What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
Khaled Ben Letaief mostly deals with Electronic engineering, Computer network, Communication channel, Orthogonal frequency-division multiplexing and Wireless.
His Electronic engineering research integrates issues from Fading, Telecommunications, Antenna, Interference and Transmitter.
The concepts of his Computer network study are interwoven with issues in Wireless network, Throughput and Resource management.
His studies examine the connections between Communication channel and genetics, as well as such issues in Estimation theory, with regards to Estimator.
His Orthogonal frequency-division multiplexing research includes elements of Trellis modulation, Modulation and Multiplexing.
His biological study spans a wide range of topics, including Broadband networks, Optimization problem, Detector and Wireless sensor network.
His most cited work include:
- A Survey on Mobile Edge Computing: The Communication Perspective (1569 citations)
- Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices (628 citations)
- A robust timing and frequency synchronization for OFDM systems (627 citations)
What are the main themes of his work throughout his whole career to date?
Khaled Ben Letaief mainly focuses on Communication channel, Computer network, Electronic engineering, Wireless and Fading.
His work in Communication channel covers topics such as Algorithm which are related to areas like Bit error rate.
His Computer network study also includes fields such as
- Throughput and related Scheduling,
- Wireless network together with Distributed computing.
Khaled Ben Letaief has included themes like Multipath propagation, Single antenna interference cancellation, Interference and Orthogonal frequency-division multiplexing in his Electronic engineering study.
Khaled Ben Letaief combines subjects such as Beamforming, Real-time computing, Optimization problem, Mathematical optimization and Spectral efficiency with his study of Wireless.
His work deals with themes such as Transmission, Channel capacity and Topology, which intersect with Fading.
He most often published in these fields:
- Communication channel (30.60%)
- Computer network (29.60%)
- Electronic engineering (27.58%)
What were the highlights of his more recent work (between 2016-2021)?
- Wireless (23.80%)
- Wireless network (13.73%)
- Distributed computing (11.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Wireless, Wireless network, Distributed computing, Optimization problem and Beamforming.
The study incorporates disciplines such as Resource management, Transmitter power output, Wireless sensor network, Communication channel and Real-time computing in addition to Wireless.
His Communication channel research is multidisciplinary, relying on both Algorithm, Base station and Communications system.
His Wireless network research incorporates themes from Transfer of learning, Task, Spectral efficiency and Topology.
His biological study spans a wide range of topics, including Electronic engineering and Precoding.
His study in Distributed computing is interdisciplinary in nature, drawing from both Overhead, Cache, Key, Server and Mobile device.
Between 2016 and 2021, his most popular works were:
- A Survey on Mobile Edge Computing: The Communication Perspective (1569 citations)
- The Roadmap to 6G: AI Empowered Wireless Networks (296 citations)
- Stochastic Joint Radio and Computational Resource Management for Multi-User Mobile-Edge Computing Systems (279 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Telecommunications
His scientific interests lie mostly in Wireless, Wireless network, Beamforming, Distributed computing and Base station.
His Wireless research includes elements of Resource management, Wireless sensor network, Computer network, Real-time computing and Optimization problem.
The Distributed computing study combines topics in areas such as Server and Mobile device.
The concepts of his Base station study are interwoven with issues in Smoothing, Rate of convergence, Coherence and Communication channel.
His work on Precoding as part of general Communication channel study is frequently linked to Phase transition, bridging the gap between disciplines.
His Spectral efficiency research integrates issues from Electronic engineering and Transceiver.
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