activity
20092023
most citedLow Complexity Transceiver Design for GFDM

161 citations · 335 across the 55 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.IT2019

Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs

Ramy Amer, Walid Saad, Nicola Marchetti

Providing connectivity to unmanned aerial vehicle-user equipments such as drones or flying taxis is a major challenge for tomorrow cellular systems. In this paper, the use of coord…

eess.SP2019

Towards a Connected Sky: Performance of Beamforming with Down-tilted Antennas for Ground and UAV User Co-existence

Ramy Amer, Walid Saad, Nicola Marchetti

Providing connectivity to aerial users such as cellular connected unmanned aerial vehicles is a key challenge for future cellular systems. In this paper, the use of conjugate beamf…

cs.IT2019

Application of Flexible Numerology to Blockage Mitigation in 5G-mmWave Networks

Fadhil Firyaguna, Jacek Kibilda, Nicola Marchetti

The 5G New Radio (NR) standard for wireless communications supports the millimetre-wave (mmWave) spectrum to yield unprecedented improvement of the access network capacity. However…

eess.SP2019

Energy Efficient WSN: a Cross-layer Graph Signal Processing Solution to Information Redundancy

Alessandro Chiumento, Nicola Marchetti, Irene Macaluso

In this work an iterative solution to build a network lifetime-preserving sampling strategy for WSNs is presented. The paper describes the necessary steps to reconstruct a graph fr…

cs.NI2019

Minimizing the Signaling Overhead and Latency based on Users' Mobility Patterns

Merim Dzaferagic, Nicola Marchetti, Irene Macaluso

We demonstrate a distributed and a centralized 4G/5G compliant approach to minimize signaling and latency related to user mobility in cellular networks. This is crucial due to the…

cs.DC2019

Improving In-Network Computing in IoT Through Degeneracy

Merim Dzaferagic, Neal McBride, Ryan Thomas +2

We present a novel way of considering in-network computing (INC), using ideas from statistical physics. We define degeneracy for INC as the multiplicity of possible options availab…