Handover Procedure Design and Performance Optimization Strategy in LEO-HAP System

Li, Kailun; Li, Yitao; Qiu, Zhenkun; Wang, Qi; Lu, Junqi; Zhou, Wuyang

doi:10.1109/wcsp.2019.8927845

Cited by 13 publications

(5 citation statements)

References 12 publications

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“…Kalman Filtering (KF) KF, first introduced in [59], is an estimation method that uses a series of measurements observed over time and estimates the unknown variables within the system by estimating a joint probability distribution over the known variables for each time frame. It requires a dynamical system model represented by two equations: a state Equation ( 39) and an observation Equation (40).…”

Section: Applicable Optimization Methods For User Segmentmentioning

confidence: 99%

“…The frequency at which the handovers happen changes dynamically as the vehicle moves, and it can highly affect the latency, throughput, and accuracy targets, especially in high-speed motion scenarios with opposite directions with respect to the satellite's movement. Again, this remains a limitation that is being investigated to various degrees by academia in studies such as [40,42].…”

Section: High-speed Scenarios Based On Leo Satellites For Future Auto...mentioning

confidence: 99%

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Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Çelikbilek

Saleem

Ferre

et al. 2022

Sensors

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Future autonomous transportation is one of the most demanding application areas in terms of connectivity, as it has to simultaneously meet stringent criteria that do not typically go hand in hand, such as high throughput, low latency, high coverage/availability, high positioning and sensing accuracies, high security and robustness to interferences, etc. In order to meet the future demands of challenging applications, such as applications relying on autonomous vehicles, terrestrial networks are no longer sufficient and are to be augmented in the future with satellite-based networks. Among the emerging satellite networks, Low Earth Orbit (LEO) networks are able to provide advantages over traditional Medium Earth Orbit (MEO) and Geo-Stationary Earth Orbit (GEO) networks in terms of signal latency, cost, and performance. Nevertheless, several challenges exist in LEO system design, which have not been fully addressed in the existing literature. In particular, the problem of LEO-system optimization of design parameters is a multi-dimensional problem with many aspects to be considered. This paper offers a comprehensive survey of the LEO-system design parameters, of the challenges in LEO system design process, and of the optimization methods for satellite communication, positioning, and sensing applications, as well as a summarizing discussion on the design considerations for LEO-based networks to support future autonomous transportation.

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Section: Applicable Optimization Methods For User Segmentmentioning

confidence: 99%

Section: High-speed Scenarios Based On Leo Satellites For Future Auto...mentioning

confidence: 99%

Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Çelikbilek

Saleem

Ferre

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…This method is effective in reducing ping-pongs for ground users but not for UAVs. [37] proposes a design with different HO procedures suitable for LEO-HAP system based on 5G protocol and analyse the performance on delay and signalling cost. They employ a dynamic HO strategy to optimize the HO moment and resource allocation.…”

Section: Background and Related Workmentioning

confidence: 99%

Future 6G Communications Powering Vertical Handover in Non-Terrestrial Networks

Warrier,

Aljaburi,

Whitworth

et al. 2024

IEEE Access

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The integration of Unmanned Aerial Vehicles (UAVs) into future 6G networks will open new possibilities for applications ranging from surveillance to communication infrastructure maintenance, precision agriculture, and surveying. However, ensuring uninterrupted connectivity for UAVs operating in remote or dynamic environments remains a significant challenge. This paper presents a novel approach to achieving seamless handover for UAVs when transitioning between terrestrial and satellite communication networks. The proposed method in this paper, leverages graph theory and develop a decision-making algorithm to optimise handover decisions, minimizing latency, improving performance, and reducing service disruption. It establishes a comprehensive graph model that represents the dynamic topology of available network nodes, including terrestrial base stations and low earth orbit (LEO) satellites, which adapts in real-time to changes in UAV position and network conditions. The approach incorporates a decision-making algorithm that considers several factors, such as received signal strength (RSS), signal-to-noise ratio (SNR), and elevation angle, to determine the optimal time and location for a handover between terrestrial base stations and satellite links. This ensures a seamless transition between communication links, minimizing service disruption. The performance of this method is evaluated through extensive simulations and comparison with existing solutions demonstrating significant improvements in RSS, SNR, throughput, latency, ping-pongs and enhanced overall UAV connectivity. The proposed graph methodbased seamless handover solution represents a crucial advancement in enabling reliable and uninterrupted communication for UAVs operating in remote and challenging environments. By managing handovers between terrestrial and satellite networks, this research contributes to the realisation of the full potential of UAVs in emerging applications, thereby advancing the state-of-the-art in UAV technology.INDEX TERMS 6G, vertical handover, satellite, graph method, non-terrestrial networks (NTN) I. INTRODUCTION

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“…An intelligent scheme based on an adaptive neurofuzzy inference system with RSS, user distance and velocity as well as the available channels in the cells of both layers as inputs is proposed in [199]. Handover between HAPs and low earth orbit (LEO) satellites has also been studied in [200]. The authors propose a scheme where MTs estimate their location and time, report same to either LEO or HAP.…”

Section: B Handovermentioning

confidence: 99%

A review of wireless communication using high-altitude platforms for extended coverage and capacity

Arum

Grace

Mitchell

2020

Computer Communications

106

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This paper provides an up-to-date review of wireless communications service provisioning in rural or remote areas from High-Altitude Platforms (HAPs) exploiting cellular radio spectrum. With the recent International Telecommunication Union (ITU) report showing that as much as 74% of the population in Africa, most of which are living in rural areas, do not have access to broadband, this paper focuses on the potential of using HAPs as an alternative to terrestrial systems for wireless communication in rural communities. Considering the typically low user densities in rural areas and the importance of HAP coverage maximization while ensuring harmless coexistence with terrestrial systems in rural areas, this paper explores extending the achievable wireless coverage from a HAP. This takes into consideration the coexistence of a HAP with terrestrial systems using intelligent techniques to dynamically manage radio resources and mitigate interference. Studies have shown that efficient intelligent radio resource and topology management can minimize inter-system interference and ensure coexistence with improved system performance. Potential techniques for coverage extension such as exploiting the spatial characteristics of array antennas, radio environment maps (REMs) and deviceto-device (D2D) communications are discussed. Generally, this paper presents a comprehensive review of significant HAP related studies and their outcomes.

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Handover Procedure Design and Performance Optimization Strategy in LEO-HAP System

Cited by 13 publications

References 12 publications

Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation

Future 6G Communications Powering Vertical Handover in Non-Terrestrial Networks

A review of wireless communication using high-altitude platforms for extended coverage and capacity

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