Ganapathy Vieeralingaam, Ramachandran Ramanathan, Ohtsuki Tomoaki
Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India.
Department of Information and Computer Science, Keio University, Tokyo 108-8345, Japan.
Sensors (Basel). 2023 Sep 25;23(19):8069. doi: 10.3390/s23198069.
In this paper, we optimize the secrecy capacity of the legitimate user under resource allocation and security constraints for a multi-antenna environment for the simultaneous transmission of wireless information and power in a dynamic downlink scenario. We study the relationship between secrecy capacity and harvested energy in a power-splitting configuration for a nonlinear energy-harvesting model under co-located conditions. The capacity maximization problem is formulated for the vehicle-to-vehicle communication scenario. The formulated problem is non-convex NP-hard, so we reformulate it into a convex form using a divide-and-conquer approach. We obtain the optimal transmit power matrix and power-splitting ratio values that guarantee positive values of the secrecy capacity. We analyze different vehicle-to-vehicle communication settings to validate the differentiation of the proposed algorithm in maintaining both reliability and security. We also substantiate the effectiveness of the proposed approach by analyzing the trade-offs between secrecy capacity and harvested energy.
在本文中，我们针对动态下行链路场景中无线信息与功率同时传输的多天线环境，在资源分配和安全约束条件下优化合法用户的保密容量。我们研究了共址条件下非线性能量收集模型在功率分配配置中保密容量与收集能量之间的关系。针对车对车通信场景制定了容量最大化问题。所制定的问题是非凸NP难问题，因此我们采用分治法将其重新表述为凸形式。我们获得了保证保密容量为正值的最优发射功率矩阵和功率分配比值。我们分析了不同的车对车通信设置，以验证所提算法在维持可靠性和安全性方面的差异。我们还通过分析保密容量与收集能量之间的权衡，证实了所提方法的有效性。
