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Average Fade Duration of Dual Selection Diversity over Correlated Unbalanced Nakagami-m Fading Channels in the Presence of Cochannel Interference
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October 25, 2013
Abstract
A dual selection combining (SC) receiver with correlated and unbalanced diversity branches operating in interference-limited Nakagami-m fading environment is considered in this paper. Actually, average fade duration (AFD) of SC system applying desired signal decision algorithm is obtained. Numerical results can be used to examine the effects of fading severity, input signal-to-interference ratio (SIR) unbalance and level of branch correlation on the AFD, as well as the correctness of proposed analytical formulation.
Keywords: average fade duration; branch correlation; cochannel interference; Nakagami-m fading; selection combining
Received: 2013-1-5
Published Online: 2013-10-25
Published in Print: 2013-12-1
©[2013] by Walter de Gruyter Berlin Boston
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Keywords for this article
average fade duration;
branch correlation;
cochannel interference;
Nakagami-m fading;
selection combining
Articles in the same Issue
- Masthead
- Broadband Circularly Polarized Microstrip Antenna Using L-Shaped Probe and H-shaped Aperture-Coupling
- Broadband Circularly Polarized Cavity Backed Slot Antenna Array with Broadband Sequential Rotation Feed
- A Generalized Circuit Model for High Directivity Coupler Using Mu-Negative Transmission Lines
- A 0.6-V 5.2 GHz Folded Cascode LNA with Transformer-feedback Technique for Ultra Low Power Applications
- Improved Thermal Stability of RF Power BJT with Ballast Circuits
- Adaptive Power Allocation for Effective Capacity of TAS-MRC Systems
- Outage Probability of Interference-limited Switch and Stay Diversity System over Gamma Shadowed Nakagami-m Fading Channels
- Average Fade Duration of Dual Selection Diversity over Correlated Unbalanced Nakagami-m Fading Channels in the Presence of Cochannel Interference
- Performance Analysis of Cooperative ARQ Scheme with Co-channel Interference
- An Improved Adaptive Tracking Algorithm based on Iteration and Discriminator Optimization for Burst DSSS Signals