What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
His primary scientific interests are in Computer network, Relay, Mathematical optimization, Wireless and Resource allocation.
The various areas that Meixia Tao examines in his Computer network study include Beamforming and Communication channel.
His research in Relay tackles topics such as Precoding which are related to areas like Spectral efficiency and Transceiver.
The concepts of his Mathematical optimization study are interwoven with issues in Computational complexity theory and Transmission.
He has included themes like Transmitter and Distributed computing in his Wireless study.
His biological study spans a wide range of topics, including Frequency-division multiple access, Subcarrier, Telecommunications link and Macrocell.
His most cited work include:
- Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN (382 citations)
- Robust Beamforming for Wireless Information and Power Transmission (338 citations)
- Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services (321 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Communication channel, Wireless, Relay and MIMO.
His work in Computer network tackles topics such as Wireless network which are related to areas like Scheduling.
His Communication channel research is multidisciplinary, incorporating perspectives in Algorithm and Upper and lower bounds.
In his study, Resource allocation and Power control is strongly linked to Mathematical optimization, which falls under the umbrella field of Wireless.
The study incorporates disciplines such as Node, Transmission, Throughput and Linear network coding in addition to Relay.
His MIMO study integrates concerns from other disciplines, such as Antenna, Control theory and Topology.
He most often published in these fields:
- Computer network (40.06%)
- Communication channel (27.35%)
- Wireless (24.03%)
What were the highlights of his more recent work (between 2017-2021)?
- Cache (17.13%)
- Computer network (40.06%)
- Wireless (24.03%)
In recent papers he was focusing on the following fields of study:
Meixia Tao focuses on Cache, Computer network, Wireless, Distributed computing and Base station.
His work deals with themes such as Transmission, Single antenna interference cancellation and Artificial intelligence, Reinforcement learning, which intersect with Cache.
In his research, Channel state information is intimately related to Optimization problem, which falls under the overarching field of Computer network.
Wireless is frequently linked to Heuristic in his study.
His Distributed computing study combines topics from a wide range of disciplines, such as Transmitter power output, Computational complexity theory, Greedy algorithm, Wireless network and Transmission delay.
The Base station study combines topics in areas such as Cellular network, Beamforming and Heterogeneous network.
Between 2017 and 2021, his most popular works were:
- The Role of Caching in Future Communication Systems and Networks (115 citations)
- Optimization and Analysis of Probabilistic Caching in $N$ -Tier Heterogeneous Networks (76 citations)
- Communications, Caching, and Computing for Mobile Virtual Reality: Modeling and Tradeoff (42 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Statistics
Computer network, Cache, Server, Distributed computing and Wireless are his primary areas of study.
His work on Multicast as part of general Computer network research is frequently linked to Jamming, bridging the gap between disciplines.
His research investigates the connection between Cache and topics such as Reinforcement learning that intersect with problems in Computational complexity theory, Transmission delay and Enhanced Data Rates for GSM Evolution.
His studies in Distributed computing integrate themes in fields like Wireless network, Wireless sensor network and Base station, Small cell.
His Base station research also works with subjects such as
- Heterogeneous network which is related to area like MIMO,
- Cluster analysis, which have a strong connection to Optimization problem and Channel state information.
His CPU cache research focuses on Upper and lower bounds and how it relates to Radio access network and Mathematical optimization.
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