Secrecy and Throughput Performance of Cooperative Cognitive Decode-and-Forward Relaying Vehicular Networks with Direct Links and Poisson Distributed Eavesdroppers

Author:

Wang Fan1ORCID,Li Cuiran1ORCID,Xie Jianli1,Su Lin1,Liu Yadan2,Du Shaoyi3

Affiliation:

1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

2. School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China

3. Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an 710049, China

Abstract

Cooperative communication and cognitive radio can effectively improve spectrum utilization, coverage range, and system throughput of vehicular networks, whereas they also incur several security issues and wiretapping attacks. Thus, security and threat detection are vitally important for such networks. This paper investigates the secrecy and throughput performance of an underlay cooperative cognitive vehicular network, where a pair of secondary vehicles communicate through a direct link and the assistance of a decode-and-forward (DF) secondary relay in the presence of Poisson-distributed colluding eavesdroppers and under an interference constraint set by the primary receiver. Considering mixed Rayleigh and double-Rayleigh fading channels, we design a realistic relaying transmission scheme and derive the closed-form expressions of secrecy and throughput performance, such as the secrecy outage probability (SOP), the connection outage probability (COP), the secrecy and connection outage probability (SCOP), and the overall secrecy throughput, for traditional and proposed schemes, respectively. An asymptotic analysis is further presented in the high signal-to-noise ratio (SNR) regime. Numerical results illustrate the impacts of network parameters on secrecy and throughput and reveal that the advantages of the proposed scheme are closely related to the channel gain of the relay link compared to the direct link.

Funder

National Natural Science Foundation of China

Young Scholars Science Foundation of Lanzhou Jiaotong University

Publisher

MDPI AG

Reference53 articles.

1. Outage performance of mobile V2V cooperative networks;Xu;Phys. Commun.,2019

2. Throughput and energy efficiency of cooperative ARQ strategies for VANETs based on hybrid vehicle communication mode;Li;IEEE Access,2020

3. Performance analysis of cooperative V2V and V2I communications under correlated fading;Ngo;IEEE Trans. Intell. Transp.,2020

4. Cooperative computation offloading and resource allocation for blockchain-enabled mobile-edge computing: A deep reinforcement learning approach;Feng;IEEE Int. Things J.,2020

5. Suneel, Y., and Anshul, P. (2019, January 16–19). On the secrecy performance of cooperative cognitive vehicular relay networks. Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), BITS Pilani, Goa, India.

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