Joint association and power optimization for multi-UAV assisted cooperative transmission in marine IoT networks

Lyu, Ling; Chu, Zhenhang; Lin, Bin

doi:10.1007/s12083-021-01129-y

Cited by 7 publications

(3 citation statements)

References 31 publications

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“…To this end, the works in [91] and [81] propose an architectural approach where UAVs are used as relay nodes between SNs and TBSs. NOMA in [77] OMA in [85] OMA in [86] OMA equal power Fig. 5.…”

Section: Network Lifetime Maximizationmentioning

confidence: 98%

“…Extensive system-level simulations were performed indicating that the relay-assisted approach can significantly improve link quality with respect to the standard vessel-BS connection. In [85], the authors investigate a multi-UAV assisted cooperative transmission to maximize the total throughput under the constraints of outage probability, transmit power and available channels. To this end, a heuristic algorithm is employed to solve the optimization problem.…”

Section: A Cooperative Uav Data Relayingmentioning

confidence: 99%

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A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Νομικός

Gkonis

Bithas

et al. 2023

IEEE Open J. Commun. Soc.

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Maritime activities represent a major domain of economic growth with several emerging maritime Internet of Things use cases, such as smart ports, autonomous navigation, and ocean monitoring systems. The major enabler for this exciting ecosystem is the provision of broadband, low-delay, and reliable wireless coverage to the ever-increasing number of vessels, buoys, platforms, sensors, and actuators. Towards this end, the integration of unmanned aerial vehicles (UAVs) in maritime communications introduces an aerial dimension to wireless connectivity going above and beyond current deployments, which are mainly relying on shore-based base stations with limited coverage and satellite links with high latency. Considering the potential of UAV-aided wireless communications, this survey presents the state-of-the-art in UAV-aided maritime communications, which, in general, are based on both conventional optimization and machine-learning-aided approaches. More specifically, relevant UAV-based network architectures are discussed together with the role of their building blocks. Then, physical-layer, resource management, and cloud/edge computing and caching UAV-aided solutions in maritime environments are discussed and grouped based on their performance targets. Moreover, as UAVs are characterized by flexible deployment with high re-positioning capabilities, studies on UAV trajectory optimization for maritime applications are thoroughly discussed. In addition, aiming at shedding light on the current status of real-world deployments, experimental studies on UAV-aided maritime communications are presented and implementation details are given. Finally, several important open issues in the area of UAV-aided maritime communications are given, related to the integration of sixth generation (6G) advancements. These future challenges include physical-layer aspects, non-orthogonal multiple access schemes, radical learning paradigms for swarms of UAVs and unmanned surface and underwater vehicles, as well as UAV-aided edge computing and caching.

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Section: Network Lifetime Maximizationmentioning

confidence: 98%

Section: A Cooperative Uav Data Relayingmentioning

confidence: 99%

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Νομικός

Gkonis

Bithas

et al. 2023

IEEE Open J. Commun. Soc.

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“…The fog problem 44 is formulated as section II based on the concepts of the ruin theory. Accordingly, () is separated for every

j\varepsilon U

and the ruin probability is then considered in the goal function for every UAV

u

.…”

Section: Ruin‐based Approach For Cell Association and Resource Optimi...mentioning

confidence: 99%

A novel approach to QoS‐aware resource allocation in NOMA cellular HetNets using multi‐layer optimization

Mirzaei

2022

Concurrency and Computation

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The dense deployment of small cells is a key feature of the next-generation cellular networks aimed at providing the necessary capacity increase. But in such networks the problem of green networking will be of great importance, because the uncontrolled installation of too many cells may increase operational costs and emit more carbon dioxide. Nowadays, unmanned aerial vehicles (UAVs) offer an efficient approach to improve the quality, data rate, and meet the demanding performance requirements of applications in ultra-dense cellular networks. This article proposes a dynamic optimization model which minimizes the overall energy consumption of UAV cellular networks in addition to guarantying the essential coverage and capacity. The proposed model optimizes user association and power utility to meet users' QoS requirements with the highest level of energy efficiency (EE). For this purpose, the surplus energy pattern of UAVs is first mathematically formulated and then applied to calculate its ruin probability. In fact, the ruin probability denotes the vulnerability of a UAV when it runs out of energy. The ruin probability is used in the next step to efficiently connect every user to the UAVs. Also, power allocation is implemented for the applications to achieve the optimal value of the accessible network's data rate through the water-filling method. This model also performs coded routing in the multi-hop backhauls to efficiently use the existing infrastructure of the cooperative networks for coding dual-hop transmissions. The simulation results exhibit considerable network throughput and EE increase by 42% and 30%, respectively, for the proposed ruin-based energy-efficient approach in comparison with the conventional signal-to-interference/noise ratio-based schemes.

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Research on Security Monitoring System of Smart Substation Based on Internet of Things Technology

Chen¹,

Chen²,

Shi³

et al. 2021

2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)

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Joint association and power optimization for multi-UAV assisted cooperative transmission in marine IoT networks

Cited by 7 publications

References 31 publications

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

A novel approach to QoS‐aware resource allocation in NOMA cellular HetNets using multi‐layer optimization

Research on Security Monitoring System of Smart Substation Based on Internet of Things Technology

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