What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Game theory
Walid Saad spends much of his time researching Wireless, Computer network, Base station, Game theory and Wireless network.
He integrates Wireless and Software deployment in his research.
Walid Saad studied Computer network and Optimization problem that intersect with Cluster analysis, Big data, Overhead and Network delay.
The various areas that Walid Saad examines in his Base station study include Quality of service, Cellular network, Telecommunications link and Transmitter power output.
Walid Saad interconnects Distributed computing, Stochastic game, Telecommunications network, Mathematical optimization and Key in the investigation of issues within Game theory.
His work in the fields of Wireless network, such as Key distribution in wireless sensor networks, overlaps with other areas such as Use case.
His most cited work include:
- Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs (784 citations)
- Coalitional game theory for communication networks (768 citations)
- A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (626 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Wireless, Computer network, Base station, Wireless network and Distributed computing.
His study in Wireless is interdisciplinary in nature, drawing from both Transmission delay, Optimization problem, Real-time computing and Communication channel.
His studies examine the connections between Computer network and genetics, as well as such issues in Distributed algorithm, with regards to Game theory.
The study incorporates disciplines such as Mathematical optimization, Cellular network and Telecommunications link in addition to Base station.
His Telecommunications link research includes themes of Transmitter power output, Network packet and Macrocell.
His work carried out in the field of Wireless network brings together such families of science as Physical layer and Artificial intelligence, Reinforcement learning.
He most often published in these fields:
- Wireless (38.54%)
- Computer network (35.03%)
- Base station (30.41%)
What were the highlights of his more recent work (between 2019-2021)?
- Wireless (38.54%)
- Wireless network (24.52%)
- Base station (30.41%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Wireless, Wireless network, Base station, Telecommunications link and Optimization problem.
His research integrates issues of Transmitter power output, Communication channel, Real-time computing, Transmission delay and Computer network in his study of Wireless.
His Wireless network research incorporates themes from Artificial neural network, Probabilistic logic, Mathematical optimization, Virtual reality and Reinforcement learning.
His work in Base station covers topics such as Mobile edge computing which are related to areas like Task.
His Optimization problem research is multidisciplinary, incorporating elements of Resource allocation and Power control.
The Resource allocation study combines topics in areas such as Cellular network and Latency.
Between 2019 and 2021, his most popular works were:
- A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems (544 citations)
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks (170 citations)
- Performance Analysis of Large Intelligent Surfaces (LISs): Asymptotic Data Rate and Channel Hardening Effects (100 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Statistics
Walid Saad focuses on Wireless, Wireless network, Optimization problem, Telecommunications link and Resource allocation.
His studies deal with areas such as Transmitter power output, Communication channel, Computer network, Base station and Virtual reality as well as Wireless.
His research in Base station intersects with topics in Transmission, Real-time computing and General equilibrium theory.
His Wireless network study integrates concerns from other disciplines, such as Probabilistic logic, Artificial intelligence, Latency and Network packet.
While the research belongs to areas of Telecommunications link, Walid Saad spends his time largely on the problem of Reinforcement learning, intersecting his research to questions surrounding Cellular network, Distributed computing, Orthogonal frequency-division multiple access, Channel state information and Algorithm.
His Resource allocation research is multidisciplinary, incorporating perspectives in Power control, Beamforming, Mobile edge computing, Mathematical optimization and Perfect competition.
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