Distributed adaptive beam nulling to survive against jamming in 3D UAV mesh networks

Bhunia, Suman; Regis, Paulo Alexandre; Sengupta, Shamik

doi:10.1016/j.comnet.2018.03.011

Cited by 9 publications

(7 citation statements)

References 25 publications

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“…However, in [30], the authors adopt the beam-nulling technique, where an extra null in a certain direction (in our case this would be the direction of interfering with the following NFPs) is introduced to the radiation pattern, by employing beamforming. Beam-nulling, by design, tries to maintain the main-lobe characteristics as close as possible to the original beam pattern; hence, when applied to our configuration, it reduces the inter-NFP interference while maintaining the desired signal almost as is [31]. Therefore, our results in this work, without using beamnulling, can be considered a lower bound on the performance of a similar configuration that utilizes beam-nulling.…”

Section: Volume mentioning

confidence: 95%

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Long-Haul mmWave Sky Links: A Multi-Hop NFP-Based Design and Analysis

Almohamad

Dabiri

Hasna

et al. 2023

IEEE Open J. Veh. Technol.

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Networked flying platforms (NFPs) have emerged as a favorable solution to extend the network coverage and/or capacity in temporary scenarios, such as disasters or mega-size events, thanks to their flexibility and cost efficiency. However, in order to provide a reliable multihop link through NFPs, multiple parameters should be considered and optimized, such as the antenna gains, and the number of NFPs required to achieve a certain level of quality of service (QoS). Furthermore, the design of such parameters when considering the hovering fluctuation of NFPs becomes more challenging. In this paper, we study the performance of a long millimeter wave (mmWave) link through multiple NFPs to connect a remote area with the core network taking into account the fluctuation of NFPs. In specific, we derive the outage probability (OP) for such a system under practical considerations, such as NFP fluctuation variance, realistic 3D radiation patterns, gaseous absorption losses, number and distribution of NFPs. Furthermore, we propose a spatial formation for NFPs to reduce interference along the path. Extensive simulations are provided to validate the analytical findings and to reveal insightful trade-offs that help in designing such links.INDEX TERMS Antenna pattern, backhaul/frounthaul links, mmWave communication, networked flying platforms (NFPs), positioning, unmanned aerial vehicles (UAVs).

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Section: Volume mentioning

confidence: 95%

“…Since we have θ ′ ry,i,k = θ ry,i,i−1 + θ pu , and by using ( 23) and (25), Eq. ( 29) can be rewritten as (31). In (31), the parameter θ ′ pu = tan −1 Lu2 3Lu1 is the…”

Section: Appendix Amentioning

confidence: 99%

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Long-Haul mmWave Sky Links: A Multi-Hop NFP-Based Design and Analysis

Almohamad

Dabiri

Hasna

et al. 2023

IEEE Open J. Veh. Technol.

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“…Moreover, the UAV-to-ground channel characteristics, which provide high LoS communications make UAV-BSs the most appropriate candidates to employ 3D beamforming [90]. It is worthy to note that 3D beamforming is receiving an outstanding interest in classical cellular networks [91]. This is because it is possible to find two GUs with different elevation angles, thus making 3D beamforming more effective for such kind of networks.…”

Section: F 3d Beamformingmentioning

confidence: 99%

UAV assistance paradigm: State-of-the-art in applications and challenges

Alzahrani

Oubbati

Barnawi

et al. 2020

Journal of Network and Computer Applications

301

128

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Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to be used in industries and various sectors of human life to provide a wide range of applications and services. During the last decade, there has been a growing focus of research in the UAV's assistance paradigm as a fundamental concept resulting in the constant improvement between different kinds of ground networks and the hovering UAVs in the sky. Recently, the wide availability of embedded wireless interfaces in the communicating entities has allowed the deployment of such a paradigm simpler and easiest. Moreover, due to UAVs' controlled mobility and adjustable altitudes, they can be considered as the most appropriate candidate to enhance the performance and overcome the restrictions of ground networks. This comprehensive survey both studies and summarizes the existing UAV-assisted research, such as routing, data gathering, cellular communications, Internet of Things (IoT) networks, and disaster management that supports existing enabling technologies. Descriptions, classifications, and comparative studies related to different UAV-assisted proposals are presented throughout the paper. By pointing out numerous future challenges, it is expected to simulate research in this emerging and hot research area. To the best of our knowledge, there are many survey papers on the topic from a technology perspective. Nevertheless, this survey can be considered as the first attempt at a comprehensive analysis of different types of existing UAV-assisted networks and describes the state-of-the-art in UAV-assisted research.

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“…The mechanism performs periodic measurements of the radio frequency environment to detect the direction of arrival (DoA) of jamming signals and then suppresses the signals. In [31], distributed adaptive beam nulling was proposed to survive against jamming attack in the 3D UAV mesh networks by spatially filtering out signals coming from a certain direction. The potentials of optimal deployment and path planning have been discussed in [32] to address inter-cell interference and obstacle-awareness.…”

Section: Spatial Retreatmentioning

confidence: 99%

AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET

et al. 2020

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The flying ad-hoc network (FANET) is a decentralized communication network for the unmanned aerial vehicles (UAVs). Because of the wireless nature and the unique network properties, FANET remains vulnerable to jamming attack with additional challenges. First, a decision from a centralized knowledge base is unsuitable because of the communication and power constraints in FANET. Second, the high mobility and the low density of the UAVs in FANET require constant adaptation to newly explored spatial environments containing unbalanced data; rendering a distributed jamming detection mechanism inadequate. Third, taking model-based jamming defense actions in a newly explored environment, without a precise estimation of the transitional probabilities, is challenging. Therefore, we propose an adaptive federated reinforcement learning-based jamming attack defense strategy. We developed a model-free Q-learning mechanism with an adaptive exploration-exploitation epsilon-greedy policy, directed by an ondevice federated jamming detection mechanism. The simulation results revealed that the proposed adaptive federated reinforcement learning-based defense strategy outperformed the baseline methods by significantly reducing the number of en route jammer location hop counts. The results also showed that the average accuracy of the federated jamming detection mechanism, leveraged in the defense strategy, was 39.9% higher than that of the distributed mechanism verified with the standard CRAWDAD jamming attack dataset and the ns-3 simulated FANET jamming attack dataset.

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Distributed adaptive beam nulling to survive against jamming in 3D UAV mesh networks

Cited by 9 publications

References 25 publications

Long-Haul mmWave Sky Links: A Multi-Hop NFP-Based Design and Analysis

Long-Haul mmWave Sky Links: A Multi-Hop NFP-Based Design and Analysis

UAV assistance paradigm: State-of-the-art in applications and challenges

AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET

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