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2021 | OriginalPaper | Buchkapitel

13. Impact of Buffer Size on Proactive Spectrum Handoff Delay in Cognitive Radio Networks

verfasst von : Shanidul Hoque, Banani Talukdar, Wasim Arif

Erschienen in: 5G and Beyond Wireless Systems

Verlag: Springer Singapore

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Abstract

Spectrum handoff (SH) is a vital process to guarantee seamless and effective services of secondary users (SUs) in cognitive radio networks (CRNs). SH delay has a negative impact on the performance of SUs. For simplicity, the PRP M/G/1 queuing model is used in literature to evaluate the SH delay parameters of CUs in a CRN. However, the design of an infinite buffer size queue in a real-time tele-traffic system is not feasible. We present pre-emptive resume priority (PRP) M/G/1/K queuing model comprising of three priority queues: primary user (PU) queue for higher priority PUs, interrupted user (IU) queue for moderate priority interrupted SUs and SU queue for lower priority newly arrived SUs, to derive the SH performance metrcs such as blocking probability and cumulative handoff delay (CHD) of SUs. This chapter analyses the impact of buffer length (K) on blocking probability and CHD for various proactive SH schemes: non-switching, switching and random SH schemes in CRNs. We present and summarise the detailed comparison of results for blocking probability and CHD in terms of PUs’ arrival rate and mobility parameter of spectrum holes for different K under PRP M/G/1/K queuing network model. Results show that the blocking probability decreases and the CHD increases with increasing value of K. For an optimal value of K, the proposed model offers similar performance to the PRP M/G/1 queuing network model.

