论文标题
物理层安全辅助计算在智能连接的车辆网络中卸载
Physical Layer Security Assisted Computation Offloading in Intelligently Connected Vehicle Networks
论文作者
论文摘要
在本文中,我们建议在智能连接的车辆(ICV)网络中提出一个安全的计算卸载方案(SCO),旨在通过将计算任务的一部分计算任务最小化,以最大程度地减少计算任务的一部分计算任务,同时通过物理层安全性,在偏移阶段和反馈阶段中确保了在偏移阶段提供的信息。现有的计算卸载方案通常忽略了通道的时变特征及其相应的保密率,从而导致不适当的任务分区比率和较大的保密中断概率。为了解决这些问题,我们利用千古的保密率来确定将多少任务卸载到边缘,在这些任务中,ergodic保密率代表了时间变化的无线通道中所有实现的平均保密率。提出了自适应窃听代码速率,并具有秘密中断约束,以匹配时变的无线通道。此外,即使没有窃听器通道状态信息(CSI),提议的安全光束形成和人造噪声(AN)方案也可以提高上行链路和下行链路通道的急性保密率。数值结果表明,所提出的方案的系统延迟比忽略了时变特征的策略要短。
In this paper, we propose a secure computation offloading scheme (SCOS) in intelligently connected vehicle (ICV) networks, aiming to minimize overall latency of computing via offloading part of computational tasks to nearby servers in small cell base stations (SBSs), while securing the information delivered during offloading and feedback phases via physical layer security. Existing computation offloading schemes usually neglected time-varying characteristics of channels and their corresponding secrecy rates, resulting in an inappropriate task partition ratio and a large secrecy outage probability. To address these issues, we utilize an ergodic secrecy rate to determine how many tasks are offloaded to the edge, where ergodic secrecy rate represents the average secrecy rate over all realizations in a time-varying wireless channel. Adaptive wiretap code rates are proposed with a secrecy outage constraint to match time-varying wireless channels. In addition, the proposed secure beamforming and artificial noise (AN) schemes can improve the ergodic secrecy rates of uplink and downlink channels even without eavesdropper channel state information (CSI). Numerical results demonstrate that the proposed schemes have a shorter system delay than the strategies neglecting time-varying characteristics.