With the development of deep learning(DL),joint source-channel coding(JSCC)solutions for end-to-end transmission have gained a lot of *** deep JSCC schemes support dynamically adjusting the rate according to different...
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With the development of deep learning(DL),joint source-channel coding(JSCC)solutions for end-to-end transmission have gained a lot of *** deep JSCC schemes support dynamically adjusting the rate according to different channel conditions during transmission,enhancing robustness in dynamic wireless ***,most of the existing adaptive JSCC schemes only consider different channel conditions,ignoring the different feature importance in the image processing and *** uniform compression of different features in the image may result in the compromise of critical image details,particularly in low signal-to-noise ratio(SNR)*** address the above issues,in this paper,a dual attention mechanism is introduced and an SNR-adaptive deep JSCC mechanism with a convolutional block attention module(CBAM)is proposed,in which matrix operations are applied to features in spatial and channel dimensions *** proposed solution concatenates the pooling feature with the SNR level and passes it sequentially through the channel attention network and spatial attention network to obtain the importance evaluation *** show that the proposed solution outperforms other baseline schemes in terms of peak SNR(PSNR)and structural similarity(SSIM),particularly in low SNR scenarios or when dealing with complex image content.
Designing secure outsourcing schemes enables resource-constrained Internet of Things (IoT) devices to perform highly complex computational tasks. Solving the quadratic congruence problem is one of the core components ...
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Recent developments in the aerospace industry have led to a dramatic reduction in the manufacturing and launch costs of low Earth orbit *** new trend enables the paradigm shift of satelliteterrestrial integrated netwo...
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Recent developments in the aerospace industry have led to a dramatic reduction in the manufacturing and launch costs of low Earth orbit *** new trend enables the paradigm shift of satelliteterrestrial integrated networks with global *** particular,the integration of 5G communication systems and satellites has the potential to restructure nextgeneration mobile *** leveraging the network function virtualization and network slicing,the satellite 5G core networks will facilitate the coordination and management of network functions in satellite-terrestrial integrated *** are the first to deploy a 5G core network on a real-world satellite to investigate its *** conducted experiments to validate the satellite 5G core network *** validated procedures include registration and session setup *** results show that the satellite 5G core network can function normally and generate correct signaling.
Edge computing is extending the frontier of computation beyond terrestrial boundaries, with Low Earth Orbit (LEO) constellations emerging as the cutting-edge paradigm, aspiring to deliver ubiquitous computing capabili...
Neural Text-to-Speech (TTS) systems find broad applications in voice assistants, e-learning, and audiobook creation. The pursuit of modern models, like Diffusion Models (DMs), holds promise for achieving high-fidelity...
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The future vehicular networks (VNETs) are expected to provide high-quality communication service and high-accuracy sensing capability with low energy consumption. How-ever, the mobility of vehicles could cause serious...
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Segment Routing (SR) is a flexible and efficient source routing paradigm which allows traffic to be forwarded along any possible path in the network by using different segment identifiers (SIDs). Segment routing has n...
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ISBN:
(纸本)9788995004395
Segment Routing (SR) is a flexible and efficient source routing paradigm which allows traffic to be forwarded along any possible path in the network by using different segment identifiers (SIDs). Segment routing has no additional overhead in maintaining routing information at intermediate forwarding nodes, making it highly scalable and widely used in traffic engineering. However, current researches have some shortcomings in terms of network load balancing and completeness of supporting SR characteristics, which limit the optimization performance. In this paper, we designed a heuristic traffic engineering algorithm called SR-ELS, based on the two segments routing model (2-SR). The algorithm supports the adjacency segments and flexible source node traffic splitting strategy. Experimental results show that the algorithm has a near-optimal performance in reducing the maximum link utilization and excellent operational efficiency. Copyright 2023 KICS.
For the service composition under the multi-resource and multi-service constraints of the satellite network, without considering the problem that service quality and service priority lead to poor quality of service(Qo...
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3D hand reconstruction from RGB image has attracted a lot of attention due to its crucial role in human-computer interaction. Nevertheless, it is still challenging to perform 3D hand reconstruction under conditions of...
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In order to enhance collision detection efficiency when massive machine-type devices attempt access based on low earth orbiting (LEO) satellite scenario in 6G Non-Terrestrial Networks (NTN), an early collision detecti...
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