activity
20192022
most citedSmart Interference Management xApp using Deep Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP20221 cited

Smart Interference Management xApp using Deep Reinforcement Learning

Mahdi Eskandari, Shipra Kapoor, Keith Briggs +3

Interference continues to be a key limiting factor in cellular radio access network (RAN) deployments. Effective, data-driven, self-adapting radio resource management (RRM) solutio…

eess.SP2020

A Gridless Compressive Sensing Based Channel Estimation for Millimeter Wave Massive MIMO Systems from 1-Bit Measurements

Mahdi Eskandari, Hamidreza Bakhshi

This paper considers the problem of estimating the sparse millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) OFDM channel from 1-bit quantized measurements. Unl…

eess.SP2019

A Gridless Compressive Sensing Based Channel Estimation for Millimeter Wave MIMO OFDM Systems with One-Bit Quantization

Mahdi Eskandari, Hamidreza Bakhshi

This paper considers the problem of estimating the sparse mmWave massive multiple input - multiple output (MIMO) OFDM channel from one-bit quantized measurements. Unlike previous g…

eess.SP2019

A Frequency Domain Channel Estimation Based on Atomic Norm Minimization for Frequency Selective MmWave MIMO Systems

Mahdi Eskandari, Hamidreza Bakhshi

In this study, a channel estimator for millimeter wave (mmWave) systems is proposed. By considering the sparse nature of channels in millimeter wave band, the channel estimation pr…

eess.SP2019

Channel Estimation for MIMO Hybrid Architectures with Low Resolution ADCs for mmWave Communication

Mahdi Eskandari, Hamidreza Bakhshi

Hybrid analog/digital architectures and receivers with low-resolution analog-to-digital converters (ADCs) are two low power solutions for wireless systems with large antenna arrays…