Service Time Analysis for Secondary Packet Transmission with Adaptive Modulation

Handle URI:
http://hdl.handle.net/10754/623908
Title:
Service Time Analysis for Secondary Packet Transmission with Adaptive Modulation
Authors:
Wang, Wen-Jing; Usman, Muneer; Yang, Hong-Chuan; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Cognitive radio communications can opportunistically access underutilized spectrum for emerging wireless applications. With interweave cognitive implementation, secondary user transmits only if primary user does not occupy the channel and waits for transmission otherwise. Therefore, secondary packet transmission involves both transmission time and waiting time. The resulting extended delivery time (EDT) is critical to the throughput analysis of secondary system. In this paper, we study the EDT of secondary packet transmission with adaptive modulation under interweave implementation to facilitate the delay and throughput analysis of such cognitive radio system. In particular, we propose an analytical framework to derive the probability density functions of EDT considering random-length transmission and waiting slots. We also present selected numerical results to illustrate the mathematical formulations and to verify our analytical approach.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Wang W-J, Usman M, Yang H-C, Alouini M-S (2017) Service Time Analysis for Secondary Packet Transmission with Adaptive Modulation. 2017 IEEE Wireless Communications and Networking Conference (WCNC). Available: http://dx.doi.org/10.1109/wcnc.2017.7925575.
Publisher:
IEEE
Journal:
2017 IEEE Wireless Communications and Networking Conference (WCNC)
Issue Date:
12-May-2017
DOI:
10.1109/wcnc.2017.7925575
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/document/7925575/
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorWang, Wen-Jingen
dc.contributor.authorUsman, Muneeren
dc.contributor.authorYang, Hong-Chuanen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-05-31T11:23:13Z-
dc.date.available2017-05-31T11:23:13Z-
dc.date.issued2017-05-12en
dc.identifier.citationWang W-J, Usman M, Yang H-C, Alouini M-S (2017) Service Time Analysis for Secondary Packet Transmission with Adaptive Modulation. 2017 IEEE Wireless Communications and Networking Conference (WCNC). Available: http://dx.doi.org/10.1109/wcnc.2017.7925575.en
dc.identifier.doi10.1109/wcnc.2017.7925575en
dc.identifier.urihttp://hdl.handle.net/10754/623908-
dc.description.abstractCognitive radio communications can opportunistically access underutilized spectrum for emerging wireless applications. With interweave cognitive implementation, secondary user transmits only if primary user does not occupy the channel and waits for transmission otherwise. Therefore, secondary packet transmission involves both transmission time and waiting time. The resulting extended delivery time (EDT) is critical to the throughput analysis of secondary system. In this paper, we study the EDT of secondary packet transmission with adaptive modulation under interweave implementation to facilitate the delay and throughput analysis of such cognitive radio system. In particular, we propose an analytical framework to derive the probability density functions of EDT considering random-length transmission and waiting slots. We also present selected numerical results to illustrate the mathematical formulations and to verify our analytical approach.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7925575/en
dc.titleService Time Analysis for Secondary Packet Transmission with Adaptive Modulationen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2017 IEEE Wireless Communications and Networking Conference (WCNC)en
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Victoria, BC, V8W 3P6, Canadaen
dc.contributor.institutionGoogle Inc, Mountain View, CA 94043 USAen
kaust.authorAlouini, Mohamed-Slimen
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