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Research Themes

Content Distribution for Mobile Devices

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altera dsp builder crack We investigate techniques and algorithms for pushing popular content close to the mobile users, that is, caching popular content at the network edges (i.e, in small-cell base stations) in order to reduce delay and alleviate congestion in the backhaul link of these small-cell base stations.
pan fry crackling Our research focuses into two areas: 1) fundamental limits of content caching by using tools from information theory and coding, and 2) practical algorithms for content caching: by using techniques from multi-armed bandit problems we design algorithms that learn the popularity profile while optimising the cache content.

Cyber-security and Privacy

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crack head of gayle creek In our research group we study the theoretical limits of privacy-preserving techniques and we try to improve them. We focus on smart grids and we consider the presence of an energy harvester in the system in order to mask the real users' energy consumptions.

Energy Harvesting Wireless Communications

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crack einfach tierisch Our research covers three major areas, which depend on the amount of information about the energy availability at the node, namely 1) offline optimization (predictable energy availability), 2) online optimization (energy availability is random and its distribution is known, 3) learning optimization (energy availability is random and its distribution has to be learn). We study communication for a number of communication system topologies, such as relay communications, multi-access channel communication, as well as point-to-point with energy harvesting.
activate office 2010 xp crack We use techniques coming from Machine Learning and Operations research such as Reinforcement Learning and Multi-armed bandit optimization for the communication strategy design and node operation.

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Joint Source Channel Coding

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