Performance analysis of dual selection-based macrodiversity system over channels subjected to Nakagami-m fading and gamma shadowing

  • Authors:

  • Nikola M. Sekulovic;Edis S. Mekic;Dragana S. Krstic;Aleksandra D. Cvetkovic;Martina Zdravkovic;Mihajlo C. Stefanovic

  • Affiliations:

  • Faculty of Electronic Engineering, Department of Telecommunications, University of Nis, Serbia;Faculty of Electronic Engineering, Department of Telecommunications, University of Nis, Serbia;Faculty of Electronic Engineering, Department of Telecommunications, University of Nis, Serbia;Faculty of Electronic Engineering, Department of Telecommunications, University of Nis, Serbia;Faculty of Occupational Safety, University of Nis, Serbia and Faculty of Electronic Engineering, Department of Telecommunications;Faculty of Electronic Engineering, Department of Telecommunications, University of Nis, Serbia

  • Venue:
  • WSEAS TRANSACTIONS on COMMUNICATIONS
  • Year:
  • 2011

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Abstract

This paper studies wireless communication system following microdiversity to mitigate the effects of short-term fading and macrodiversity processing to reduce shadowing effects. N-branch maximal-ratio combining (MRC) is implemented at the micro level (single base station) and selection combining (SC) with two base stations (dual diversity) is implemented at the macro level. Model in the paper assumes a Nakagami-m density function for the envelope of the received signal and a gamma distribution to model the average power to account for shadowing. Analytical expressions for the probability density function (PDF), cumulative distribution function (CDF) and moments of signal after micro- and macrodiversity processing are derived. These expressions are used to study important system performance criteria such as the outage probability, average bit error probability (ABEP), average output signal value and amount of fading (AoF). Various numerical results are graphically presented to illustrate the proposed mathematical analysis and to show the effects of various system parameters to the system performance, as well as enhancement due to use of the combination of micro- and macrodiversity.