H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 59 Citations 14,318 206 World Ranking 631 National Ranking 68

Overview

What is he best known for?

The fields of study he is best known for:

  • Telecommunications
  • Computer network
  • Statistics

Linglong Dai spends much of his time researching MIMO, Electronic engineering, Communication channel, Wireless and Precoding. The concepts of his MIMO study are interwoven with issues in Radio frequency and Computer network, Telecommunications link, Base station. Linglong Dai has researched Electronic engineering in several fields, including Mimo systems, Efficient energy use, Spectral efficiency and Rician fading.

The study incorporates disciplines such as Single antenna interference cancellation and Orthogonal frequency-division multiplexing in addition to Spectral efficiency. The various areas that he examines in his Communication channel study include Extremely high frequency, Signal-to-noise ratio, Real-time computing and Interference. His studies in Wireless integrate themes in fields like Multiplexing, Bandwidth and Cellular network.

His most cited work include:

  • Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends (1670 citations)
  • Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays (486 citations)
  • Millimeter Wave Communications for Future Mobile Networks (441 citations)

What are the main themes of his work throughout his whole career to date?

Linglong Dai mostly deals with Communication channel, MIMO, Electronic engineering, Precoding and Wireless. The concepts of his Communication channel study are interwoven with issues in Algorithm, Overhead and Real-time computing. His work deals with themes such as Efficient energy use, Telecommunications link, Base station and Compressed sensing, which intersect with MIMO.

His Electronic engineering research integrates issues from Transmission, Spectral efficiency and Radio frequency. His study in the field of Zero-forcing precoding is also linked to topics like Scheme. His Wireless research includes themes of Energy, Computer network, Computer hardware and Key.

He most often published in these fields:

  • Communication channel (50.54%)
  • MIMO (48.39%)
  • Electronic engineering (42.65%)

What were the highlights of his more recent work (between 2018-2021)?

  • Communication channel (50.54%)
  • Wireless (24.01%)
  • MIMO (48.39%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Communication channel, Wireless, MIMO, Precoding and Electronic engineering. His Communication channel research includes elements of Algorithm, Overhead, Telecommunications link and Computer engineering. Linglong Dai has included themes like Transmission, Electrical engineering, Beamforming and Computer network, Base station in his Wireless study.

His MIMO research incorporates elements of Relay, Energy, Spectral efficiency, Noma and Antenna. His research in Precoding intersects with topics in Phase, Efficient energy use, Bandwidth and Wideband. His study looks at the relationship between Electronic engineering and topics such as Radio frequency, which overlap with Baseband and Software-defined radio.

Between 2018 and 2021, his most popular works were:

  • Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems (120 citations)
  • Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer (94 citations)
  • Reconfigurable Intelligent Surface-Based Wireless Communications: Antenna Design, Prototyping, and Experimental Results (86 citations)

In his most recent research, the most cited papers focused on:

  • Telecommunications
  • Computer network
  • Statistics

The scientist’s investigation covers issues in Communication channel, MIMO, Wireless, Electronic engineering and Precoding. His Communication channel research is multidisciplinary, incorporating elements of Overhead, Bandwidth, Extremely high frequency, Algorithm and Telecommunications link. His study brings together the fields of Antenna array and MIMO.

He studied Wireless and Spectral efficiency that intersect with Beamforming. His work carried out in the field of Electronic engineering brings together such families of science as Power optimization, Transmitter power output, Relay, Efficient energy use and Laser power scaling. His Precoding study integrates concerns from other disciplines, such as Distributed computing, Interference, Base station and Wideband.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

Linglong Dai;Bichai Wang;Yifei Yuan;Shuangfeng Han.
IEEE Communications Magazine (2015)

2099 Citations

Millimeter Wave Communications for Future Mobile Networks

Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai.
IEEE Journal on Selected Areas in Communications (2017)

593 Citations

Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays

Xinyu Gao;Linglong Dai;Shuangfeng Han;Chih-Lin I.
IEEE Journal on Selected Areas in Communications (2016)

544 Citations

MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network

Zhen Gao;Linglong Dai;De Mi;Zhaocheng Wang.
IEEE Wireless Communications (2015)

365 Citations

A Survey of Non-Orthogonal Multiple Access for 5G

Linglong Dai;Bichai Wang;Zhiguo Ding;Zhaocheng Wang.
IEEE Communications Surveys and Tutorials (2018)

313 Citations

Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

Zhen Gao;Linglong Dai;Zhaocheng Wang;Sheng Chen.
IEEE Transactions on Signal Processing (2015)

308 Citations

Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey

Sherif Adeshina Busari;Kazi Mohammed Saidul Huq;Shahid Mumtaz;Linglong Dai.
IEEE Communications Surveys and Tutorials (2018)

233 Citations

Spectrally Efficient Time-Frequency Training OFDM for Mobile Large-Scale MIMO Systems

Linglong Dai;Zhaocheng Wang;Zhixing Yang.
IEEE Journal on Selected Areas in Communications (2013)

232 Citations

Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array

Bichai Wang;Linglong Dai;Zhaocheng Wang;Ning Ge.
IEEE Journal on Selected Areas in Communications (2017)

211 Citations

On the Spectral Efficiency of Massive MIMO Systems With Low-Resolution ADCs

Jiayi Zhang;Linglong Dai;Shengyang Sun;Zhaocheng Wang.
IEEE Communications Letters (2016)

206 Citations

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