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Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks.
Josip Lorincz1, Ivana Ramljak2, Dinko Begušić1
1Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, 21000 Split, Croatia.
Sensors (Basel, Switzerland)
|November 27, 2021
Summary
Energy detection (ED) performance in cognitive radio networks (CRNs) using MIMO-OFDM systems is analyzed. Optimizing factors like PU transmit power and MIMO branches enhances spectrum sensing capabilities for future mobile networks.
Area of Science:
- Wireless Communications
- Signal Processing
- Cognitive Radio Networks
Background:
- Cognitive radio (CR) enables dynamic spectrum access by detecting unutilized spectrum.
- Energy detection (ED) is a common method for detecting primary user (PU) activity in CR.
- Orthogonal frequency-division multiplexing (OFDM) and multiple-input multiple-output (MIMO) transmissions improve spectral efficiency and are key for future mobile networks (5G/6G).
Purpose of the Study:
- To introduce a mathematical formulation for analyzing ED performance in MIMO-OFDM systems using the square-law combining (SLC) method.
- To evaluate the impact of various factors on ED performance in MIMO-OFDM cognitive radio networks (CRNs).
Main Methods:
- Developed algorithms for simulating and analyzing ED performance based on SLC in MIMO-OFDM systems.
- Investigated systems with varying numbers of transmit (Tx) and receive (Rx) MIMO branches.
- Simulated performance under different signal-to-noise ratios (SNRs) and modulation techniques.
Main Results:
- Presented the impact of PU transmit power, false alarm probability, number of MIMO branches, number of samples, and modulation techniques on ED performance.
- Demonstrated how adjusting these factors influences the effectiveness of spectrum sensing in MIMO-OFDM CRNs.
- Quantified the performance of ED using SLC in diverse MIMO-OFDM configurations.
Conclusions:
- The study provides a framework for analyzing ED performance in MIMO-OFDM CRNs.
- Appropriate selection of factors such as PU Tx power, false alarm probability, and MIMO configuration can significantly enhance ED performance.
- Findings are crucial for optimizing spectrum sensing in next-generation mobile networks.
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