Abstract
AbstractRecently, network slicing (NS) has been introduced as a key enabler to accommodate diversified services in network functions virtualization–enabled software‐defined mobile networks. Although there has been some research work on network slice deployment and configuration, how user equipments select the most appropriate network slice is still an essential yet challenging issue, as slice selection may substantially affect the resource utilization and user Quality of Service (QoS). In this paper, we investigate the optimal selection of end‐to‐end slices with the aim of improving network resources utilization while guaranteeing the QoS of users. We formulate the optimal slice selection problem as maximizing the users satisfaction degree and prove it is NP‐hard. We thus resort to genetic algorithm (GA) to find a suboptimal solution and develop a GA‐based heuristic algorithm. The effectiveness of our proposed NS selection algorithm is validated via simulation experiments.
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