Dr. Evangelos Vlachos
Tenure-track Researcher · ATHENA RC
Dr. Evangelos Vlachos
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Research
New Paper: Green joint radar-communications: RF selection with low resolution DACs and hybrid precoding
This paper introduces a novel RF chain and DAC bit selection approach for sub-arrayed hybrid MIMO joint radar-communications systems, optimizing energy efficiency while preserving information rate.
May 16, 2022
1 min read
Paper
New Paper: Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments
This research contributes to 6G by developing a spectrally efficient joint radar-communication system that selects optimal radio frequencies, mitigates interference and hardware impairments, and achieves higher degrees of freedom.
Apr 25, 2022
1 min read
Paper
ADMM-based Cooperative Control for Platooning of Connected and Autonomous Vehicles
Distributed model-predictive controllers provide a robust way to adjust the acceleration of each platoon vehicle and avoid collisions. …
PDF
DOI
Green Joint Radar-Communications: RF Selection with Low Resolution DACs and Hybrid Precoding
This paper considers a multiple-input multiple- output (MIMO) joint radar-communication (JRC) transmission with hybrid precoding and …
PDF
DOI
Optimal MmWave Sensor Selection for Bearing-Only Localization in Smart Environments
Nowdays, millimeter wave (mmW ave) direction sensors are being used increasingly as general-purpose radars, since they can provide …
PDF
DOI
Quantum Computing-Assisted Channel Estimation for Massive MIMO mmWave Systems
Quantum computing (QC)-assisted algorithms promise exponential increase in the computational efficiency, enabling instant solution of …
PDF
DOI
Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments
The joint radar‐comm unication (JRC) system is env isioned as an emerging sixth gener- ation (6G) technolog y to tack le spectral …
PDF
DOI
New Paper: Joint bit allocation and hybrid beamforming optimization for energy efficient millimeter wave MIMO systems
The paper jointly optimizes digital-to-analog converter bit resolutions and hybrid beamforming matrices to achieve energy-efficient millimeter wave MIMO systems, introducing a novel decomposition of the hybrid precoder and combiner.
Mar 1, 2021
1 min read
Paper
New Paper: Energy-efficiency maximization of hybrid massive MIMO precoding with random-resolution DACs via RF selection
This research introduces a novel hybrid massive MIMO precoding architecture using random-resolution DACs and RF selection to maximize energy-efficiency while preserving spectral-efficiency.
Feb 1, 2021
1 min read
Paper
Energy-Efficiency Maximization of Hybrid Massive MIMO Precoding With Random-Resolution DACs via RF Selection
Energy-efficiency (EE) is identified as a key 5G metric and will have a major impact on the hybrid beam- forming system design. The most …
PDF
DOI
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