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Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss
In this paper, we consider the downlink transmission of an MU-MIMO network where TAM is formulated to minimize the number of active antennas in the BS while guaranteeing the per-user throughput requirements.
Energy Efficient Design of Extreme MIMO
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 efficiency.
A Joint Wireless-Optical Front-haul Solution for Multi-user Massive MIMO 5G RAN
We demonstrate a high capacity IF-over-fiber mobile fronthaul solution for multi-user massive MIMO 5G RAN.
Turbo-AI: Iterative Machine Learning Based Channel Estimation for 2D Massive Arrays
Furthermore, we propose an iterative training approach, referred to as Turbo-AI.
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