2 citations · 3 across the 5 of their papers we have counts for
7 papers
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…
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…