheng, C.W. Tan, Cognitive radio network duality and algorithms for utility maximization. IEEE J. Sel. Areas Commun. 31(3), 500–513 (2013)
B. Awoyemi, B. Maharaj, A. Alfa, Optimal resource allocation solutions for heterogeneous cognitive radio networks. Digital Commun. Netw. 3(2), 129–139 (2017). http://www.sciencedirect.com/science/article/pii/S2352864816301043
F. Palunčić, A.S. Alfa, B.T. Maharaj, H.M. Tsimba, Queueing models for cognitive radio networks: a survey. IEEE Access 6, 50801–50823 (2018)
A.S. Alfa, H.A. Ghazaleh, B.T. Maharaj, A discrete time queueing model of cognitive radio networks with multi-modal overlay/underlay switching service levels, in 2018 14th International Wireless Communications Mobile Computing Conference (IWCMC) (2018), pp. 1030–1035
A.S. Alfa, Queueing Theory for Telecommunications. LLC (Springer Science+Business Media, New York, 2010)
H.M. Tsimba, B.T. Maharaj, A.S. Alfa, Increased spectrum utilisation in a cognitive radio network: an m/m/1-ps queue approach, in 2017 IEEE Wireless Communications and Networking Conference (WCNC) (2017), pp. 1–6
B.S. Awoyemi, B.T. Maharaj, A.S. Alfa, Resource allocation in heterogeneous buffered cognitive radio networks. Wirel. Commun. Mob. Comput. 2017(7385627), 1–12 (2017)
S. Wang, B.T. Maharaj, A.S. Alfa, Resource allocation and performance measures in multi-user multi-channel cognitive radio networks, in 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring) (2016), pp. 1–5
S. Wang, B.T. Maharaj, A.S. Alfa, Queueing analysis of performance measures under a new configurable channel allocation in cognitive radio. IEEE Trans. Vehi. Technol. 67(10), 9571–9582 (2018)
S. Wang, S. Maharaj, A.S. Alfa, A virtual control layer resource allocation framework for heterogeneous cognitive radio network. IEEE Access 7, 111605–111616 (2019)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Maharaj, B.T., Awoyemi, B.S. (2022). Queuing Systems in Resource Allocation Optimisation for Cognitive Radio Networks. In: Developments in Cognitive Radio Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-64653-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-64653-0_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-64652-3
Online ISBN: 978-3-030-64653-0
eBook Packages: EngineeringEngineering (R0)