1.1k citations · 3k across the 72 of their papers we have counts for
7 papers · 2 filters
Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training with Memory
Junil Choi, David J. Love, Patrick Bidigare
The concept of deploying a large number of antennas at the base station, often called massive multiple-input multiple-output (MIMO), has drawn considerable interest because of its…
Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems
Song Noh, Michael D. Zoltowski, Youngchul Sung +1
In this paper, the problem of pilot beam pattern design for channel estimation in massive multiple-input multiple-output systems with a large number of transmit antennas at the bas…
Closed-Loop Beam Alignment for Massive MIMO Channel Estimation
Andrew J. Duly, Taejoon Kim, David J. Love +1
Training sequences are designed to probe wireless channels in order to obtain channel state information for block-fading channels. Optimal training sounds the channel using orthogo…
Concatenated Coding Using Linear Schemes for Gaussian Broadcast Channels with Noisy Channel Output Feedback
Ziad Ahmad, Zachary Chance, David J. Love
Linear coding schemes have been the main choice of coding for the additive white Gaussian noise broadcast channel (AWGN-BC) with noiseless feedback in the literature. The achievabl…
Millimeter Wave Beamforming for Wireless Backhaul and Access in Small Cell Networks
Sooyoung Hur, Taejoon Kim, David J. Love +3
Recently, there has been considerable interest in new tiered network cellular architectures, which would likely use many more cell sites than found today. Two major challenges will…
Noncoherent Trellis Coded Quantization: A Practical Limited Feedback Technique for Massive MIMO Systems
Junil Choi, Zachary Chance, David J. Love +1
Accurate channel state information (CSI) is essential for attaining beamforming gains in single-user (SU) multiple-input multiple-output (MIMO) and multiplexing gains in multi-user…