George Tsoulos

Prof. George Tsoulos

Wireless and Mobile Communications Lab, Dept. of Informatics and Telecommunications, University of Peloponnese, Trípoli, Peloponnísos, Greece
orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 1999 in Electronics & Communication Engineering Journal
Verified
Journal Article
Closed access
George TsoulosGeorge Tsoulos
George Tsoulos
Spatial filtering using adaptive or smart antennas has emerged as a promising technique to improve the performance of cellular mobile systems. This paper presents an overview of smart antennas in terms of key characteristics, options, challenges and benefits, in the context of current, but also with a view towards future, generation personal communication systems.

7 August 2002 in IEEE Communications Letters
Verified
Journal Article
Closed access
SLS. Loyka
S. Loyka
George TsoulosGeorge Tsoulos
George Tsoulos
The channel capacity of a multiple-input-multiple-output (MIMO) communication system depends substantially on correlation between individual receive branches. We investigate the MIMO capacity using the correlation matrix approach and the Salz-Winters (1994) spatial correlation model. It is shown that for a linear array, correlation has no impact on the MIMO channel capacity provided that the two-element array beamwidth is smaller than the angle spread of the incoming signals. Simple but accurate approximations for the correlation coefficient and the corresponding channel capacity are derived for different angular spreads.

1 January 1997 in IEEE Communications Magazine
Verified
Journal Article
Closed access
George TsoulosGeorge Tsoulos
George Tsoulos
MBM. Beach
M. Beach
JMJ. McGeehan
J. McGeehan

18 March 2019 in IEEE Transactions on Antennas and Propagation
Verified
Journal Article
Closed access
Sotirios K.  GoudosSotirios K. Goudos
Sotirios K. Goudos
George TsoulosGeorge Tsoulos
George Tsoulos
GAGeorgia Athanasiadou
Georgia Athanasiadou
MBMichael C. Batistatos
Michael C. Batistatos
DZDimitra Zarbouti
Dimitra Zarbouti
Kostas PsannisKostas Psannis
Kostas Psannis
Channel modelling of wireless communications from unmanned aerial vehicles (UAVs) is an emerging research challenge. In this paper, we propose a solution to this issue by applying a new framework for the prediction of received signal strength (RSS) in mobile communications based on Artificial Neural Networks (ANN). The experimental data measurements are taken with an UAV at different altitudes. We apply several evolutionary algorithms (EAs) in conjunction with the Levenberg-Marquardt (LM) back-propagation algorithm in order to train different ANNs and in particular the L-SHADE algorithm, which self-adapts control parameters and dynamically adjusts population size. Five new hybrid training methods are designed by combining LM with self-adaptive Differential Evolution (DE) strategies. These new training methods obtain better performance to ANN weight optimization than the original LM method. The received results are compared to the real values using representative ANN performance indices and exhibit satisfactory accuracy.

1 May 2012 in Journal of Network and Computer Applications
Verified
Journal Article
Closed access
MBM.C. Batistatos
M.C. Batistatos
George TsoulosGeorge Tsoulos
George Tsoulos
GAG.E. Athanasiadou
G.E. Athanasiadou

3 September 1998 in Electronics Letters
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Journal Article
Closed access
RPR.J. Piechocki
R.J. Piechocki
George TsoulosGeorge Tsoulos
George Tsoulos
JMJ.P. McGeehan
J.P. McGeehan
To enhance the flexibility of a geometrical single reflection statistical model to describe more accurately different large cell mobile communications operational scenarios, the general case of scatterers distributed within an ellipse is considered. Based on this model, a simple formula for the probability density function (PDF) of the angle of arrival is presented. The PDF for the case of scatterers distributed within a circle is also derived as a special case of the presented PDF.