activity
20082024
most citedGreen Cellular - Optimizing the Cellular Network for Minimal Emission from Mobile Stations

12 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IT2024

MIMO Detection via Gaussian Mixture Expectation Propagation: A Bayesian Machine Learning Approach for High-Order High-Dimensional MIMO Systems

Shachar Shayovitz, Doron Ezri, Yoav Levinbook

MIMO systems can simultaneously transmit multiple data streams within the same frequency band, thus exploiting the spatial dimension to enhance performance. MIMO detection poses co…

cs.IT2009★ 4 cited

SNR Estimation in Maximum Likelihood Decoded Spatial Multiplexing

Oded Redlich, Doron Ezri, Dov Wulich

Link adaptation is a crucial part of many modern communications systems, allowing the system to adapt the transmission and reception strategies to changes in channel conditions. On…

cs.IT2009

Grassmannian Beamforming for MIMO-OFDM Systems with Frequency and Spatially Correlated Channels Using Huffman Coding

Igor Gutman, Doron Ezri, Dov Wulich

Multiple input multiple output (MIMO) precoding is an efficient scheme that may significantly enhance the communication link. However, this enhancement comes with a cost. Many prec…

cs.IT2009★ 12 cited

Green Cellular - Optimizing the Cellular Network for Minimal Emission from Mobile Stations

Doron Ezri, Shimi Shilo

Wireless systems, which include cellular phones, have become an essential part of the modern life. However the mounting evidence that cellular radiation might adversely affect the…

cs.IT2008

Low Complexity Sphere Decoding for Spatial Multiplexing MIMO

Vadim Neder, Doron Ezri, Motti Haridim

In this paper we present a novel method for decoding multiple input - multiple output (MIMO) transmission, which combines sphere decoding (SD) and zero forcing (ZF) techniques to p…

math.OC2008

The exit problem in optimal non-causal extimation

Doron Ezri, Ben-Tzion Bobrovsky, Zeev Schuss

We study the phenomenon of loss of lock in the optimal non-causal phase estimation problem, a benchmark problem in nonlinear estimation. Our method is based on the computation of t…