What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Operating system
Chih-Lin I mostly deals with Computer network, Base station, Code division multiple access, Wireless network and Wireless.
His Computer network research is multidisciplinary, incorporating perspectives in Cloud computing and Spectral efficiency.
His studies in Spectral efficiency integrate themes in fields like Efficient energy use and Noma.
His work in the fields of Base station, such as Mobile station, overlaps with other areas such as Cellular digital packet data.
His Code division multiple access research incorporates elements of Real-time computing, Multipath propagation and Interference.
His Wireless research integrates issues from Resource allocation, Wideband, Channel capacity and Digital radio.
His most cited work include:
- Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends (1670 citations)
- Application of Non-Orthogonal Multiple Access in LTE and 5G Networks (1044 citations)
- Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G (727 citations)
What are the main themes of his work throughout his whole career to date?
Chih-Lin I spends much of his time researching Computer network, Communication channel, Wireless, Base station and Telecommunications.
His work deals with themes such as Wireless network and Cloud computing, which intersect with Computer network.
A large part of his Communication channel studies is devoted to MIMO.
His Wireless study also includes fields such as
- Network architecture which intersects with area such as Big data,
- Distributed computing which is related to area like Resource allocation.
The concepts of his Base station study are interwoven with issues in Real-time computing, Efficient energy use and Interference.
As part of one scientific family, Chih-Lin I deals mainly with the area of Telecommunications, narrowing it down to issues related to the Electronic engineering, and often Antenna.
He most often published in these fields:
- Computer network (45.64%)
- Communication channel (24.83%)
- Wireless (24.16%)
What were the highlights of his more recent work (between 2017-2021)?
- Wireless (24.16%)
- Telecommunications (19.46%)
- Computer network (45.64%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Wireless, Telecommunications, Computer network, Resource allocation and Distributed computing.
Chih-Lin I combines subjects such as Network architecture, Communication channel, Spectral efficiency, Electronic engineering and Efficient energy use with his study of Wireless.
His research in Spectral efficiency intersects with topics in Beamforming, Telecommunications link and Precoding.
His work is dedicated to discovering how Efficient energy use, Handover are connected with Wireless network and other disciplines.
His Computer network study integrates concerns from other disciplines, such as Energy consumption and Enhanced Data Rates for GSM Evolution, Edge computing.
His study looks at the intersection of Resource allocation and topics like Cloud computing with Orchestration, Scalability, Radio access network and Core network.
Between 2017 and 2021, his most popular works were:
- Compressive Sensing Techniques for Next-Generation Wireless Communications (106 citations)
- Deep Reinforcement Learning for Resource Management in Network Slicing (84 citations)
- Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts (46 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Operating system
Chih-Lin I focuses on Wireless, Resource management, Resource allocation, Big data and Quality of experience.
His Wireless study combines topics from a wide range of disciplines, such as Spectral efficiency, Power consumption, Efficient energy use and Process engineering.
His Resource allocation research is multidisciplinary, incorporating elements of Energy consumption and Server.
In his study, Edge computing and Cloud computing is inextricably linked to Heterogeneous network, which falls within the broad field of Big data.
His Systems architecture research spans across into subjects like Computer network and Cellular network.
His work carried out in the field of Computer network brings together such families of science as Wireless network and Enhanced Data Rates for GSM Evolution.
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