1.5k citations · 4.2k across the 131 of their papers we have counts for
6 papers · 2 filters
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…
Channel Extrapolation in FDD Massive MIMO: Theoretical Analysis and Numerical Validation
François Rottenberg, Rui Wang, Jianzhong Zhang +1
Downlink channel estimation in massive MIMO systems is well known to generate a large overhead in frequency division duplex (FDD) mode as the amount of training generally scales wi…
Throughput-Outage Analysis and Evaluation of Cache-Aided D2D Networks with Measured Popularity Distributions
Ming-Chun Lee, Mingyue Ji, Andreas F. Molisch +1
Caching of video files on user devices, combined with file exchange through device-to-device (D2D) communications is a promising method for increasing the throughput of wireless ne…
Enable Super-resolution Parameter Estimation for Mm-wave Channel Sounding
Rui Wang, C. Umit Bas, Zihang Cheng +14
This paper investigates the capability of millimeter-wave (mmWave) channel sounders with phased arrays to perform super-resolution parameter estimation, i.e., determine the paramet…
Periodic Analog Channel Estimation Aided Beamforming for Massive MIMO Systems
Vishnu V. Ratnam, Andreas F. Molisch
Analog beamforming is an attractive and cost-effective solution to exploit the benefits of massive multiple-input-multiple-output systems, by requiring only one up/down-conversion…
Continuous Analog Channel Estimation Aided Beamforming for Massive MIMO Systems
Vishnu V. Ratnam, Andreas F. Molisch
Analog beamforming greatly reduces the implementation cost of massive antenna transceivers by using only one up/down-conversion chain. However, it incurs a large pilot overhead whe…