Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed Channels
In this paper, the statistical characteristics of the multi-cascade κ-μ shadowed fading channels are investigated and analyzed under the classic Wyner’s eavesdropping model. In particular, the general accurate expressions of the probability density function and the cumulative distribution function f...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/5342655 |
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| _version_ | 1832549149539565568 |
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| author | Xiaohong Wang Ming Ren Yiwei Fang Xinji Tian Yanyang Zeng |
| author_facet | Xiaohong Wang Ming Ren Yiwei Fang Xinji Tian Yanyang Zeng |
| author_sort | Xiaohong Wang |
| collection | DOAJ |
| description | In this paper, the statistical characteristics of the multi-cascade κ-μ shadowed fading channels are investigated and analyzed under the classic Wyner’s eavesdropping model. In particular, the general accurate expressions of the probability density function and the cumulative distribution function for amplitude and signal-to-noise ratio (SNR) are derived for the first time. Moreover, we further utilize the two performance evaluation metrics including outage probability and intercept probability to investigate the impacts of cascade number and channel parameters on reliability and security. Finally, the theoretical results are consistent with the simulations, proving the correctness of the derivation. The interesting conclusion is that when the average SNR is greater than 2 dB, the reliability of the multi-cascade model will decrease as the number of cascade increases; on the contrary, more cascading can lead to stronger anti-eavesdropping ability. |
| format | Article |
| id | doaj-art-24472f51859041d4a05285c6ffa38610 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-24472f51859041d4a05285c6ffa386102025-02-03T06:11:55ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/5342655Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed ChannelsXiaohong Wang0Ming Ren1Yiwei Fang2Xinji Tian3Yanyang Zeng4The College of Physics and Electronic Information EngineeringThe Department of Mathematics and Physics EducationThe Wuhan Maritime Communication Research InstituteThe College of Physics and Electronic Information EngineeringThe College of Computer Science and TechnologyIn this paper, the statistical characteristics of the multi-cascade κ-μ shadowed fading channels are investigated and analyzed under the classic Wyner’s eavesdropping model. In particular, the general accurate expressions of the probability density function and the cumulative distribution function for amplitude and signal-to-noise ratio (SNR) are derived for the first time. Moreover, we further utilize the two performance evaluation metrics including outage probability and intercept probability to investigate the impacts of cascade number and channel parameters on reliability and security. Finally, the theoretical results are consistent with the simulations, proving the correctness of the derivation. The interesting conclusion is that when the average SNR is greater than 2 dB, the reliability of the multi-cascade model will decrease as the number of cascade increases; on the contrary, more cascading can lead to stronger anti-eavesdropping ability.http://dx.doi.org/10.1155/2022/5342655 |
| spellingShingle | Xiaohong Wang Ming Ren Yiwei Fang Xinji Tian Yanyang Zeng Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed Channels Journal of Advanced Transportation |
| title | Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed Channels |
| title_full | Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed Channels |
| title_fullStr | Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed Channels |
| title_full_unstemmed | Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed Channels |
| title_short | Statistical Characteristics and Security Analysis over Multi-Cascade κ-μ Shadowed Channels |
| title_sort | statistical characteristics and security analysis over multi cascade κ μ shadowed channels |
| url | http://dx.doi.org/10.1155/2022/5342655 |
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