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dc.contributor.authorAli, Muhammad*
dc.contributor.authorPillai, Prashant*
dc.contributor.authorHu, Yim Fun*
dc.contributor.authorXu, Kai J.*
dc.contributor.authorCheng, Yongqiang*
dc.contributor.authorPillai, Anju*
dc.date.accessioned2016-10-07T14:25:02Z
dc.date.available2016-10-07T14:25:02Z
dc.date.issued2013
dc.identifier.citationAli M, Pillai P, Hu YF et al (2013) Fuzzy based CRRM for load balancing in heterogenous wireless networks. In: Proceedings of the 5th International Conference on Personal Satellite Services, PSATS 2013. 27-28 Jun 2013. Toulouse, France. Springer: 135-145.
dc.identifier.urihttp://hdl.handle.net/10454/9602
dc.descriptionNo
dc.description.abstractThe ever increasing user QoS demands and emergence of new user applications make job of network operators and manufacturers more challenging for efficiently optimisation and managing radio resources in radio the radio resources pools of different wireless networks. A group of strategies or mechanisms which are collectively responsible for efficient utilisation of radio resources available within the Radio Access Technologies (RAT) are termed as Radio Resource Management (RRM). The traditional RRM strategies are implemented independently in each RAT, as each RRM strategy considers attributes of a particular access technology. Therefore traditional RRM strategies are not suitable for heterogeneous wireless networks. Common Radio Resource Management (CRRM) or joint radio resource management (JRRM) strategies are proposed for coordinating radio resource management between multiple RATs in an improved manner. In this paper a fuzzy algorithm based CRRM strategy is presented to efficiently utilise the available radio resources in heterogeneous wireless networks. The proposed CRRM strategy balances the load in heterogeneous wireless networks and avoids the unwanted congestion situation. The results such as load distribution, packet drop rate and average throughput at mobile nodes are used to demonstrate the benefits of load balancing in heterogeneous wireless networks using proposed strategy.
dc.subjectCRRM; Load balancing; Radio resource management; Heterogeneous wireless networks; Load balancing in wireless networks; Vertical handovers; Satellite-terrestrial wireless networks load balancing
dc.titleFuzzy based CRRM for load balancing in heterogenous wireless networks
dc.status.refereedYes
dc.typeConference Paper
dc.type.versionNo full-text available in the repository
dc.identifier.doihttps://doi.org/10.1007/978-3-319-02762-3_12


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