On the Performance of Random Cognitive mmWave Sensor Networks
Yi Song1,2,3, Weiwei Yang4, Zhongwu Xiang4
1School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, Huai'an 223300, China. sy@hytc.edu.cn.
Sensors (Basel, Switzerland)
|July 24, 2019
Summary
This study examines cognitive millimeter wave (mmWave) sensor networks, focusing on secure communication despite eavesdroppers. Introducing an interference constraint balances network security and primary user protection.
Area of Science:
- Wireless Communication
- Network Security
- Signal Processing
Background:
- Cognitive radio networks enable dynamic spectrum access.
- Millimeter wave (mmWave) communication offers high bandwidth but faces propagation challenges.
- Wiretap channels introduce security concerns in wireless networks.
Purpose of the Study:
- Investigate the secrecy performance of a cognitive mmWave wiretap sensor network.
- Analyze the impact of interference temperature constraints on network security.
- Evaluate the trade-offs between secondary network secrecy and primary network interference.
Main Methods:
- Utilizing stochastic geometry to derive closed-form expressions for secrecy throughput (ST).
- Incorporating mmWave specific characteristics like large antenna arrays and blockage sensitivity.
- Implementing an eavesdropper-exclusion sector guard zone around the secondary transmitter (SU-Tx).
Main Results:
- The interference temperature constraint effectively balances secrecy performance and primary network interference.
- Eavesdropper density, antenna gain, and guard zone radius significantly influence system performance.
- Blockages can enhance ST under specific conditions, offering a unique advantage.
Conclusions:
- The proposed model provides a framework for optimizing secure communication in cognitive mmWave sensor networks.
- System parameters can be tuned to achieve desired levels of security and interference management.
- Future research can explore adaptive strategies for dynamic environments.
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