Match: Multiple Access For Multiple Traffic Classes In 5g Hetnets

2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)(2018)

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摘要
Ultra-Dense Heterogeneous Network deployments are expected to boost the offered network capacity and enhance the user-perceived Quality of Experience, through the simultaneous offering of multiple technologies using distinct or shared wireless spectrum. In such environments with a plethora of available Radio Access Technologies (RATs), the network UEs shall decide either independently or assisted through operator based services on which network they shall use to better serve their needs. In this work, we model the network selection problem in a Multi-RAT system, based on the Paris Metro Pricing (PMP) scheme, enhanced with dynamic pricing formed by the congestion of each available technology. We assume that the network UEs are equipped with multi-homing features and thus are able to use concurrently more than one technologies, based on the requirements of the applications requesting network connectivity (e.g. UHD video streaming). We port and experimentally evaluate the proposed system model over a testbed setup, using distributed components running at the UEs and at a Core Network controller. We provide evaluation results on the average cost per UE for the selected RATs, the average data rate distribution of each UE per RAT and how these performance metrics are affected under different client ordering policies at the network controller.
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关键词
UE,multiple traffic classes,multiple technologies,distinct shared wireless spectrum,operator based services,network selection problem,dynamic pricing,multihoming features,network connectivity,system model,RAT,multiple access,network capacity,radio access technologies,5G HetNets,ultra-dense heterogeneous network deployments,network UE,multiRAT system,Paris metro pricing scheme,core network controller
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