Research

Efficient Channel Estimation in Millimeter Wave Hybrid MIMO Systems with Low Resolution ADCs
This paper proposes an efficient channel estima- tion algorithm for millimeter wave (mmWave) systems with a hybrid analog-digital …
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Energy Efficient Transmitter with Low Resolution DACs for Massive MIMO with Partially Connected Hybrid Architecture
Millimeter wave (mmWave) multiple-input multiple- output (MIMO) systems have recently been proposed to meet the needs of the future …
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Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion
Millimeter wave (mmWave) massive multiple input multiple output (MIMO) systems realizing directive beamforming require reliable …
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Autonomous driving in 5G: Mitigating interference in OFDM-based vehicular communications
Automotive industry will be greatly benefited by the advent of 5G Networking and the huge boost in performance and coverage it will …
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Compressed Sensing for Efficient Encoding of Dense 3D Meshes Using Model-Based Bayesian Learning
With the growing demand for easy and reliable generation of 3D models representing real-world or synthetic objects, new schemes for …
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Efficient graph-based matrix completion on incomplete animated models
Recently, there has been increasing interest for easy and reliable generation of 3D animated models facilitating several real-time …
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Adaptive completion of the correlation matrix in wireless sensor networks
The correlation structure among the sensor observa- tions is a significant characteristic of the wireless sensor network (WSN) which can …
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Blind distributed beamforming via matrix completion
In this paper, we consider the problem of distributed beamforming for maximization of the receiver signal-to-noise­ ratio (SNR) subject …
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Low-complexity OSIC equalization for OFDM-based Vehicular Communications
Vehicular communication systems are usually equipped with orthogonal frequency division multiplexing (OFDM) transceivers that operate …
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Supervised energy disaggregation using dictionary-based modelling of appliance states
In this paper , a supervised energy disaggregation method is proposed. The appliances that are monitored, are modelled by multi-state …
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