Hyoil Kim

Computer Networks and Communications · 2008

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hyoil Kim trusts overall

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

  1. Thomas Keller
  2. Lajos Hanzo
  3. A. Ghasemi
  4. Ghurumuruhan Ganesan
  5. Qing Zhao

Who trusts Hyoil Kim overall

  1. Ian F. Akyildiz
  2. Brandon F. Lo
  3. Claudia Cormio
  4. Ravikumar Balakrishnan
  5. Antonio De Domenico

Papers from Hyoil Kim's perspective

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

  1. Decentralized cognitive mac for dynamic spectrum access (First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.)
  2. Collaborative spectrum sensing for opportunistic access in fading environments (First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.)
  3. Cooperative spectrum sensing in cognitive radio networks (First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.)
  4. On collaborative detection of TV transmissions in support of dynamic spectrum sharing (First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.)
  5. IEEE 802.22: the first worldwide wireless standard based on cognitive radios (First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.)
  6. Adaptive multicarrier modulation: a convenient framework for time-frequency processing in wireless communications (Proceedings of the IEEE)
  7. Cognitive radio: brain-empowered wireless communications (IEEE Journal on Selected Areas in Communications)
  8. AND T
  9. A comparison of pilot-aided channel estimation methods for OFDM systems (IEEE Transactions on Signal Processing)
  10. Long-range prediction of fading signals (IEEE Signal Processing Magazine)

Their papers