activity
20152022
most citedOn the SNR Variability in Noisy Compressed Sensing

14 citations · 18 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SP2022★ 1 cited

Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning

Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1

Radio based positioning of a user equipment (UE) based on deep learning (DL) methods using channel state information (CSI) fingerprints have shown promising results. DL models are…

cs.IT2019

Channel Correlation Diversity in MU-MIMO Systems -- Analysis and Measurements

Harsh Tataria, Seun Sangodoyin, Andreas F. Molisch +4

In multiuser multiple-input multiple-output (MU-MIMO) systems, channel correlation is detrimental to system performance. We demonstrate that widely used, yet overly simplified, cor…

cs.IT2019

Lower Bound on the Sum-rate of Decremental Beam Selection Algorithm for Beamspace MIMO Systems

Naveed Iqbal, Waqas Ahmad, Christian Schneider +1

In general, the zero-forcing (ZF) precoding suffers from a severe receive signal-to-noise ratio (SNR) degradation in the high interference regime. However, recent evidences from re…

cs.IT2017

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

Vinod Kristem, Seun Sangodoyin, C. U. Bas +7

3-dimensional Multiple-Input Multiple-Output (3D MIMO) systems have received great interest recently because of the spatial diversity advantage and capability for full-dimensional…

cs.IT2016★ 14 cited

On the SNR Variability in Noisy Compressed Sensing

Anastasia Lavrenko, Florian Roemer, Giovanni Del Galdo +1

Compressed sensing (CS) is a sampling paradigm that allows to simultaneously measure and compress signals that are sparse or compressible in some domain. The choice of a sensing ma…

cs.IT2016

Design and Analysis of Compressive Antenna Arrays for Direction of Arrival Estimation

Mohamed Ibrahim, Venkatesh Ramireddy, Anastasia Lavrenko +6

In this paper we investigate the design of compressive antenna arrays for direction of arrival (DOA) estimation that aim to provide a larger aperture with a reduced hardware comple…

cs.IT2016★ 3 cited

A Hybrid Channel Model based on WINNER for Vehicle-to-X Application

Peter Große, Christian Schneider, Gerd Sommerkorn +1

V2V and V2I channel modeling became recently more of interest. To provide realistic radio channels either expensive measurements or complex ray tracing simulations are mostly used.…

cs.IT2015

Estimation of Radio Channel Parameters in Case of an Unknown Transmitter

Stephan Häfner, Reiner Thomä

This paper investigates the estimation of radio channel parameters from receiver data, whereby the transmitter is fully unknown. We use a multipath model to describe the radio chan…