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We formulate and solve the energy minimization problem for a clustered device-to-device (D2D) network with cache-enabled mobile devices.

Channel state information (CSI) acquisition is one of the fundamental problems in wireless communications.

With an increase in number of software defined network (SDN) deployments, and OpenFlow consolidating as the protocol of choice for controller-switch interactions, a need to analytically model the s

We work on an approach that uses annotated MSCs as main input to an automated tool chain that generates a system simulation model for signalling messages.

Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network.

We consider quantum multicast networks in which quantum states generated by multiple sources have to be simultaneously delivered to multiple receivers.

We study the approximability of multidimensional generalizations of three classical packing problems: multiprocessor scheduling, bin packing, and the knapsack problem.

Currently available in-house communication channels have been identified as suitable for broadband data communication.

While existing research shows that feedback-based congestion control mechanisms are capable of providing better video quality and higher link utilization for rate-adaptive packet video, there has b

We consider a finite-field model for the wireless broadcast and additive interference network (WBAIN), both in the presence and absence of fading.