Analysis of the efficiency of space­time access in the mobile communication systems based on an antenna array

Authors

  • Naors Y. Anad Alsaleem University of AL-hamdaniya Ninavah, 79CF+PV, Bakhdida, Hamdaniya, Iraq, Iraq https://orcid.org/0000-0002-0785-2674
  • Mohammed A. Kashmoola University of AL-hamdaniya Ninavah, 79CF+PV, Bakhdida, Hamdaniya, Iraq, Iraq
  • Mykola Moskalets Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0003-1726-1250

DOI:

https://doi.org/10.15587/1729-4061.2018.150921

Keywords:

space-time access, adaptive space-time processing, antenna array, integrated weight coefficient

Abstract

We performed analysis of effectiveness of various methods and criteria of space-time processing of the signals by an adaptive antenna array with a view to identifying the algorithm suitable for using in arrangement of space-time access to mobile communication systems. It was shown that all methods are based on the assessment of an integrated vector of weight coefficients, included in the reception tract of every antenna element and controlled by certain algorithms.

It was shown that recursive procedures that make it possible to correct the vector of weight coefficients in the dynamic situation, including non-stationary signal-interference situation, are more constructive for using in problems of space-time access. This is especially important for communications with mobile subscriber stations and allows reducing the time for processing calling signals due to the rapid convergence of recursive procedures.

A comparative analysis of Widrow-Hoff and Kalman-Bucy algorithms was conducted. It was shown that the Kalman-Bucy procedure, in addition to optimality, in complicated signal-interference situation is characterized by maximally short time of convergence to the sustainable state. The convergence of the procedure is ensured on the time interval, allocated for the action of calling signals of subscriber stations in a mobile network.

We proposed the model for studying the influence of initial conditions on the effectiveness of space-time access by the parameter of the convergence rate of the algorithm for adaptive space-time signal processing in an antenna array. It is possible to approximate the vector value to the optimal due to configuration of the integrated vector of weight coefficient based on the use of the information about directions of arrival of calling signals of subscriber stations in a mobile network.

The results of the calculations of the indicator of the signal/(interference + noise) ratio on the convergence pitch for different algorithms of an adaptive antenna array were obtained. It was shown that it was possible to improve essentially the transitive characteristics of the algorithms for a linear four-element adaptive antenna array due to the successful initial choice of the value of the integrated vector of weight coefficients. This made it possible to increase the value of the signal/ (interference + noise) ratio at the outlet of an antenna up to 4 dB

Author Biographies

Naors Y. Anad Alsaleem, University of AL-hamdaniya Ninavah, 79CF+PV, Bakhdida, Hamdaniya, Iraq

PhD

Department of Computer Science

Mohammed A. Kashmoola, University of AL-hamdaniya Ninavah, 79CF+PV, Bakhdida, Hamdaniya, Iraq

Department of Computer Science

Mykola Moskalets, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Associate Рrofessor

Department of Infocommunication Engineering

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Published

2018-12-13

How to Cite

Alsaleem, N. Y. A., Kashmoola, M. A., & Moskalets, M. (2018). Analysis of the efficiency of space­time access in the mobile communication systems based on an antenna array. Eastern-European Journal of Enterprise Technologies, 6(9 (96), 38–47. https://doi.org/10.15587/1729-4061.2018.150921

Issue

Vol. 6 No. 9 (96) (2018): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2018 Naors Y. Anad Alsaleem, Mohammed A. Kashmoola, Mykola Moskalets

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