| Adaptive modulation systems for predicted wireless channels S Falahati, A Svensson, T Ekman, M Sternad IEEE Transactions on Communications 52 (2), 307-316, 2004 | 286 | 2004 |
| Prediction of mobile radio channels: Modeling and design T Ekman Institutionen för materialvetenskap, 2002 | 171 | 2002 |
| Keynote address:. ql for source code analysis O De Moor, M Verbaere, E Hajiyev, P Avgustinov, T Ekman, N Ongkingco, ... Seventh IEEE International Working Conference on Source Code Analysis and …, 2007 | 109 | 2007 |
| Nonlinear prediction of mobile radio channels: measurements and MARS model designs T Ekman, G Kubin 1999 IEEE international conference on acoustics, speech, and signal …, 1999 | 92 | 1999 |
| Prediction of mobile radio channels T Ekman Signals and systems [Signaler och system], Univ., 2000 | 82 | 2000 |
| Sensor networks for cognitive radio: Theory and system design B Mercier, V Fodor, R Thobaben, M Skoglund, V Koivunen, S Lindfors, ... ICT mobile summit, 10-17, 2008 | 80 | 2008 |
| Unbiased power prediction of Rayleigh fading channels T Ekman, M Sternad, A Ahlén Proceedings IEEE 56th Vehicular Technology Conference 1, 280-284, 2002 | 76 | 2002 |
| Performance analysis of energy detection for MIMO decision fusion in wireless sensor networks over arbitrary fading channels PS Rossi, D Ciuonzo, K Kansanen, T Ekman IEEE Transactions on Wireless Communications 15 (11), 7794-7806, 2016 | 66 | 2016 |
| Channel predictive proportional fair scheduling HJ Bang, T Ekman, D Gesbert IEEE Transactions on Wireless Communications 7 (2), 482-487, 2008 | 66 | 2008 |
| On MMSE estimation: A linear model under Gaussian mixture statistics JT Flam, S Chatterjee, K Kansanen, T Ekman IEEE Transactions on Signal Processing 60 (7), 3840-3845, 2012 | 61 | 2012 |
| Energy detection for MIMO decision fusion in underwater sensor networks PS Rossi, D Ciuonzo, T Ekman, H Dong IEEE Sensors Journal 15 (3), 1630-1640, 2014 | 57 | 2014 |
| Parametrization based limited feedback design for correlated MIMO channels using new statistical models BE Godana, T Ekman IEEE transactions on wireless communications 12 (10), 5172-5184, 2013 | 56 | 2013 |
| On the space-time variations of rain attenuation M Cheffena, LE Braten, TÖ Ekman IEEE transactions on antennas and propagation 57 (6), 1771-1782, 2009 | 56 | 2009 |
| HMM-based decision fusion in wireless sensor networks with noncoherent multiple access PS Rossi, D Ciuonzo, T Ekman IEEE Communications Letters 19 (5), 871-874, 2015 | 55 | 2015 |
| Analysis of aggregate interference and primary system performance in finite area cognitive radio networks L Vijayandran, P Dharmawansa, T Ekman, C Tellambura IEEE Transactions on Communications 60 (7), 1811-1822, 2012 | 55 | 2012 |
| Capacity limits of dense palm-sized MIMO arrays D Gesbert, T Ekman, N Christophersen Global Telecommunications Conference, 2002. GLOBECOM'02. IEEE 2, 1187-1191, 2002 | 52 | 2002 |
| Power prediction on broadband channels M Sternad, T Ekman, A Ahlén IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat …, 2001 | 51 | 2001 |
| New approaches for channel prediction based on sinusoidal modeling M Chen, T Ekman, M Viberg EURASIP Journal on Advances in Signal Processing 2007, 1-13, 2006 | 46 | 2006 |
| On energy detection for MIMO decision fusion in wireless sensor networks over NLOS fading PS Rossi, D Ciuonzo, K Kansanen, T Ekman IEEE Communications Letters 19 (2), 303-306, 2014 | 45 | 2014 |
| A deterministic round earth loss model for open-sea radio propagation K Yang, AF Molisch, T Ekman, T Roste 2013 IEEE 77th Vehicular Technology Conference (VTC Spring), 1-5, 2013 | 43 | 2013 |
Arne SvenssonChalmers University of TechnologyEmail verificata su chalmers.se