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Multi-UAV Content Caching Strategy and Cooperative, Complementary Content Transmission Based on Coalition Formation
Yanzan Sun1, Xinlin Zhong1, Fan Wu2
1Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China.
This study introduces a multi-unmanned aerial vehicle (UAV) strategy for content caching and transmission in wireless networks. It enhances network performance by optimizing UAV cooperation and content delivery to users.
Area of Science:
- Wireless Communication Networks
- Content Caching
- Network Optimization
Background:
- Increasing demand for video and picture content strains wireless networks.
- