45 citations · 49 across the 3 of their papers we have counts for
6 papers · 1 filter
Indoor positioning systems: Smart fusion of a variety of sensor readings
M. Arnold, F. Schaich
Robust and versatile localization techniques are key to the success of the next industrial revolution. Yet, it is uncertain which combination of sensors will be the most robust and…
Massive-MIMO Iterative Channel Estimation and Decoding (MICED) in the Uplink
Daniel Verenzuela, Emil Björnson, Xiaojie Wang +2
Massive MIMO uses a large number of antennas to increase the spectral efficiency (SE) through spatial multiplexing of users, which requires accurate channel state information. It i…
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer +3
A major obstacle for widespread deployment of frequency division duplex (FDD)-based Massive multiple-input multiple-output (MIMO) communications is the large signaling overhead for…
Subcarrier-Interlaced FDD for Faster-than-TDD Channel Tracking in Massive MIMO Systems
Maximilian Arnold, Xiaojie Wang, Stephan ten Brink
Canonical Massive MIMO uses time division duplex (TDD) to exploit channel reciprocity within the coherence time, avoiding feedback of channel state information (CSI), as is require…
Area Rate Evaluation based on Spatial Clustering of massive MIMO Channel Measurements
Maximilian Arnold, Johannes Pfeiffer, Stephan ten Brink
Channel models for massive MIMO are typically based on matrices with complex Gaussian entries, extended by the Kronecker and Weichselberger model. One reason for observing a gap be…
Evaluating Massive MIMO Precoding based on 3D-Channel Measurements with a Spider Antenna
Maximilian Arnold, Marc Gauger, Stephan ten Brink
Massive Multiple-Input Multiple-Output (MIMO)communications uses a large number of antennas at the base station to increase the data rate and user density in future wireless system…