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Literatur
Zurück zum Zitat Akyildiz IF, Lee W-Y, Vuran MC, Mohanty S (2006) Next generation/dynamic spectrum access/cognitive radio wireless networks—a survey. Comput Netw 50(13):2127–2159CrossRef Akyildiz IF, Lee W-Y, Vuran MC, Mohanty S (2006) Next generation/dynamic spectrum access/cognitive radio wireless networks—a survey. Comput Netw 50(13):2127–2159CrossRef
Zurück zum Zitat Akyildiz IF, Lee W-Y, Vuran MC, Mohanty S (2008) A survey on spectrum management in cognitive radio networks. IEEE Commun Mag 46(4):40–48CrossRef Akyildiz IF, Lee W-Y, Vuran MC, Mohanty S (2008) A survey on spectrum management in cognitive radio networks. IEEE Commun Mag 46(4):40–48CrossRef
Zurück zum Zitat Akyildiz IF, Lee WY, Chowdhury KR (2009) Spectrum management in cognitive radio ad hoc networks. IEEE Netw 23(4):6–12CrossRef Akyildiz IF, Lee WY, Chowdhury KR (2009) Spectrum management in cognitive radio ad hoc networks. IEEE Netw 23(4):6–12CrossRef
Zurück zum Zitat Bayrakdar ME, Çalhan A (2016) Performance analysis of proactive decision spectrum handoff for MAC protocols in cognitive radio networks. In: 24th signal processing and communication application conference (SIU), pp 481–484 Bayrakdar ME, Çalhan A (2016) Performance analysis of proactive decision spectrum handoff for MAC protocols in cognitive radio networks. In: 24th signal processing and communication application conference (SIU), pp 481–484
Zurück zum Zitat Bose SK (2002) An introduction to queuing systems. Kluwer Academic/Plenum Publishers, New YorkCrossRef Bose SK (2002) An introduction to queuing systems. Kluwer Academic/Plenum Publishers, New YorkCrossRef
Zurück zum Zitat Christian J, Moh S, Chung I, Lee J (2012) Spectrum mobility in cognitive radio networks. IEEE Commun Mag 50(6):114–121 Christian J, Moh S, Chung I, Lee J (2012) Spectrum mobility in cognitive radio networks. IEEE Commun Mag 50(6):114–121
Zurück zum Zitat Cisco Visual Networking Index (2016) Mobile data traffic forecast update, 2015–2020. CISCO, San Jose Cisco Visual Networking Index (2016) Mobile data traffic forecast update, 2015–2020. CISCO, San Jose
Zurück zum Zitat Cisco Visual Networking Index (2019) Mobile data traffic forecast update, 2017–2022. CISCO, San Jose Cisco Visual Networking Index (2019) Mobile data traffic forecast update, 2017–2022. CISCO, San Jose
Zurück zum Zitat FCC (2002) Spectrum policy task force report. ET Docket 02-155 FCC (2002) Spectrum policy task force report. ET Docket 02-155
Zurück zum Zitat Federal Communications Commission (FCC) (2003) Notice for proposed rulemaking (NPRM 03 322): facilitating opportunities for flexible, efficient, and reliable spectrum use employing spectrum agile radio technologies. ET Docket No. 03 108 Federal Communications Commission (FCC) (2003) Notice for proposed rulemaking (NPRM 03 322): facilitating opportunities for flexible, efficient, and reliable spectrum use employing spectrum agile radio technologies. ET Docket No. 03 108
Zurück zum Zitat Gkionis G, Sgora A, Vergados DD, Michalas A (2017) An effective spectrum handoff scheme for cognitive radio ad hoc networks. In: Wireless telecommunications symposium (WTS), pp 1–7 Gkionis G, Sgora A, Vergados DD, Michalas A (2017) An effective spectrum handoff scheme for cognitive radio ad hoc networks. In: Wireless telecommunications symposium (WTS), pp 1–7
Zurück zum Zitat Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 23:201–220CrossRef Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 23:201–220CrossRef
Zurück zum Zitat Hoque S, Shekhar S, Sen D, Arif W (2019) Analysis of handoff delay for proactive spectrum handoff scheme M with PRP/G/1/K queuing system in cognitive radio networks. IET Commun 13(6):706–711CrossRef Hoque S, Shekhar S, Sen D, Arif W (2019) Analysis of handoff delay for proactive spectrum handoff scheme M with PRP/G/1/K queuing system in cognitive radio networks. IET Commun 13(6):706–711CrossRef
Zurück zum Zitat Kumar K, Prakash A, Tripathi R (2016) Spectrum handoff in cognitive radio networks: a classification and comprehensive survey. J Netw Comput Appl 61:161–188CrossRef Kumar K, Prakash A, Tripathi R (2016) Spectrum handoff in cognitive radio networks: a classification and comprehensive survey. J Netw Comput Appl 61:161–188CrossRef
Zurück zum Zitat Lee DJ, Yeo WY (2015) Channel availability analysis of spectrum handoff in cognitive radio networks. IEEE Commun Lett 19(3):435–438CrossRef Lee DJ, Yeo WY (2015) Channel availability analysis of spectrum handoff in cognitive radio networks. IEEE Commun Lett 19(3):435–438CrossRef
Zurück zum Zitat Mathonsi TE, Kogeda OP (2016) Handoff delay reduction model for heterogeneous wireless networks. In: IST-Africa week conference, pp 1–7 Mathonsi TE, Kogeda OP (2016) Handoff delay reduction model for heterogeneous wireless networks. In: IST-Africa week conference, pp 1–7
