Shengli Zhou

Computer Networks and Communications · IEEE Transactions on Wireless Communications · 2002–2010

A researcher in the Science corpus: 9 papers; trusts 20 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Shengli Zhou trusts overall

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

  1. Babak Hassibi
  2. Bertrand M. Hochwald
  3. Da-shan Shiu
  4. Upamanyu Madhow
  5. Gerard J. Foschini
  6. Isabel Dietrich
  7. D. J. Love
  8. Qingwen Liu
  9. Richard Baraniuk
  10. Gitta Kutyniok

Who trusts Shengli Zhou overall

  1. Mai H. Vu
  2. Antonio Pascual-Iserte
  3. Arogyaswami Paulraj
  4. Dusist Niyato
  5. Qingwen Liu
  6. D. P. Palomar
  7. Henry Cohn
  8. D. J. Love
  9. Robert W. Heath
  10. Yindi Jing

Papers from Shengli Zhou's perspective

Ordered by how strongly the researchers Shengli Zhou 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. Cooperative diversity in wireless networks: Efficient protocols and outage behavior (IEEE Transactions on Information Theory)
  3. Systematic design of unitary space-time constellations (IEEE Transactions on Information Theory)
  4. Distributed space-time coded protocols for exploiting cooperative diversity in wireless networks (Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE)
  5. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  6. How much training is needed in multiple-antenna wireless links? (IEEE Transactions on Information Theory)
  7. On beamforming with finite rate feedback in multiple-antenna systems (IEEE Transactions on Information Theory)
  8. GRASSMANNIAN FRAMES WITH APPLICATIONS TO CODING AND COMMUNICATION
  9. Fading correlation and its effect on the capacity of multielement antenna systems (IEEE Transactions on Communications)
  10. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

Their papers