在车辆网络中存在多天线窃听器的安全MIMO-SWIPT系统的资源配置
Vieeralingaam Ganapathy1, Ramanathan Ramachandran1, Tomoaki Ohtsuki2
1Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
这项研究优化了车辆对车辆 (V2V) 网络中的无线信息和功率传输安全性. 拟议的方法提高了保密能力和收获的能量,确保可靠和安全的V2V通信.
科学领域:
- 无线通信无线通信
- 信息理论 信息理论
- 收集能源 收集能源
背景情况:
- 动态下行链路场景需要同时进行无线信息和功率传输 (SWIPT).
- 在多天线环境中,确保安全的通信和最大化能源采集至关重要.
- 车辆对车辆 (V2V) 通信对资源分配和安全提出了独特的挑战.
研究的目的:
- 在动态的SWIPT下链场景中,优化合法用户的保密能力.
- 通过使用非线性能源采集模型,研究隐藏能力和采集能源之间的相互作用.
- 制定和解决V2V通信的容量最大化问题.
主要方法:
- 在多天线系统中的安全约束下优化资源配置.
- 对分发电力配置和非线性能源采集的分析.
- 将一个非凸的NP-hard容量最大化问题的重构成一个凸的形式,使用分割与征服的方法.
主要成果:
- 导出了最佳的发射功率矩阵和功率分割比值,确保了积极的保密能力.
- 拟议的算法在各种V2V设置中有效地保持了可靠性和安全性.
- 通过分析秘密能力和收获能源之间的权衡来证明有效性.
结论:
- 开发的方法成功地优化了V2V SWIPT系统中的保密能力和收集的能量.
- 该方法提供了一个强大的解决方案,用于在动态无线环境中提高安全性和可靠性.
- 权衡分析证实了拟议的资源分配战略的实际适用性.
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