Zurück zum Zitat McHenry M (2003) Spectrum white space measurements. New America Foundation Broadband Forum McHenry M (2003) Spectrum white space measurements. New America Foundation Broadband Forum
Zurück zum Zitat Miller LW (1975) Technical note—a note on the busy period of an M/G/1 finite queue. Oper Res 23(6):1179–1182CrossRef Miller LW (1975) Technical note—a note on the busy period of an M/G/1 finite queue. Oper Res 23(6):1179–1182CrossRef
Zurück zum Zitat Mitola J (2001) Cognitive radio for flexible mobile multimedia communications. Mob Netw Appl 6(5):435–441CrossRef Mitola J (2001) Cognitive radio for flexible mobile multimedia communications. Mob Netw Appl 6(5):435–441CrossRef
Zurück zum Zitat Mitola J, Maguire GQ (1999) Cognitive radio: making software radios more personal. IEEE Pers Commun Mag 6(4):13–18CrossRef Mitola J, Maguire GQ (1999) Cognitive radio: making software radios more personal. IEEE Pers Commun Mag 6(4):13–18CrossRef
Zurück zum Zitat Wang LC, Wang CW (2008) Spectrum handoff for cognitive radio networks: reactive-sensing or proactive-sensing. In: IEEE international performance, computing and communications conference, pp 343–348 Wang LC, Wang CW (2008) Spectrum handoff for cognitive radio networks: reactive-sensing or proactive-sensing. In: IEEE international performance, computing and communications conference, pp 343–348
Zurück zum Zitat Wang CW, Wang LC (2009) Modeling and analysis for proactive-decision spectrum handoff in cognitive radio networks. In: IEEE international conference on communications, pp 1–6 Wang CW, Wang LC (2009) Modeling and analysis for proactive-decision spectrum handoff in cognitive radio networks. In: IEEE international conference on communications, pp 1–6
Zurück zum Zitat Wang LC, Wang CW, Chang CJ (2012) Modeling and analysis for spectrum handoffs in cognitive radio networks. IEEE Trans Mob Comput 11(9):1499–1513CrossRef Wang LC, Wang CW, Chang CJ (2012) Modeling and analysis for spectrum handoffs in cognitive radio networks. IEEE Trans Mob Comput 11(9):1499–1513CrossRef
Zurück zum Zitat Wang C-X et al (2014) Cellular architecture and key technologies for 5G wireless communication networks. IEEE Commun Mag 52(2):122–130CrossRef Wang C-X et al (2014) Cellular architecture and key technologies for 5G wireless communication networks. IEEE Commun Mag 52(2):122–130CrossRef
Zurück zum Zitat Wu Y, Hu F, Kumar S, Guo M, Bao K (2013) Spectrum handoffs with mixed priority queuing model over cognitive radio networks. In: IEEE global conference on signal and information processing, pp 1194–1197 Wu Y, Hu F, Kumar S, Guo M, Bao K (2013) Spectrum handoffs with mixed priority queuing model over cognitive radio networks. In: IEEE global conference on signal and information processing, pp 1194–1197
Zurück zum Zitat Wu Y, Hu F, Zhu Y, Kumar S (2017) Optimal spectrum handoff control for CRN based on hybrid priority queuing and multi-teacher apprentice learning. IEEE Trans Veh Technol 66(3):2630–2642CrossRef Wu Y, Hu F, Zhu Y, Kumar S (2017) Optimal spectrum handoff control for CRN based on hybrid priority queuing and multi-teacher apprentice learning. IEEE Trans Veh Technol 66(3):2630–2642CrossRef
Zurück zum Zitat Zahed S, Awan I, Cullen A (2013) Analytical modeling for spectrum handoff decision in cognitive radio networks. Simul Model Pract Theory 38:98–114CrossRef Zahed S, Awan I, Cullen A (2013) Analytical modeling for spectrum handoff decision in cognitive radio networks. Simul Model Pract Theory 38:98–114CrossRef
Zurück zum Zitat Zakariya AY, Rabia SI (2016) Analysis of an interruption-based priority for multi-class secondary users in cognitive radio networks. In: IEEE international conference on communications (ICC), pp 1–6 Zakariya AY, Rabia SI (2016) Analysis of an interruption-based priority for multi-class secondary users in cognitive radio networks. In: IEEE international conference on communications (ICC), pp 1–6
Zurück zum Zitat Zheng MA, Zhengquan Z, Zhiguo D, Pingzhi F, Hengchao L (2015) Key techniques for 5G wireless communications: network architecture, physical layer, and MAC layer perspectives. Sci China Inform Sci 58(4):1–20 Zheng MA, Zhengquan Z, Zhiguo D, Pingzhi F, Hengchao L (2015) Key techniques for 5G wireless communications: network architecture, physical layer, and MAC layer perspectives. Sci China Inform Sci 58(4):1–20
Metadaten
Titel
Impact of Buffer Size on Proactive Spectrum Handoff Delay in Cognitive Radio Networks
verfasst von
Shanidul Hoque
Banani Talukdar
Wasim Arif
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-6390-4_13

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