Pantelis-Daniel M. Arapoglou

Electrical and Electronic Engineering · 2004–2011

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

Subfields

Whom Pantelis-Daniel M. Arapoglou trusts overall

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

  1. Arogyaswami Paulraj
  2. Pramod Viswanath
  3. Masoud Sharif
  4. Mathini Sellathurai
  5. David Gesbert
  6. Athanasios D. Panagopoulos
  7. Jan Mietzner
  8. David Tse
  9. Babak Hassibi
  10. Simon S. Haykin

Who trusts Pantelis-Daniel M. Arapoglou overall

  1. Gan Zheng
  2. Symeon Chatzinotas
  3. Aziz Altaf Khuwaja

Papers from Pantelis-Daniel M. Arapoglou's perspective

Ordered by how strongly the researchers Pantelis-Daniel M. Arapoglou 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. Opportunistic beamforming using dumb antennas (Proceedings IEEE International Symposium on Information Theory,)
  3. On the achievable throughput of a multiantenna Gaussian broadcast channel (IEEE Transactions on Information Theory)
  4. Introduction to Space-Time Wireless Communications
  5. Capacity limits of MIMO channels (IEEE J. Sel. Areas Commun.)
  6. The capacity region of the Gaussian MIMO broadcast channel (International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.)
  7. Fading correlation and its effect on the capacity of multielement antenna systems (IEEE Transactions on Communications)
  8. On the capacity of MIMO broadcast channels with partial side information (IEEE Transactions on Information Theory)
  9. Space-Time transmit precoding with imperfect feedback (IEEE Transactions on Information Theory)
  10. Performance of multiantenna signaling techniques in the presence of polarization diversity (IEEE Transactions on Signal Processing)

Their papers