Performance Analysis of Service Caching in Large-Scale UAV-Enabled Wireless Networks with Coupled Uplink and Downlink

In this paper, we investigate the service caching performance in a large-scale unmanned aerial vehicle (UAV)-enabled wireless network, in which multiple UAVs equipped with caching and computation capabilities are deployed to support multiple types of tasks generated by the terrestrial user equipment (UEs). We consider a practical-yet-challenging assumption where the uplink transmission for task offloading and the downlink transmission for results feedback are coupled, and derive analytical expressions of the successful transmission probability and successful service probability, demonstrating how they are determined by the UAV's density and operating height, as well as the service caching strategy. Through numerical results, we verify the correctness of our analysis and show that the SSP of our system can be significantly enhanced by optimizing the density and operating height of the UAVs.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10827270
Primary Topic
Caching and Content Delivery
Type
article
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article

Performance Analysis of Service Caching in Large-Scale UAV-Enabled Wireless Networks with Coupled Uplink and Downlink

Rui Ma, Mugen Peng, Howard H. Yang, Chenxi Liu
Caching and Content Delivery
article

Performance Analysis of Service Caching in Large-Scale UAV-Enabled Wireless Networks with Coupled Uplink and Downlink

Rui Ma, Mugen Peng, Howard H. Yang, Chenxi Liu
article en

Abstract

In this paper, we investigate the service caching performance in a large-scale unmanned aerial vehicle (UAV)-enabled wireless network, in which multiple UAVs equipped with caching and computation capabilities are deployed to support multiple types of tasks generated by the terrestrial user equipment (UEs). We consider a practical-yet-challenging assumption where the uplink transmission for task offloading and the downlink transmission for results feedback are coupled, and derive analytical expressions of the successful transmission probability and successful service probability, demonstrating how they are determined by the UAV's density and operating height, as well as the service caching strategy. Through numerical results, we verify the correctness of our analysis and show that the SSP of our system can be significantly enhanced by optimizing the density and operating height of the UAVs.

Beijing University of Posts and Telecommunications (CN), University of Illinois Urbana-Champaign (US), State Key Laboratory of Networking and Switching Technology, Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Caching and Content Delivery
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Performance Analysis of Service Caching in Large-Scale UAV-Enabled Wireless Networks with Coupled Uplink and Downlink — Rui Ma, Mugen Peng, et al. · (2024) | TGRS Research Map | TGRS