activity
20122019
most citedDeep CNN-Based Channel Estimation for mmWave Massive MIMO Systems

452 citations · 581 across the 5 of their papers we have counts for

collaborators

6 papers

cs.IT2019★ 452 cited

Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems

Peihao Dong, Hua Zhang, Geoffrey Ye Li +2

For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is usually used to reduce the complexity and cost, which poses a…

cs.IT2015

Comparison between GFDM and VOFDM

Maximilian Matthé, Ivan Gaspar, Luciano Mendes +1

This document provides a comparison of the transmission techniques used in Generalized Frequency Division Multiplexing (GFDM) and Vector-OFDM (VOFDM). Within the document both syst…

cs.IT2015★ 12 cited

GFDM - A Framework for Virtual PHY Services in 5G Networks

Ivan Gaspar, Luciano Mendes, Maximilian Matthé +4

The next generation of wireless networks will face different challenges from new scenarios. The main contribution of this paper is to show that Generalized Frequency Division Multi…

cs.IT2015★ 11 cited

GFDM Transceiver using Precoded Data and Low-complexity Multiplication in Time Domain

Ivan Gaspar, Maximilian Matthé, Nicola Michailow +3

Future wireless communication systems are demanding a more flexible physical layer. GFDM is a block filtered multicarrier modulation scheme proposed to add multiple degrees of free…

cs.IT2015

Reduced Complexity Calculation of LMMSE Filter Coefficients for GFDM

Maximilian Matthé, Ivan Gaspar, Dan Zhang +1

A low-complexity algorithm for calculation of the LMMSE filter coefficients for GFDM in a block-fading multipath environment is derived in this letter. The simplification is based…

cs.IT2012★ 106 cited

5GNOW: Challenging the LTE Design Paradigms of Orthogonality and Synchronicity

Gerhard Wunder, Martin Kasparick, Stephan ten Brink +13

LTE and LTE-Advanced have been optimized to deliver high bandwidth pipes to wireless users. The transport mechanisms have been tailored to maximize single cell performance by enfor…