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dc.contributor.authorSorour, Sameh
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2015-08-04T07:14:37Z
dc.date.available2015-08-04T07:14:37Z
dc.date.issued2013-06
dc.identifier.citationSorour, S., Al-Naffouri, T. Y., & Alouini, M.-S. (2013). Collaborative multi-layer network coding for cellular cognitive radio networks. 2013 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2013.6655557
dc.identifier.isbn9781467331227
dc.identifier.issn15503607
dc.identifier.doi10.1109/ICC.2013.6655557
dc.identifier.urihttp://hdl.handle.net/10754/564748
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleCollaborative multi-layer network coding for cellular cognitive radio networks
dc.typeConference Paper
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2013 IEEE International Conference on Communications (ICC)
dc.conference.date9 June 2013 through 13 June 2013
dc.conference.name2013 IEEE International Conference on Communications, ICC 2013
dc.conference.locationBudapest
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia
kaust.personSorour, Sameh
kaust.personAl-Naffouri, Tareq Y.
kaust.personAlouini, Mohamed-Slim


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