Ahmed Alkhateeb

According to our database1, Ahmed Alkhateeb authored at least 56 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Deep Learning for Massive MIMO With 1-Bit ADCs: When More Antennas Need Fewer Pilots.
IEEE Wirel. Commun. Lett., 2020

Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination.
IEEE Trans. Commun., 2020

Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction.
CoRR, 2020

Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware.
CoRR, 2020

Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks.
CoRR, 2020

Relay Aided Intelligent Reconfigurable Surfaces: Achieving the Potential Without So Many Antennas.
CoRR, 2020

ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions.
CoRR, 2020

Advanced Receiver Architectures for Millimeter-Wave Communications with Low-Resolution ADCs.
IEEE Commun. Mag., 2020

ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Millimeter Wave Base Stations with Cameras: Vision-Aided Beam and Blockage Prediction.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems.
CoRR, 2019

Deep Learning Predictive Band Switching in Wireless Networks.
CoRR, 2019

Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels.
CoRR, 2019

Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems.
CoRR, 2019

Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency.
CoRR, 2019

Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning.
CoRR, 2019

DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.
CoRR, 2019

Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond.
IEEE Access, 2019

Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Learning for Large Intelligent Surfaces in Millimeter Wave and Massive MIMO Systems.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Machine Learning for Reliable mmWave Systems: Blockage Prediction and Proactive Handoff.
CoRR, 2018

Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems.
IEEE Access, 2018

Beamforming in Millimeter Wave Systems: Prototyping and Measurement Results.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Machine Learning for Reliable MMWAVE Systems: Blockage Prediction and Proactive Handoff.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems.
IEEE Trans. Wirel. Commun., 2017

Hybrid Architectures With Few-Bit ADC Receivers: Achievable Rates and Energy-Rate Tradeoffs.
IEEE Trans. Wirel. Commun., 2017

Initial Beam Association in Millimeter Wave Cellular Systems: Analysis and Design Insights.
IEEE Trans. Wirel. Commun., 2017

Multi-Layer Precoding: A Potential Solution for Full-Dimensional Massive MIMO Systems.
IEEE Trans. Wirel. Commun., 2017

Modeling and Analyzing Millimeter Wave Cellular Systems.
IEEE Trans. Commun., 2017

Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems.
IEEE J. Sel. Areas Commun., 2017

Time-domain channel estimation for wideband millimeter wave systems with hybrid architecture.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Massive MIMO Combining with Switches.
IEEE Wirel. Commun. Lett., 2016

Millimeter Wave Energy Harvesting.
IEEE Trans. Wirel. Commun., 2016

Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems.
IEEE Trans. Commun., 2016

Gains of Restricted Secondary Licensing in Millimeter Wave Cellular Systems.
IEEE J. Sel. Areas Commun., 2016

Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?
IEEE Access, 2016

Achievable Rates of Hybrid Architectures with Few-Bit ADC Receivers.
Proceedings of the WSA 2016, 2016

Gram Schmidt based greedy hybrid precoding for frequency selective millimeter wave MIMO systems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Restricted Secondary Licensing for mmWave Cellular: How Much Gain Can Be Obtained?
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Dynamic subarray architecture for wideband hybrid precoding in millimeter wave massive MIMO systems.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems.
IEEE Trans. Wirel. Commun., 2015

Channel estimation and hybrid combining for mmWave: Phase shifters or switches?
Proceedings of the 2015 Information Theory and Applications Workshop, 2015

Achievable rates of multi-user millimeter wave systems with hybrid precoding.
Proceedings of the IEEE International Conference on Communication, 2015

Compressed sensing based multi-user millimeter wave systems: How many measurements are needed?
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Energy Coverage in Millimeter Wave Energy Harvesting Networks.
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015

Opportunistic beam training with hybrid analog/digital codebooks for mmWave systems.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

A tractable model for per user rate in multiuser millimeter wave cellular networks.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems.
IEEE J. Sel. Top. Signal Process., 2014

Coverage and capacity of millimeter-wave cellular networks.
IEEE Commun. Mag., 2014

Mimo precoding and combining solutions for millimeter-wave systems.
IEEE Commun. Mag., 2014

Single-sided adaptive estimation of multi-path millimeter wave channels.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

Initial beamforming for mmWave communications.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Multi-layer precoding for full-dimensional massive MIMO systems.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014


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