Dual Connectivity in Decoupled Aerial HetNets With Reverse Frequency Allocation and Clustered Jamming

Arif, Mohammad; Wyne, Shurjeel; Navaie, Keivan; Haroon, Muhammad Sajid; Qureshi, Sadia

doi:10.1109/access.2020.3042880

Cited by 5 publications

(5 citation statements)

References 45 publications

(90 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the legitimate communication in vehicular networks is disrupted by intentional-jamming created by groundjammers. Similar to [14], [15], we consider ground-jammers that can jam signals at multiple frequencies (e.g., they can jam F1 and F2 in Fig. 1) and can be modeled using a Matern cluster process (MCP) J which consists of parents (or number of jamming clusters) with density λ j and children (or number of ground-jammers in each cluster) with cluster-radius R j such that the density of ground-jammers in a network is given as λ J = λ j c, where c is the average number of children (or ground-jammers) per cluster.…”

Section: B Jammers Deploymentmentioning

confidence: 95%

“…dx and a is the PGF of clustered-jammers. The PGF is simplified in [14], [15] for clustered-jammers as…”

Section: ) Interference Of Jammersmentioning

confidence: 99%

“…For instance, communication between a platoon of tanks or armored ground vehicles can be disrupted by jamming attacks, if jammers are intentionally placed in the vicinity. Similarly, the performance of the aerial vehicles can be disrupted by jammers, if jammers are located in the region-of-interest [14], [15]. The most common types of jamming attacks in vehicular communications include denial of service (DoS), Sybil attack, malware, spam, man in the middle attack (MiM), etc.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of the authors' knowledge, this is the first research effort to investigate intentional-jamming for cellular-assisted vehicular communications. Particularly, we consider intentional-jamming due to clusters by modeling jammers as a clustering process [14], [15] and investigate networks' performance by modeling cellular BSs as a homogeneous PPP; while vehicles, pedestrians, and RSUs as a PLP [4], [5]. The novel contributions of this paper include i) Investigating the effect of jamming interference due to multiple clustered-jammers in cellular-assisted vehicular communications.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Interference Characterization in Cellular-Assisted Vehicular Communications With Jamming

2022

View full text Add to dashboard Cite

The automobile industry has been evolving with rapid growth over the last two decades. Conventionally, the narrow band dedicated short-range communications is used for the wireless connectivity of vehicular networks in the automobile industry. However, due to its shorter wireless range, higher latency, and lower capacity; cellular-assisted vehicular communications can be adopted to improve networks performance by disrupting the nearby infrastructure. The performance of cellular-assisted vehicular communications is typically compromised if jammers are present in their vicinity. Thus, it is important to characterize the interference in cellular-assisted vehicular communications with jammers. In this paper, we investigate jamming interference due to clustered-jammers for vehicular networks by considering that vehicles, roadside units, and pedestrians are modeled using an independent one-dimensional Poisson line process while cellular base stations are modeled using an independent two-dimensional homogeneous Poisson point process. The results show that jamming disrupts the performance of the vehicular networks and that this performance is severely compromised by increasing the density of jamming clusters and their transmission power. Therefore, the prime focus of the system designers should be to introduce anti-jamming scenario, when the transmission power and the number of jamming clusters in a network increase.

show abstract

Section: B Jammers Deploymentmentioning

confidence: 95%

“…dx and a is the PGF of clustered-jammers. The PGF is simplified in [14], [15] for clustered-jammers as…”

Section: ) Interference Of Jammersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interference Characterization in Cellular-Assisted Vehicular Communications With Jamming

2022

View full text Add to dashboard Cite

show abstract

“…The performance of a UAV-assisted cellular network has been characterized by modeling the base stations using PPP. The researchers in [10,[29][30][31] modeled UAV-assisted cellular networks that focused on the use of intelligent reflecting surfaces to improve network coverage. In their models, cellular base stations are characterized as a 2D PPP, while UAVs are characterized as a 3D PPP.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Fluctuating Antenna Beamwidth in UAV-Assisted Cellular Networks

Arif,

Kim

2023

Mathematics

Self Cite

View full text Add to dashboard Cite

This paper investigates a cellular network assisted by unmanned aerial vehicles (UAVs) in the presence of a fluctuating 3-dimensional (3D) antenna beamwidth. The primary objective is to perform an analysis of typical user equipment (T-UE) performance with a specific focus on coverage probability and spectral efficiency (SE) in the presence of fluctuations of 3D antenna beamwidth. Within this analytical framework, the macro base stations (MBSs) are meticulously characterized through the application of an independent 2D homogeneous Poisson point process (PPP), while the low-altitude platforms (LAPs) are described using an independent 3D PPP. The study entails the derivation of association probabilities, determining the likelihood of the T-UE associating with MBSs, line-of-sight LAPs, and non-line-of-sight LAPs. Through rigorous mathematical analysis, the paper formulates precise analytical expressions that encapsulate the association and coverage probabilities, taking into account the inherent variability in the UAV antenna beamwidth. This research focuses on a thorough performance evaluation of the T-UE across diverse network configurations, encompassing LAP density, the transmission power of LAPs, and the critical signal-to-interference ratio threshold. The outcomes of this study distinctly underscore the substantial disruptive impact resulting from fluctuating beamwidth on the performance of the T-UE within the UAV-assisted cellular network. Additionally, this performance is further impacted by larger densities and transmission power of the LAP. Hence, it is imperative to take into account the influence of these fluctuations on network association, coverage, and SE whenever contemplating a UAV-assisted cellular network.

show abstract

Coverage probability of aerial heterogeneous networks disrupting dual connectivity in the Presence of Jammers

Arif

Kim

Haroon

2022

AEU - International Journal of Electronics and Communications

View full text Add to dashboard Cite

Dual Connectivity in Decoupled Aerial HetNets With Reverse Frequency Allocation and Clustered Jamming

Cited by 5 publications

References 45 publications

Interference Characterization in Cellular-Assisted Vehicular Communications With Jamming

Interference Characterization in Cellular-Assisted Vehicular Communications With Jamming

Analysis of Fluctuating Antenna Beamwidth in UAV-Assisted Cellular Networks

Coverage probability of aerial heterogeneous networks disrupting dual connectivity in the Presence of Jammers

Contact Info

Product

Resources

About