Athanasios D. Panagopoulos
Artificial Intelligence · 2004–2023
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Athanasios D. Panagopoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Athanasios D. Panagopoulos overall
Papers from Athanasios D. Panagopoulos's perspective
Ordered by how strongly the researchers Athanasios D. Panagopoulos trusts endorse each paper. Same corpus, a different order for every researcher.
- On the capacity of multi-antenna Gaussian channels (Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252))
- Opportunistic beamforming using dumb antennas (Proceedings IEEE International Symposium on Information Theory,)
- Introduction to Space-Time Wireless Communications
- On the achievable throughput of a multiantenna Gaussian broadcast channel (IEEE Transactions on Information Theory)
- Capacity limits of MIMO channels (IEEE J. Sel. Areas Commun.)
- The capacity region of the Gaussian MIMO broadcast channel (International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.)
- Fading correlation and its effect on the capacity of multielement antenna systems (IEEE Transactions on Communications)
- On the capacity of MIMO broadcast channels with partial side information (IEEE Transactions on Information Theory)
- Performance of multiantenna signaling techniques in the presence of polarization diversity (IEEE Transactions on Signal Processing)
- The golden code: a 2 x 2 full-rate space-time code with non-vanishing determinants (International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.)
Their papers
- Satellite communications at KU, KA, and V bands: Propagation impairments and mitigation techniques (2004) — 509 citations
- MIMO over Satellite: A Review (2011) — 335 citations
- A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks (2023) — 362 citations