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Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems
Josip Lorincz1, Ivana Ramljak2, Dinko Begusic1
1Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, 21000 Split, Croatia.
Sensors (Basel, Switzerland)
|October 26, 2021
Summary
Cognitive radio
Area of Science:
- Wireless Communication
- Signal Processing
Background:
- Cognitive radio enables dynamic spectrum access for secondary users (SUs) by detecting primary user (PU) activity.
- Energy detection (ED) is a simple yet effective spectrum sensing (SS) method for PU signal identification.
Purpose of the Study:
- To analyze the performance of ED-based SS in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems.
- To develop and utilize a novel simulation algorithm for comprehensive ED performance analysis using Square-Law Combining (SLC).
Main Methods:
- Developed a new algorithm for simulating the ED process with Square-Law Combining (SLC).
- Conducted simulation analyses of ED performance in MIMO-OFDM systems under various operating conditions.
- Investigated the impact of parameters like SNR, number of samples, PU transmit power, modulation type, and MIMO configurations on detection probability and false alarm rates.
Main Results:
- The proposed algorithm allows detailed simulation of ED performance with SLC for diverse MIMO-OFDM environments.
- Analyzed the influence of key parameters on PU signal detection probability and the impact of false alarms.
- Quantified how operating parameters affect the energy detection efficiency in both symmetric and asymmetric MIMO-OFDM systems.
Conclusions:
- The study provides a comprehensive simulation framework for evaluating ED-based SS in MIMO-OFDM systems.
- Understanding the impact of various parameters is crucial for optimizing spectrum sensing efficiency.
- The developed algorithm facilitates in-depth analysis for practical cognitive radio deployments.
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