7 citations · 10 across the 8 of their papers we have counts for
10 papers
Reconfigurable Intelligent Surface: Design the Channel -- a New Opportunity for Future Wireless Networks
Miguel Dajer, Zhengxiang Ma, Leonard Piazzi +5
In this paper, we survey state-of-the-art research outcomes in the burgeoning field of reconfigurable intelligent surface (RIS) in view of its potential for significant performance…
Base Station Antenna Selection for Low-Resolution ADC Systems
Jinseok Choi, Junmo Sung, Narayan Prasad +3
This paper investigates antenna selection at a base station with large antenna arrays and low-resolution analog-to-digital converters. For downlink transmit antenna selection for n…
A Low Complexity Near-Maximum Likelihood MIMO Receiver with Low Resolution Analog-to-Digital Converters
Arkady Molev-Shteiman, Xiao-Feng Qi, Laurence Mailaender
Based on a new equivalent model of quantizer with noisy input recently presented in [23], we propose a new low complexity receiver that takes into account the nonlinear distortion…
Low Resolution Digital-to-Analog Converter with Digital Dithering for MIMO Transmitter
Arkady Molev-Shteiman, Xiao-Feng Qi, Laurence Mailaender
Based on an equivalent model for quantizers with noisy inputs recently presented in [35], we propose a method of digital dithering at the transmitter that may significantly reduce…
New equivalent model of quantizer with noisy input and its application for ADC resolution determination in an uplink MIMO receiver
Arkady Molev-Shteiman, Xiao-Feng Qi, Laurence Mailaender +2
When a quantizer input signal is the sum of the desired signal and input white noise, the quantization error is a function of total input signal. Our new equivalent model splits th…
Maximal Entropy Reduction Algorithm for SAR ADC Clock Compression
Arkady Molev-Shteiman, Xiao-Feng Qi
Reduction of comparison cycles leads to power savings of a successive-approximation-register (SAR) analog-to-digital converters (ADC). We establish that the lowest average number o…
The Effect of Diversity Combining on ISI in Massive MIMO
Arkady Molev Shteiman, Stefano Galli, Laurence Mailaender +1
We analyze the resiliency of Massive Multiple-Input Multiple-Output (M-MIMO) systems to Inter-Symbol Interference (ISI) when diversity combining techniques are used at the Base Sta…
Optimizing Beams and Bits: A Novel Approach for Massive MIMO Base-Station Design
Narayan Prasad, Xiao-Feng Qi, Alan Gatherer
We consider the problem of jointly optimizing ADC bit resolution and analog beamforming over a frequency-selective massive MIMO uplink. We build upon a popular model to incorporate…
Distributed Massive MIMO Channel Estimation and Channel Database Assistance
Arkady Molev-Shteiman, Laurence Mailaender, Xiao-Feng Qi
Due to the low per-antenna SNR and high signaling overhead, channel estimation is a major bottleneck in Massive MIMO systems. Spatial constraints can improve estimation performance…
Direct Positioning with Channel Database Assistance
Laurence Mailaender, Arkady Molev-Shteiman, Xiao-Feng Qi
When we have knowledge of the positions of nearby walls and buildings, estimating the source location becomes a very efficient way of characterizing and estimating a radio channel.…