Chenxi Hu

Electrical and Electronic Engineering · with Dai · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Chenxi Hu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zhen-Qing He
  2. Deepak Mishra
  3. Tobias Lindstrøm Jensen
  4. Ahmed Alkhateeb
  5. Sha Hu
  6. Zhaorui Wang
  7. Peilan Wang
  8. Tong Bai
  9. Xiaojun Yuan
  10. Håkan Johansson

Who trusts Chenxi Hu overall

  1. Zijian Zhang
  2. Linglong Dai
  3. M. Di Renzo
  4. Mingyao Cui

Papers from Chenxi Hu's perspective

Ordered by how strongly the researchers Chenxi Hu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO (IEEE Wireless Communications Letters)
  2. Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces (IEEE Transactions on Signal Processing)
  3. Wireless Communications Through Reconfigurable Intelligent Surfaces (IEEE Access)
  4. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (IEEE Journal on Selected Topics in Signal Processing)
  5. Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer (IEEE International Conference on Acoustics, Speech, and Signal Processing)
  6. Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning (IEEE Access)
  7. An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator (IEEE International Conference on Acoustics, Speech, and Signal Processing)
  8. Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements (IEEE Transactions on Antennas and Propagation)
  9. Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (IEEE Transactions on Wireless Communications)
  10. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication (IEEE Transactions on Wireless Communications)

Their papers