JOURNAL ARTICLE

Unified approach for performance analysis of Cognitive Radio Spectrum Sensing over correlated multipath fading channels

Abstract

In this work, we analyse the performance of Cognitive Radio Spectrum Sensing (CRSS) systems with multiple receiving antennas considering the effect of correlation among fading branches. Exact closed-form expressions for the average detection probabilities (P̅ D ) are derived employing Probability Density Functions (PDF) approach for n.i.i.d.-L number of diversity branches over Nakagami-m fading channels with Maximal Ratio Combining (MRC) diversity. Performance analysis reveals the detrimental effect of the correlation on detection performance thus decreasing detection probability. However, results also show that this effect could be compensated through employing diversity combining technique and by increasing the diversity branches.

Keywords:
Fading Cognitive radio Multipath propagation Nakagami distribution Maximal-ratio combining Algorithm Diversity scheme Diversity combining Probability density function Computer science Spectrum (functional analysis) Electronic engineering Mathematics Statistics Topology (electrical circuits) Telecommunications Physics Engineering Wireless Combinatorics Channel (broadcasting)

Metrics

11
Cited By
1.00
FWCI (Field Weighted Citation Impact)
23
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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