Collaborative multi-layer network coding for cellular cognitive radio networks

Handle URI:
http://hdl.handle.net/10754/564748
Title:
Collaborative multi-layer network coding for cellular cognitive radio networks
Authors:
Sorour, Sameh; Al-Naffouri, Tareq Y.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, we propose a prioritized multi-layer network coding scheme for collaborative packet recovery in underlay cellular cognitive radio networks. This scheme allows the collocated primary and cognitive radio base-stations to collaborate with each other, in order to minimize their own and each other's packet recovery overheads, and thus improve their throughput, without any coordination between them. This non-coordinated collaboration is done using a novel multi-layer instantly decodable network coding scheme, which guarantees that each network's help to the other network does not result in any degradation in its own performance. It also does not cause any violation to the primary networks interference thresholds in the same and adjacent cells. Yet, our proposed scheme both guarantees the reduction of the recovery overhead in collocated primary and cognitive radio networks, and allows early recovery of their packets compared to non-collaborative schemes. Simulation results show that a recovery overhead reduction of 15% and 40% can be achieved by our proposed scheme in the primary and cognitive radio networks, respectively, compared to the corresponding non-collaborative scheme. © 2013 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE International Conference on Communications (ICC)
Conference/Event name:
2013 IEEE International Conference on Communications, ICC 2013
Issue Date:
Jun-2013
DOI:
10.1109/ICC.2013.6655557
Type:
Conference Paper
ISSN:
15503607
ISBN:
9781467331227
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSorour, Samehen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:14:37Zen
dc.date.available2015-08-04T07:14:37Zen
dc.date.issued2013-06en
dc.identifier.isbn9781467331227en
dc.identifier.issn15503607en
dc.identifier.doi10.1109/ICC.2013.6655557en
dc.identifier.urihttp://hdl.handle.net/10754/564748en
dc.description.abstractIn this paper, we propose a prioritized multi-layer network coding scheme for collaborative packet recovery in underlay cellular cognitive radio networks. This scheme allows the collocated primary and cognitive radio base-stations to collaborate with each other, in order to minimize their own and each other's packet recovery overheads, and thus improve their throughput, without any coordination between them. This non-coordinated collaboration is done using a novel multi-layer instantly decodable network coding scheme, which guarantees that each network's help to the other network does not result in any degradation in its own performance. It also does not cause any violation to the primary networks interference thresholds in the same and adjacent cells. Yet, our proposed scheme both guarantees the reduction of the recovery overhead in collocated primary and cognitive radio networks, and allows early recovery of their packets compared to non-collaborative schemes. Simulation results show that a recovery overhead reduction of 15% and 40% can be achieved by our proposed scheme in the primary and cognitive radio networks, respectively, compared to the corresponding non-collaborative scheme. © 2013 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleCollaborative multi-layer network coding for cellular cognitive radio networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2013 IEEE International Conference on Communications (ICC)en
dc.conference.date9 June 2013 through 13 June 2013en
dc.conference.name2013 IEEE International Conference on Communications, ICC 2013en
dc.conference.locationBudapesten
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabiaen
kaust.authorSorour, Samehen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
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