5 citations · 12 across the 9 of their papers we have counts for
9 papers
Spectral Efficiency Maximization for Active RIS-aided Cell-Free Massive MIMO Systems with Imperfect CSI
Mahdi Eskandari, Huiling Zhu, Jiangzhou Wang
A cell-free network merged with active reconfigurable reflecting surfaces (RIS) is investigated in this paper. Based on the imperfect channel state information (CSI), the aggregate…
Multi-fidelity Bayesian Optimisation of Syngas Fermentation Simulators
Mahdi Eskandari, Lars Puiman, Jakob Zeitler
A Bayesian optimization approach for maximizing the gas conversion rate in an industrial-scale bioreactor for syngas fermentation is presented. We have access to a high-fidelity, c…
Two-Timescale Design for RIS-aided Cell-free Massive MIMO Systems with Imperfect CSI
Mahdi Eskandari, Kangda Zhi, Huiling Zhu +2
The objective of this paper is to evaluate the effectiveness of a two-timescale transmission design in cell-free massive multi-input multiple-output (MIMO) systems incorporating re…
Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems using Deep Reinforcement Learning
Mahdi Eskandari, Huiling Zhu, Arman Shojaeifard +1
The paper presents a joint beamforming algorithm using statistical channel state information (S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless commu…
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…
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…
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…
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…
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…