42 citations · 54 across the 8 of their papers we have counts for
8 papers
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss
Nuwanthika Rajapaksha, Jafar Mohammadi, Stefan Wesemann +2
Transmit antenna muting (TAM) in multiple-user multiple-input multiple-output (MU-MIMO) networks allows reducing the power consumption of the base station (BS) by properly utilizin…
Energy Efficient Extreme MIMO: Design Goals and Directions
Stefan Wesemann, Jinfeng Du, Harish Viswanathan
Ever since the invention of Bell Laboratories Layer Space-Time (BLAST) in mid 1990s, the focus of MIMO research and development has been largely on pushing the limit of spectral ef…
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data
Muhammad Karam Shehzad, Luca Rose, Stefan Wesemann +2
Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition…
A Joint Wireless-Optical Front-haul Solution for Multi-user Massive MIMO 5G RAN
Son T. Le, Stefan Wesemann, Roman Dischler +1
We demonstrate a high capacity IF-over-fiber mobile fronthaul solution for multi-user massive MIMO 5G RAN. Using this scheme, a record aggregated radio bandwidth of 25.6 GHz was tr…
Turbo-AI: Iterative Machine Learning Based Channel Estimation for 2D Massive Arrays
Yejian Chen, Jafar Mohammadi, Stefan Wesemann +1
Recently, Machine Learning (ML) is recognized as an effective tool for wireless communications and plays an evolutionary role to enhance Physical Layer (PHY) of 5th Generation (5G)…
Quantized Precoding for Multi-Antenna Downlink Channels with MAGIQ
Andrei Nedelcu, Fabian Steiner, Markus Staudacher +5
A multi-antenna, greedy, iterative, and quantized (MAGIQ) precoding algorithm is proposed for downlink channels. MAGIQ allows a straightforward integration with orthogonal frequenc…
Channel Training for Analog FDD Repeaters: Optimal Estimators and Cramér-Rao Bounds
Stefan Wesemann, Thomas L. Marzetta
For frequency division duplex channels, a simple pilot loop-back procedure has been proposed that allows the estimation of the UL & DL channels at an antenna array without relying…
Distributed Asynchronous Optimization Framework for the MISO Interference Channel
Stefan Wesemann, Gerhard Fettweis
We study the distributed optimization of transmit strategies in a multiple-input, single-output (MISO) interference channel (IFC). Existing distributed algorithms rely on stricly s…