Abstract

This paper investigates the joint impact of nodes' mobility and imperfect channel estimates on the secrecy performance of an underlay cognitive radio vehicular network over Nakagami-m fading channels. Specifically, the secondary network consists of a single-antenna source vehicle, an N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> D</sub> -antenna destination vehicle, and an N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> E</sub> -antenna passive eavesdropper vehicle, whereas the primary network comprises of a single-antenna primary receiver vehicle. The time selective fading links arise due to nodes' mobility are modeled via first-order auto-regressive process, and the channel state information is estimated using linear minimum mean square error estimation method. Moreover, the transmit power of secondary source is constrained by both the interference threshold of the primary receiver and the maximum transmit power of secondary network. Under such a realistic scenario, we derive the analytical closed-form secrecy outage probability (SOP) and ergodic secrecy capacity expressions. Furthermore, we present asymptotic SOP analysis to obtain key insights into the system's secrecy diversity order. We also report several practical cases of interest to reveal valuable information about the system's secrecy behavior. Moreover, we illustrate the impacts of system/channel parameters, nodes' mobility, imperfect channel estimates, interference temperature limit, and the maximum available source power. Finally, the simulation studies corroborate our derived analytical findings.

Highlights

  • With the proliferation of wireless technologies, the autonomous vehicles enabled with various wireless communication capabilities have transformed the simple transportation modes, e.g., cars, buses, into a novel paradigm of Internet of Vehicles (IoV) infrastructures [1]

  • PHYsecurity in cognitive radio vehicular networks (CRVNs) is quite challenging under the combined effects of imperfect channel estimates and nodes’ mobility, which is the main focus of this paper

  • The authors in [52] have made an effort to investigate the secrecy performance of CRVNs by considering the joint impact of nodes’ mobility and imperfect channel estimates, but this work was limited under the consideration of i) single-antenna terminals case, ii) peak type of interference constraint at the primary receiver, iii) classical Rayleigh fading

Read more

Summary

INTRODUCTION

With the proliferation of wireless technologies, the autonomous vehicles enabled with various wireless communication capabilities have transformed the simple transportation modes, e.g., cars, buses, into a novel paradigm of Internet of Vehicles (IoV) infrastructures [1]. Because of the lucrative services offered by such networks, they can play an integral role in the upcoming fifth generation and beyond communication networks [3], [4] Since, such networks are engaged in both the real-time and non-real time services, and are having decentralized nature and heterogeneity in their characteristics, they may suffer from various issues in the form of security, mobility, and channel estimation [5], [6]. Such vehicular networks witnessed a huge surge in the wireless data traffic over the limited spectrum allocated for the communication [7]. PHYsecurity in CRVNs is quite challenging under the combined effects of imperfect channel estimates and nodes’ mobility, which is the main focus of this paper

Related Works
Motivation
Contributions
SYSTEM AND CHANNEL MODELS
Modeling of Nodes’ Mobility and Imperfect Channel Estimates
Instantaneous End-to-End SNRs
Preliminaries
PERFORMANCE ANALYSIS
Exact SOP Analysis
Asymptotic SOP Analysis
Practical Cases of Interest
Impact of maximum transmit power Pmax and interference temperature limit Q
ESC Analysis
NUMERICAL RESULTS AND DISCUSSIONS
Secrecy outage probability
The limit imposed by 1 alongwith the effects of nodes’
CONCLUSIONS
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call