A 3D Non-Stationary Channel Model with Moving Mobile Station in Rectangular Tunnel

Ren, Zhicheng; Zhang, Fangqi; Zheng, Guoxin; Saleem, Asad; Guan, Ke

doi:10.1155/2019/6750153

Cited by 3 publications

(2 citation statements)

References 23 publications

(33 reference statements)

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“…RSU: Keeping in view the availability and stability of RSUs alongside the road, their primary role is to calculate, store, and provide the aggregate reputation of every vehicle to the requesting nodes. In addition to RSUs, we determine public buses as moving RSU (mRSU) [42,43]. Due to their mobility and prolonged availability, they are suitable to provide reputations to the vehicles.…”

Section: System Componentsmentioning

confidence: 99%

A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking

et al. 2023

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Named data networking (NDN) is gaining momentum in vehicular ad hoc networks (VANETs) thanks to its robust network architecture. However, vehicular NDN (VNDN) faces numerous challenges, including security, privacy, routing, and caching. Specifically, the attackers can jeopardize vehicles’ cache memory with a Content Poisoning Attack (CPA). The CPA is the most difficult to identify because the attacker disseminates malicious content with a valid name. In addition, NDN employs request–response-based content dissemination, which is inefficient in supporting push-based content forwarding in VANET. Meanwhile, VNDN lacks a secure reputation management system. To this end, our contribution is three-fold. We initially propose a threshold-based content caching mechanism for CPA detection and prevention. This mechanism allows or rejects host vehicles to serve content based on their reputation. Secondly, we incorporate a blockchain system that ensures the privacy of every vehicle at roadside units (RSUs). Finally, we extend the scope of NDN from pull-based content retrieval to push-based content dissemination. The experimental evaluation results reveal that our proposed CPA detection mechanism achieves a 100% accuracy in identifying and preventing attackers. The attacker vehicles achieved a 0% cache hit ratio in our proposed mechanism. On the other hand, our blockchain results identified tempered blocks with 100% accuracy and prevented them from storing in the blockchain network. Thus, our proposed solution can identify and prevent CPA with 100% accuracy and effectively filters out tempered blocks. Our proposed research contribution enables the vehicles to store and serve trusted content in VNDN.

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Section: System Componentsmentioning

confidence: 99%

A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking

et al. 2023

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“…It should be noted that Doppler PSD is usually symmetric in isotropic cases and different for angular parameters, i.e., the mean AoA and the angle of motion for HST have a high influence in PSDs. In [115], a 3D GBSM model was investigated to evaluate the non-stationarity of different channels in a rectangular tunnel environment. Due to the narrow and long space of a tunnel scenario, the complex geometry of tunnel interior walls can induce more scatterers.…”

Section: Gbsm Channel Modelingmentioning

confidence: 99%

A Critical Review on Channel Modeling: Implementations, Challenges and Applications

Saleem

Zhang

et al. 2023

Electronics

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In recent years, the use of massive multiple-input multiple-output (MIMO) systems and higher frequency bands for next-generation urban rail transportation systems has emerged as an intriguing research topic due to its potential to significantly increase network capacity by utilizing available narrowband and broadband spectrums. In metro and mining applications, the high-reliability wireless sensor network (WSN) plays a vital role in providing personal safety, channel optimization, and improving operational performance. Through the duration of 1921–2023, this paper provides the survey on the progress of fifth-generation (5G) and beyond-fifth-generation (B5G) wireless communication systems in underground environments such as tunnels and mines, the evolution of the earliest technologies, development in channel modeling for vehicle-to-vehicle (V2V) communications, and realization of different wireless propagation channels in high-speed train (HST) environments. In addition, the most recent advanced channel modeling methods are examined, including the development of new algorithms and their use in intelligent transportation systems (ITS); mathematical, analytical, and experimental techniques for propagation design; and the significance of the radiation characteristics, antenna placing, and physical environment effect on wireless communications. Leaky coaxial cable (LCX) and distributed antenna system (DAS) designs are introduced in the demonstrated systems for improving the channel capacity of narrowband and wideband channels as well as the spatial characteristics of various MIMO systems. The review article concludes by figuring out open research directions for future technologies.

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Optimization of Wireless Communication Coverage in Underground Tunnels Based on Zone Division

Huo

Sun

et al. 2020

International Journal of Antennas and Propagation

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In order to reduce the path loss of the wireless communication signal in the underground tunnel, a scheme for configuring the antenna polarization of wireless systems based on a zone-division method is proposed. A multimodal method is used to estimate the effect of antenna polarization on the wireless propagation. When the optimal polarization of the antenna leading to low path loss is different in the zones near and far from the transmitting antenna, a dividing point is used to separate the zones. Experiments are conducted in an underground mine. It shows that the results by the multimodal method are consistent with the real data. Compared with the existing coverage schemes, the proposed scheme can obtain better coverage. Meanwhile, zone division has an important influence on the optimized performance of the wireless coverage. The zones divided based on Fresnel zone clearance and system identification are too small or too large, which result in incorrect polarization switching and high path loss.

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A 3D Non-Stationary Channel Model with Moving Mobile Station in Rectangular Tunnel

Cited by 3 publications

References 23 publications

A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking

A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking

A Critical Review on Channel Modeling: Implementations, Challenges and Applications

Optimization of Wireless Communication Coverage in Underground Tunnels Based on Zone Division

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