2006Unpublished venueRequires access

Outage Probability Analysis of MRC with Unequal Power Nakagami-M Co-Channel Interference and AWGN

Guanglian Wang, Dian‐Wu Yue, Baorong Feng

Open publisher page 6 citations

Abstract

This paper investigates the outage performance for a wireless system employing maximal ratio combining over various fading channels with Nakagami-m faded co-channel interferers (CCIs) and additive white Gaussian noise (AWGN). For the general case with unequal power CCIs and AWGN, it derives the exact closed-form expressions of the outage probability when the desired signal is subject to Rayleigh, Rician or Nakagami-m fading. Some numerical examples are given to illustrate the effects of various parameters on the system performance

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What this paper is about

This paper investigates the outage performance for a wireless system employing maximal ratio combining over various fading channels with Nakagami-m faded co-channel interferers (CCIs) and additive white Gaussian noise (AWGN). For the general case with unequal power CCIs and AWGN, it derives the exact closed-form expressions of the outage probability when the desired signal is subject to Rayleigh, Rician or Nakagami-m fading. Some numerical examples are given to illustrate the effects of various parameters on the system performance

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Available abstract

This paper investigates the outage performance for a wireless system employing maximal ratio combining over various fading channels with Nakagami-m faded co-channel interferers (CCIs) and additive white Gaussian noise (AWGN). For the general case with unequal power CCIs and AWGN, it derives the exact closed-form expressions of the outage probability when the desired signal is subject to Rayleigh, Rician or Nakagami-m fading. Some numerical examples are given to illustrate the effects of various parameters on the system performance

Key concepts: Nakagami distribution, Additive white Gaussian noise, Rician fading, Fading, Interference (communication), Co-channel interference, Channel (broadcasting), Fading distribution

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