activity
20172021
collaborators

6 papers

cs.NI2021

Leveraging Machine Learning for Industrial Wireless Communications

Ilaria Malanchini, Patrick Agostini, Khurshid Alam +10

Two main trends characterize today's communication landscape and are finding their way into industrial facilities: the rollout of 5G with its distinct support for vertical industri…

eess.SP2020

Learning-Based Link Scheduling in Millimeter-wave Multi-connectivity Scenarios

Cristian Tatino, Nikolaos Pappas, Ilaria Malanchini +2

Multi-connectivity is emerging as a promising solution to provide reliable communications and seamless connectivity for the millimeter-wave frequency range. Due to the blockage sen…

cs.NI2018

On the Benefits of Network-Level Cooperation in Millimeter-Wave Communications

Cristian Tatino, Nikolaos Pappas, Ilaria Malanchini +2

Relaying techniques for millimeter-wave wireless networks represent a powerful solution for improving the transmission performance. In this work, we quantify the benefits in terms…

cs.NI2018

Maximum Throughput Scheduling for Multi-connectivity in Millimeter-Wave Networks

Cristian Tatino, Ilaria Malanchini, Nikolaos Pappas +1

Multi-connectivity is emerging as promising solution to provide reliable communications and seamless connectivity at the millimeter-wave frequency range. Due to the obstacles that…

cs.NI2018

Throughput Analysis for Relay-Assisted Millimeter-Wave Wireless Networks

Cristian Tatino, Nikolaos Pappas, Ilaria Malanchini +2

In this work, we analyze the throughput of random access multi-user relay-assisted millimeter-wave wireless networks, in which both the destination and the relay have multipacket r…

cs.NI2017

Beam Based Stochastic Model of the Coverage Probability in 5G Millimeter Wave Systems

Cristian Tatino, Ilaria Malanchini, Danish Aziz +1

Communications using frequency bands in the millimeter-wave range can play a key role in future generations of mobile networks. By allowing large bandwidth allocations, high carrie…