Secure routing and transmission scheme for space-ocean broadband wireless network

Fu, Yuzhou; Jiang, Chuanao; Qin, Yurong; Yin, Liuguo

doi:10.1007/s11432-018-9876-6

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Small satellite networks (SSNs) will be integrated into future Internet, which supply alternative data packet forwarding paths for users in terrestrial networks [5,6]. In detail, data packets from source ground users are transmitted to SSNs over ground-to-satellite links, forwarded in SSNs, and then sent back to destination ground users by satellite-to-ground links.…”

Section: Introductionmentioning

confidence: 99%

Routing in Small Satellite Networks: A GNN-based Learning Approach

Liu,

Li,

2021

Preprint

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Small satellite networks (SSNs), which are constructed by large number of small satellites in low earth orbits (LEO), are considered as promising ways to provide ubiquitous Internet access. To handle stochastic Internet traffic, on-board routing is necessary in SSNs. However, large-scale, high dynamic SSN topologies and limited resources make on-board routing in SSNs face great challenges. To address this issue, we turn to graph neural network (GNN), a deep learning network inherently designed for graph data, motivated by the fact that SSNs can be naturally modeled as graphs. By exploiting GNN's topology extraction capabilities, we propose a GNN-based learning routing approach (GLR) to achieve near-optimal on-board routing with low complexity. We design high-order and low-order feature extractor and cross process to deal with high dynamic topologies of SSNs, even those topologies that have never been seen in training. Simulation results demonstrate that GLR results in a significant reduction in routing computation cost while achieves near-optimal routing performance in SSNs with different scales compared with typical existing satellite routing algorithms.

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Section: Introductionmentioning

confidence: 99%

Routing in Small Satellite Networks: A GNN-based Learning Approach

Liu,

Li,

2021

Preprint

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“…As the mobile communications develop with great speed, higher system throughput and massive connectivity are needed for 5th-generation (5G) mobile communication systems [1]- [3]. To address these challenges, non-orthogonal multiple access (NOMA) is recognized as a potential technique [1].…”

Section: Introductionmentioning

confidence: 99%

QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems

Guo,

Lu,

Jiang

et al. 2021

Preprint

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In multi-cell non-orthogonal multiple access (NOMA) systems, designing an appropriate user grouping strategy is an open problem due to diverse quality of service (QoS) requirements and inter-cell interference. In this paper, we exploit both game theory and graph theory to study QoS-aware user grouping strategies, aiming at minimizing power consumption in downlink multi-cell NOMA systems. Under different QoS requirements, we derive the optimal successive interference cancellation (SIC) decoding order with inter-cell interference, which is different from existing SIC decoding order of increasing channel gains, and obtain the corresponding power allocation strategy. Based on this, the exact potential game model of the user grouping strategies adopted by multiple cells is formulated. We prove that, in this game, the problem for each player to find a grouping strategy can be converted into the problem of searching for specific negative loops in the graph composed of users. Bellman-Ford algorithm is expanded to find these negative loops. Furthermore, we design a greedy based suboptimal strategy to approach the optimal solution with polynomial time. Extensive simulations confirm the effectiveness of grouping users with consideration of QoS and inter-cell interference, and show that the proposed strategies can considerably reduce total power consumption comparing with reference strategies.

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“…Among them, multimedia devices with visual sensors, such as audio-visual cameras, high definition video cameras and camera arrays, play an important role in current IoT. As a result, the vigorous growth of the multimedia devices and massive multimedia contents generated by the devices has given rise to the emergence of several new concepts in IoT, such as Internet of Video Things (IoVT), Visual IoT, Multimedia IoT, which need a reliable transmission scheme for video uplinking [1]- [4]. Video uplinking can be used in plenty of applications, including real-time traffic/facility monitoring, damage assessment, disaster relief and so on.…”

Section: Introductionmentioning

confidence: 99%

QoS-Driven Video Uplinking in NOMA-Based IoT

Zhang

et al. 2021

Preprint

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In recent years, with the explosive growth of visual sensors and a large number of related video applications in Internet of Things (IoT), massive video data is generated by IoT devices. Since the volume of video data is far greater than traditional data in IoT, it is challenging to ensure high Quality of Service (QoS) for video uplinking in IoT. To address this challenge, we integrate non-orthogonal multiple access (NOMA) and scalable video coding (SVC) in IoT. To improve the video quality, we formulate a power allocation problem to maximize the average QoS in the proposed integrated system. Due to that the problem is non-convex, we transform it into a monotonic problem based on its hidden monotonicity. Then a power allocation algorithm based on polyblock outer approximation is proposed to solve the problem effectively. Finally, simulation results demonstrate that the proposed algorithm outperforms existing OMA and NOMA based schemes for video uplinking in IoT in terms of QoS and energy efficiency.

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Secure routing and transmission scheme for space-ocean broadband wireless network

Cited by 8 publications

References 5 publications

Routing in Small Satellite Networks: A GNN-based Learning Approach

Routing in Small Satellite Networks: A GNN-based Learning Approach

QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems

QoS-Driven Video Uplinking in NOMA-Based IoT

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