Abstract
Cognitive radio techniques are becoming very popular to overcome the spectrum scarcity. For dynamic channel access, spectrum latency is a major bottleneck to achieve good QoS. In this paper, we have proposed distributed proactive channel scanning for different channel assignment policies of primary users (PUs). From periodic channel scanning, secondary users (SUs) store recent history of channel occupancy, and based on that decide the order of channel selection when demand comes, and switch channels proactively, if any better channel appears. For various channel allocation strategies of primary users, different channel selection algorithms are presented for secondary users to improve the spectrum latency as well as the channel switching overhead per call. Through simulation, the performance of the proposed strategies is compared with that of conventional cognitive radio. Results show that by the proposed scheme, the call drop/block rate decreases by more than \(30\%\) with significant reduction in interference, and hence improving the QoS of the system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yang L, Cao L, Zheng H (2008) Proactive channel access in dynamic spectrum networks. Phys Commun 1(2):103–111
Xiao Q, Li Y, Zhao M, Zhou S, Wang J (2009) Opportunistic channel selection approach under collision probability constraint in cognitive radio systems. Comput Commun 32(18):1914–1922
Chen Y, Zhao Q, Swami A (2007) Bursty traffic in energy-constrained opportunistic spectrum access. IEEE GLOBECOM 4641–4646
Unnikrishnan J, Veeravalli VV (2010) Algorithms for dynamic spectrum access with learning for cognitive radio. IEEE Trans Signal Process 58(2):750–760
Peng X, Zhong X, Xiao L, Zhou S, Opportunistic spectrum access based on channel quality under general collision constraints. In: IEEE 24th annual international symposium on personal, indoor, and mobile radio communications (PIMRC). IEEE, New York, pp 2633–2637
Peng X, Zhong X, Xiao L, Zhou S (2013) Robust opportunistic spectrum access based on channel quality information in varying multi-channel networks. In: IEEE global communications conference (GLOBECOM). IEEE, New York, pp 1240–1245
Kim H, Shin KG (2008) Fast discovery of spectrum opportunities in cognitive radio networks. In: 3rd IEEE symposium on new frontiers in dynamic spectrum access networks. IEEE, New York, pp 1–12
Kim H, Shin KG (2008) Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Trans Mob Comput 7(5):533–545
Yuan G, Grammenos RC, Yang Y, Wang W (2010) Performance analysis of selective opportunistic spectrum access with traffic prediction. IEEE Trans Veh Technol 59(4):1949–1959
Zhao Q, Geirhofer S, Tong L, Sadler BM (2008) Opportunistic spectrum access via periodic channel sensing. IEEE Trans Signal Process 56(2):785–796
Lee J, Park H-K (2014) Channel prediction-based channel allocation scheme for multichannel cognitive radio networks. J Commun Networks 16(2):209–216
Zheng S, Yang X, Chen S, Lou C (2011) Target channel sequence selection scheme for proactive-decision spectrum handoff. IEEE Commun Lett 15(12):1332–1334
Agarwal A, Gangopadhyay R, Dubey S, Debnath S, Khan MA (2018) Learning-based predictive dynamic spectrum access framework: a practical perspective for enhanced QoE of secondary users. IET Commun 12(18): 2243–2252. https://doi.org/10.1049/iet-com.2018.5407
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Das, A., Karar, S., Das, N., Ghosh, S.C. (2021). Pre-emptive Spectrum Access in Cognitive Radio for Better QoS. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-6584-7_12
Download citation
DOI: https://doi.org/10.1007/978-981-15-6584-7_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6583-0
Online ISBN: 978-981-15-6584-7
eBook Packages: EngineeringEngineering (R0)