Results 11 to 20 of about 3,066 (281)
Social-Aware Edge Caching in Fog Radio Access Networks
IEEE Access, 2017 Fog radio access networks (F-RANs) are becoming an emerging and promising paradigm for fifth generation cellular communication systems. In F-RANs, distributed edge caching techniques among remote radio heads (RRHs) and user equipment (UE) can effectively
Xiang Wang, Supeng Leng, Kun Yang
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Federated Edge Intelligence and Edge Caching Mechanisms
Information, 2023 Federated learning (FL) has emerged as a promising technique for preserving user privacy and ensuring data security in distributed machine learning contexts, particularly in edge intelligence and edge caching applications. Recognizing the prevalent challenges of imbalanced and noisy data impacting scalability and resilience, our study introduces two ...
Aristeidis Karras +5 more
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Energy-efficient proactive edge caching with sleep scheduling for green networks
EURASIP Journal on Wireless Communications and Networking, 2018 Proactive content caching in small cells (SCs) (i.e., proactive edge caching) can significantly reduce energy consumption of networks. However, the sleep mode of SCs can make the cached contents in SCs unavailable. Therefore, a joint optimization of edge
Haneul Ko, Jaewook Lee, Sangheon Pack
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Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking, 2018 In recent content delivery mechanisms, popular contents tend to be placed closer to the users for better delivery performance and lower network resource occupation. Caching mechanisms in Content Delivery Networks (CDN), Mobile Edge Clouds (MECs) and fog computing have implemented edge caching paradigm for different application scenarios. However, state-
Yining Hua +2 more
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Journal of Cloud Computing: Advances, Systems and Applications, 2023 Deep Learning-based edge caching networks can accurately infer what to cache based on a user's historical content requests, thereby significantly relieving the burden of the backbone networks. However, the cold-start problem inherent in deep learning may
Aijing Sun, Guoqing Wang, Qi Han
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IEEE Open Journal of the Communications SocietyIndustry 5.0 is transforming edge caching from a passive traffic offloading mechanism into an active enabler of distributed intelligence and real-time analytics.
Ritabrata Maiti +2 more
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Caching at the Edge with LT Codes [PDF]
2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018 We study the performance of caching schemes based on LT under peeling (iterative) decoding algorithm. We assume that users ask for downloading content to multiple cache-aided transmitters. Transmitters are connected through a backhaul link to a master node while no direct link exists between users and the master node.
Recayte, Estefania +2 more
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On edge caching with secrecy constraints [PDF]
2016 IEEE International Conference on Communications (ICC), 2016 to appear in ICC ...
Frederic Gabry +2 more
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Delay-aware distributed program caching for IoT-edge networks
PLoS ONE, 2022 Edge computing is a novel network architecture that is in proximity to the end devices in an Internet of Things (IoT). As the IoT becoming a major factor in our daily life, provisioning a low response time of the services to IoT users through edge ...
Chang Kyung Kim +5 more
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Caching at the Edge with Fountain Codes [PDF]
2018 9th Advanced Satellite Multimedia Systems Conference and the 15th Signal Processing for Space Communications Workshop (ASMS/SPSC), 2018 We address the use of linear randon fountain codes caching schemes in a heterogeneous satellite network. We consider a system composed of multiple hubs and a geostationary Earth orbit satellite. Coded content is memorized in hubs' caches in order to serve immediately the user requests and reduce the usage of the satellite backhaul link.
Recayte, Estefania +2 more
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