Stephen V. Hanly

Electrical and Electronic Engineering · 2010–2019

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen V. Hanly trusts overall

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

  1. Shlomo Shamai
  2. David Gesbert
  3. Giuseppe Caire
  4. Rui Zhang
  5. T. Marzetta
  6. Robert W. Heath
  7. Nihar Jindal
  8. Ami Wiesel

Who trusts Stephen V. Hanly overall

  1. Emil Björnson
  2. Qingqing Wu
  3. Yong Zeng

Papers from Stephen V. Hanly's perspective

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

  1. On the capacity of multi-antenna Gaussian channels (Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252))
  2. On the achievable throughput of a multiantenna Gaussian broadcast channel (IEEE Transactions on Information Theory)
  3. How much training is needed in multiple-antenna wireless links? (IEEE Transactions on Information Theory)
  4. Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas (IEEE Transactions on Wireless Communications)
  5. Enhancing the cellular downlink capacity via co-processing at the transmitting end (IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202))
  6. The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel (IEEE Transactions on Information Theory)
  7. Spectral efficiency in the wideband regime (IEEE Transactions on Information Theory)
  8. Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints (IEEE Transactions on Signal Processing)
  9. On the duality of Gaussian multiple-access and broadcast channels (IEEE Transactions on Information Theory)
  10. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (IEEE Journal on Selected Topics in Signal Processing)

Their papers