Towards a UAV-centric Content Caching Architecture for Communication-challenged Environments

Bhuyan, Amit Kumar; Dutta, Hrishikesh; Biswas, Subir

doi:10.1109/globecom48099.2022.10001616

Cited by 3 publications

(5 citation statements)

References 6 publications

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Section: A Literature Reviewmentioning

confidence: 99%

“…UAVs are employed for content caching in wireless communication systems [18]- [34]. In [18]- [22], the authors investigate content placement problem under the assumption that the UAVs have been deployed at static positions. The authors in [18] design a content caching algorithm based on users' content preferences to maximize content availabil-ity.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…In [18]- [22], the authors investigate content placement problem under the assumption that the UAVs have been deployed at static positions. The authors in [18] design a content caching algorithm based on users' content preferences to maximize content availabil-ity. Research works in [19], [20] propose popularity-based caching schemes to alleviate wireless backhaul load, improve successful content delivery ratio, and reduce energy consumption.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…While the authors in [18]- [22] propose content placement strategies to maximize content availability, improve successful content delivery and reduce energy consumption, they fail to consider UAV deployment strategy. As a matter of fact, it can be demonstrated that caching efficiency can be enhanced by jointly designing UAV deployment and content caching strategies [23]- [28].…”

Section: A Literature Reviewmentioning

confidence: 99%

“…Proactive caching in UAV-enabled networks has been exploited in previous research works [23]- [34]. Yet, the existing works mainly assume that the content request of users is perfectly known [18]- [20], which may not be practical since user requests may vary over time and can be highly diverse. Hence, designing proactive caching strategy with unknown user requests becomes particularly important.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

See 4 more Smart Citations

Content Fetching Delay Optimization-Based Caching and Resource Allocation for UAV-Enabled Networks

Bayessa,

Chai,

Liang

et al. 2024

IEEE Access

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In this work, we investigate content caching problem in unmanned aerial vehicle (UAV)enabled networks where UAVs are allowed to store user requested content so as to enhance the content transmission performance of users. To predict user content request, we propose a bidirectional long shortterm memory-based algorithm. Then, the content transmission delay of users is examined and the UAV deployment, content caching and resource allocation problem is formulated as an overall content fetching delay minimization problem. As the formulated problem is difficult to solve, we transform it into two subproblems which are solved iteratively. To tackle the UAV deployment and content caching subproblem, we first design a modified K-means-based clustering scheme and then propose a UAV deployment strategy by using quadratic transformation. To solve subcarrier and power allocation subproblem, we apply Lagrangian dual method to determine power allocation strategy and propose a Kuhn-Munkres algorithm-based subcarrier allocation strategy. Simulation results show that our approach achieves approximately 11.1% lower overall content fetching delay compared to the existing algorithm.INDEX TERMS Unmanned aerial vehicles, user clustering, UAV deployment, content caching, resource allocation.

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