activity
20112020
most citedLow Complexity Transceiver Design for GFDM

161 citations · 451 across the 21 of their papers we have counts for

collaborators

28 papers

cs.NI2020★ 1 cited

Towards scalable user-deployed ultra-dense networks: Blockchain-enabled small cells as a service

Emanuele Di Pascale, Hamed Ahmadi, Linda Doyle +1

Neutral Host Small Cell Providers (SCP) represent a key element of the 5G vision of ultra-dense mobile networks. However, current business models mostly focus on multi-year agreeme…

eess.SP2020

Blind Channel Estimation for Massive MIMO: A Deep Learning Assisted Approach

Parna Sabeti, Arman Farhang, Irene Macaluso +2

Large scale multiple-input multiple-output (MIMO) or Massive MIMO is one of the pivotal technologies for future wireless networks. However, the performance of massive MIMO systems…

cs.AR2019★ 5 cited

QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware

Michaela Blott, Lisa Halder, Miriam Leeser +1

Neural Networks have become one of the most successful universal machine learning algorithms. They play a key role in enabling machine vision and speech recognition for example. Th…

cs.IT2018

Spectrum Matching in Licensed Spectrum Sharing

M. Majid Butt, Irene Macaluso, Eduard A. Jorswieck +3

Spectrum sharing is one of the promising solutions to meet the spectrum demand in 5G networks that results from the emerging services like machine to machine and vehicle to infrast…

cs.NI2017★ 4 cited

Complex Systems Science meets 5G and IoT

Nicola Marchetti, Irene Macaluso, Nicholas Kaminski +8

We propose a new paradigm for telecommunications, and develop a framework drawing on concepts from information (i.e., different metrics of complexity) and computational (i.e., agen…

cs.IT2017

Low Complexity Modem Structure for OFDM-based Orthogonal Time Frequency Space Modulation

Arman Farhang, Ahmad RezazadehReyhani, Linda E. Doyle +1

Orthogonal time frequency space (OTFS) modulation is a two-dimensional signaling technique that has recently emerged in the literature to tackle the time-varying (TV) wireless chan…