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We examine decentralized learning and access algorithms for opportunistic spectrum access with multiple users. Several distributed algorithms have been proposed for this problem, mainly as an application of corresponding algorithms for the multiarmed bandit problem, which are provably order optimal in terms of regret. However, none of them pays particular attention to reducing collisions among users...
Software-defined networking is at the root of future 5G transport network design. Among others, it allows for automated network reconfiguration and network slicing support. In this paper we present an OpenFlow-based implementation of a control plane area in the transport network architecture envisioned by the 5G-XHaul project. We analyze the implementation of the slicing mechanism at the network edge...
Motivated by the recent proliferation of advanced handheld devices and the unprecedented growth of mobile data traffic, this paper proposes the concept of Mobile edge-Networks (MeNs), a solution that leverages the end-user devices to enhance the performance of emerging 5G systems. MeNs enable mobile users to collaborate with each other and address in a bottom-up fashion key problems in wireless systems,...
The constantly increasing diversity of the infrastructure used to deliver Internet services to the end user has created a demand for experimental network facilities featuring heterogeneous resources. Therefore, federation of existing network testbeds has been identified as a key goal in the testbed community, leading to a recent activity burst in this research field. In this paper, we present a federation...
Queue-based cross-layer optimization algorithms have recently been a subject of intensive research in wireless networks. Their purpose is to guarantee stable operation and to achieve some form of fairness among users, whenever the traffic demand exceeds network capacity. Despite the plethora of work in this field, the scenario where one or more nodes declare false queue backlog values in order to...
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