What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
Lingjia Liu mainly focuses on Computer network, Telecommunications link, Base station, Wireless network and Electronic engineering.
Computer network is closely attributed to Wireless in his research.
His Telecommunications link study incorporates themes from MIMO, Throughput and Cellular network.
His work carried out in the field of MIMO brings together such families of science as Real-time computing and Direction of arrival.
His Base station research is multidisciplinary, relying on both Transmitter and Antenna.
The various areas that Lingjia Liu examines in his Electronic engineering study include Scheduling and Spectral efficiency.
His most cited work include:
- Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO (181 citations)
- Automated Residential Demand Response: Algorithmic Implications of Pricing Models (114 citations)
- Resource Allocation and Quality of Service Evaluation for Wireless Communication Systems Using Fluid Models (113 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Wireless, MIMO, Base station and Telecommunications link.
His research in Computer network intersects with topics in Wireless network and Throughput.
His work deals with themes such as Markov process, Energy consumption, Transmission, Communication channel and Communications system, which intersect with Wireless.
His MIMO research is multidisciplinary, incorporating perspectives in Algorithm, Electronic engineering, Channel state information and Orthogonal frequency-division multiplexing.
His Base station research focuses on Channel and how it relates to Subframe.
His study on Telecommunications link also encompasses disciplines like
- Efficient energy use most often made with reference to Real-time computing,
- Transmitter that connect with fields like Antenna.
He most often published in these fields:
- Computer network (36.10%)
- Wireless (25.73%)
- MIMO (22.82%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial neural network (7.47%)
- Reservoir computing (12.45%)
- Recurrent neural network (7.47%)
In recent papers he was focusing on the following fields of study:
Lingjia Liu mainly investigates Artificial neural network, Reservoir computing, Recurrent neural network, Wireless and Artificial intelligence.
Lingjia Liu interconnects Electronic engineering, Reduction and Computer engineering in the investigation of issues within Artificial neural network.
His Reservoir computing research includes themes of Training set, Perceptron, Algorithm, Channel state information and MIMO-OFDM.
He combines subjects such as Cellular network, Computer network, Base station, Beamforming and Reinforcement learning with his study of Wireless.
His Routing protocol study, which is part of a larger body of work in Computer network, is frequently linked to Scheme, bridging the gap between disciplines.
His Base station research also works with subjects such as
- Wireless network most often made with reference to Computer security,
- Telecommunications link together with Communication channel, Channel allocation schemes and Bandwidth.
Between 2019 and 2021, his most popular works were:
- Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G (37 citations)
- Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access (21 citations)
- Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization (15 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Statistics
Lingjia Liu spends much of his time researching Wireless, Artificial neural network, Artificial intelligence, Algorithm and Wireless network.
His study looks at the relationship between Wireless and fields such as Reinforcement learning, as well as how they intersect with chemical problems.
His Artificial neural network research includes themes of Network architecture, Electronic engineering and Reduction.
The Wireless network study combines topics in areas such as Interference, Swarm behaviour, Real-time computing and Base station.
His research investigates the connection between Real-time computing and topics such as Transmission that intersect with issues in Cellular network.
He has researched Symbol in several fields, including Minimum mean square error, Telecommunications link and Orthogonal frequency-division multiplexing.
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