Department of Electronics and Communication Engineering, Indian Institute of Information Technology Allahabad, Prayagraj 211015, India.
Secure Systems Research Center, Technology Innovation Institute, Abu Dhabi 9639, United Arab Emirates.
Sensors (Basel). 2021 Oct 28;21(21):7160. doi: 10.3390/s21217160.
Vehicular communication has been envisioned to support a myriad of essential fifth-generation and beyond use-cases. However, the increasing proliferation of smart and intelligent vehicles has generated a lot of design and infrastructure challenges. Of particular interest are the problems of spectrum scarcity and communication security. Consequently, we considered a cognitive radio-enabled vehicular network framework for accessing additional radio spectrum and exploit physical layer security for secure communications. In particular, we investigated the secrecy performance of a cognitive radio vehicular network, where all the nodes in the network are moving vehicles and the channels between them are modeled as double-Rayleigh fading. Furthermore, adopting an underlay approach, the communication between secondary nodes can be performed by employing two interference constraint strategies at the primary receiver; (1) Strategy I: the secondary transmitter power is constrained by the interference threshold of the primary receiver, and (2) Strategy II: the secondary transmitter power is constrained by both the interference threshold of the primary receiver and the maximum transmit power of the secondary network. Under the considered strategies, we derive the exact secrecy outage probability (SOP) and ergodic secrecy capacity (ESC) expressions over double-Rayleigh fading. Moreover, by analyzing the asymptotic SOP behavior, we show that a full secrecy diversity of 1 can be achieved, when the average channel gain of the main link goes to infinity with a fixed average wiretap channel gain. From the ESC analysis, it is revealed that the ESC follows a scaling law of ΘlnΩm2Ωe2 for large Ωm and Ωe, where Ωm and Ωe are the average channel gains of the main link and wiretap link. The numerical and simulation results verify our analytical findings.
车联网被认为可以支持众多第五代及更高级别的基本用例。然而,智能和自动驾驶车辆的日益普及,带来了很多设计和基础设施方面的挑战。特别值得关注的是频谱稀缺和通信安全问题。因此,我们考虑了一种基于认知无线电的车载网络框架,以访问额外的无线电频谱,并利用物理层安全进行安全通信。具体来说,我们研究了认知无线电车载网络的保密性能,其中网络中的所有节点都是移动车辆,它们之间的信道被建模为双瑞利衰落。此外,采用覆盖策略,在主接收机采用两种干扰约束策略,即可在次用户之间进行通信;(1)策略 I:次用户的发射功率受主接收机干扰阈值的约束,(2)策略 II:次用户的发射功率同时受主接收机干扰阈值和次网络最大发射功率的约束。在所考虑的策略下,我们推导出了双瑞利衰落信道下的精确保密中断概率(SOP)和遍历保密容量(ESC)表达式。此外,通过分析渐近 SOP 行为,我们表明,当主链路的平均信道增益随固定的窃听信道平均增益呈指数增长时,可实现 1 的完全保密分集。从 ESC 分析可知,当主链路和窃听链路的平均信道增益Ωm和Ωe较大时,ESC 遵循ΘlnΩm2Ωe2的尺度律。数值和仿真结果验证了我们的分析结果。