QoE-Aware Efficient Content Distribution Scheme For Satellite-Terrestrial Networks
| Autor: | Shahid Mumtaz, Antonios Tsourdos, Feng Wang, Octavia A. Dobre, Dingde Jiang, Saba Al-Rubaye, Zhihan Lv |
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| Rok vydání: | 2023 |
| Předmět: |
Transmission delay
Computer Networks and Communications Computer science Node (networking) Real-time computing Approximation algorithm 020206 networking & telecommunications 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Quality of experience Cache Electrical and Electronic Engineering Selection algorithm Software Network model Block (data storage) |
| Zdroj: | IEEE Transactions on Mobile Computing. 22:443-458 |
| ISSN: | 2161-9875 1536-1233 |
| Popis: | The satellite-terrestrial networks (STN) utilize the spacious coverage and low transmission latency of Low Earth Orbit (LEO) constellation to distribute requested content for ground subscribers. With the development of storage and computing capacity of satellite onboard equipment, it is considered promising to leverage in-network caching technology on STN to improve content distribution efficiency. However, traditional ground network caching schemes are not suitable in STN, considering dynamic satellite propagation and time-varying topology. More specifically, the unevenness of user distribution results in difficulties for assurance of quality of experience. To address these problems, we firstly propose a density-based block division algorithm to divide the content subscribers into a series of blocks with different sizes according to user density. The LEO satellite orbit and time-varying network model is established to describe STN topology. Next, we propose an approximate minimum coverage vertex set algorithm and a novel cache node selection algorithm for optimal user blocks matching. The simulation results prove that the proposed density-based content distribution method can obviously reduce the average transmission delay of content distribution under different network conditions and has better stability and self-adaptability under continuous time variation. |
| Databáze: | OpenAIRE |
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