Deep Learning-Enabled File Popularity-Aware Caching Replacement for Satellite-Integrated Content-Centric Networks

Liu, Luyao; Li, Yue; Xu, Yunlai; Zhang, Qin Yu; Yang, Zhihua

doi:10.1109/taes.2022.3163659

Cited by 5 publications

(4 citation statements)

References 41 publications

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“…Then, satellite-terrestrial networks with inter-satellite communication are further investigated for cooperative caching, where a cooperative multi-layer edge caching approach for base stations, satellites, and gateways is proposed to minimize the content service delay of users [43], and a simple yet effective cooperative content retrieval scheme is studied to reduce the traffic load [44]. Moreover, a content popularity-aware caching placement approach is discussed to improve the cache hit-rate and content service delay [45]. Note that the joint optimization problems of data routing, network bandwidth, and storage resources are not fully considered.…”

Section: Cooperative Caching In Satellite-terrestrial Networkmentioning

confidence: 99%

Cooperative Caching and Resource Allocation in Integrated Satellite–Terrestrial Networks

Gao,

Shao,

Wang

et al. 2024

Electronics

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Due to the rapid development of low earth orbit satellite constellations, e.g., Starlink, OneWeb, etc., integrated satellite-terrestrial networks have been viewed as a promising paradigm to globally provide satellite internet services for users. However, when the contents from ground data centers are provided for users by satellite networks, there will be high capital expenditures in terms of communication delay and bandwidth usage. To this end, in this paper, a cooperative-caching and resource-allocation problem is investigated in integrated satellite–terrestrial networks. Popular contents, which are cached on satellites and ground data centers, can be accessed via inter-satellite and satellite–terrestrial networks in a cooperative way. The optimization problem is formulated to jointly minimize the deployment costs of storage resource usage and network bandwidth consumption. A cooperative caching and resource allocation (CCRA) algorithm based on a neighborhood search is proposed to address the problem. The simulation results demonstrate that the proposed CCRA algorithm outperforms Greedy and BFS in reducing the deployment costs.

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Section: Cooperative Caching In Satellite-terrestrial Networkmentioning

confidence: 99%

Cooperative Caching and Resource Allocation in Integrated Satellite–Terrestrial Networks

Gao,

Shao,

Wang

et al. 2024

Electronics

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“…• The deep learning-enabled algorithm adopted in [28] is referred to as the DeepHawkes algorithm. Since Deep-Hawkes requires offline training, we collected the requests in 100000 time slots to train the DeepHawkes algorithm.…”

Section: A Simulation Setupmentioning

confidence: 99%

“…By exploiting the popular Stackelberg game, a load balancing scheme was proposed, while a popularity matching algorithm was conceived for caching aided resource allocation. By dividing the satellite-integrated content-centric network into different regions in conjunction with virtual locations, the authors of [28] exploited a so-called DeepHawkes framework to predict the popularity of files and proposed a delay minimization caching replacement algorithm. The cache placement and content delivery strategies of SGINs were jointly optimized in [29] for minimizing the delivery delay, while deep Qlearning was leveraged to learn the optimal policies.…”

Section: Introductionmentioning

confidence: 99%

“…However, the popularity of mapping contents may vary in different network coverage scenarios and the time-varying satellite coverage makes it difficult to estimate the content popularity in a timely manner. Moreover, the existing deep-learning based popularity estimating algorithms [26], [28], [29] are difficult to implement in location management, since long training time is required for a large number of content items.…”

Section: Introductionmentioning

confidence: 99%

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Sparse Bandit Learning Based Location Management for Space-Ground Integrated Networks

Qin

Chen

et al. 2023

IEEE Trans. Veh. Technol.

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The Space-Ground Integrated Network (SGIN) concept constitutes a promising solution for providing seamless global coverage. However, the mobility of satellites and wireless terminals imposes unprecedented challenges on the location management in SGIN. We tackle this challenge by conceiving a split identifier (ID) and Network Address (NA) based design for providing natural mobility support, and characterize the ID-NA mapping allocation problem by exploiting the storage capacity of both Geostationary Earth Orbit Satellites (GEOSs) and Low Earth Orbiting Satellites (LEOSs) to form a spatially distributed binding resolution system and optimize the caching reward in each LEOS. By considering the large quantity of ID-NA mapping and the sparsity of popular mapping having positive mean caching rewards, we formulate the mapping allocation problem as a sparse Multi-Armed Bandit (MAB) learning procedure, where the mappings are treated as the arms and the LEOSs act as the players. A distributed learning algorithm, namely the Sparse Upper confidence bound based Learning aided Caching algorithm (SULC), is proposed for estimating the mean caching rewards of mappings and selecting the optimal mappings for caching. Moreover, we derive a sub-linear upper bound of the cumulative learning regret to prove the learning efficiency of the proposed SULC. Extensive simulations have been conducted to show that the proposed SULC can quickly identify the popular mappings and provide near-optimal content hit rates. In contrast with the existing solutions, SULC has higher caching rewards and can significantly reduce the cumulative regret after a short period of learning.

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Content-Aware Proportional Caching for Efficient Data Delivery over Satellite Network

Zhang,

Yang,

Sang

et al. 2023

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

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Deep Learning-Enabled File Popularity-Aware Caching Replacement for Satellite-Integrated Content-Centric Networks

Cited by 5 publications

References 41 publications

Cooperative Caching and Resource Allocation in Integrated Satellite–Terrestrial Networks

Cooperative Caching and Resource Allocation in Integrated Satellite–Terrestrial Networks

Sparse Bandit Learning Based Location Management for Space-Ground Integrated Networks

Content-Aware Proportional Caching for Efficient Data Delivery over Satellite Network

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