Integrating Routing Schemes and Platform Autonomy Algorithms for UAV Ad-hoc &amp; Infrastructure based networks

Anicho, Ogbonnaya; Charlesworth, Philip B.; Baicher, Gurvinder S; Nagar, Atulya K.

doi:10.1109/atnac.2018.8615237

Cited by 12 publications

(9 citation statements)

References 6 publications

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“…Irrespective of scalability, the implementation of IPLs influences the performance of routing schemes in the network. Therefore, it is necessary to use appropriate transmission technology to enhance routing performance [219]. A potentially more scalable topology-aware algorithm, which takes the position and speed of the platform provided by automatic dependent surveillance-broadcast (ADS-B) system into consideration is proposed in [220].…”

Section: Networkingmentioning

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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Section: Networkingmentioning

confidence: 99%

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

Arum

Grace

Mitchell

2020

Computer Communications

106

View full text Add to dashboard Cite

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“…Regardless, these types of UAV based networks are plagued by challenges of high mobility and frequent topology changes. These challenges ultimately make designing an appropriate routing protocol a very difficult task [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…Autonomous capabilities are highly desirable in UAVs and current research efforts all tend towards designing more autonomous vehicles. However, autonomy is not an absolute state, but calibrated in levels and often defined within the context of decision making or self governance in unmanned systems [5]. Autonomy can be viewed as a spectrum of capabilities ranging from zero autonomy to full autonomy e.g.…”

Section: Introductionmentioning

confidence: 99%

Situation Awareness and Routing Challenges in Unmanned HAPS/UAV based Communications Networks

Anicho

Charlesworth

Baicher

et al. 2020

2020 International Conference on Unmanned Aircraft Systems (ICUAS)

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This paper examines Situation Awareness (SA) as a factor in addressing routing challenges in HAPS/UAV based networks especially in multi-HAPS/UAV implementations. Routing in UAVbased networks is a critical element for successful transmission of data from source to destination node. However, in UAV based networks the concept of routing assumes a more challenging dimension mainly due to the mobility of the vehicles or platforms. This paper highlights how situation awareness can impact routing decisions and consequently improve network throughput. It is suggested that SA should be considered a factor in mitigating routing challenges in UAV based networks.

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“…The capacity to offer large footprints with signal latency similar to terrestrial systems further places it as a dominant aerial infrastructure. As an aerial platform, it can be easily recovered and redeployed to meet various operational scenarios, an additional capability that neither satellite nor terrestrial systems can offer effectively [5].…”

Section: Introductionmentioning

confidence: 99%

Reinforcement Learning for Multiple HAPS/UAV Coordination: Impact of Exploration–Exploitation Dilemma on Convergence

Anicho

Charlesworth

Baicher

et al. 2020

Advances in Intelligent Systems and Computing

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This work analyses the application of Reinforcement Learning (RL) for coordinating multiple Unmanned High Altitude Platform Stations (HAPS) or Unmanned Aerial Vehicles (UAVs) for providing communications area coverage to a community of fixed and mobile users. Multiple agent coordination techniques are essential for developing autonomous capabilities for multi-UAV/HAPS control and management. This paper examines the impact of exploration-exploitation dilemma on the application of RL for coordinating multiple UAVs/HAPS. In the work, it is observed that RL convergence is a challenge, as the RL algorithm struggles to find optimal positioning for maximum user coverage. This paper attempts to establish the source of the convergence issue with the RL technique for this specific application scenario. The work goes on to suggest methods to minimise this impact, and some insights for applying RL techniques for multi-agent coordination for communications area coverage.

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Integrating Routing Schemes and Platform Autonomy Algorithms for UAV Ad-hoc & Infrastructure based networks

Cited by 12 publications

References 6 publications

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

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

Situation Awareness and Routing Challenges in Unmanned HAPS/UAV based Communications Networks

Reinforcement Learning for Multiple HAPS/UAV Coordination: Impact of Exploration–Exploitation Dilemma on Convergence

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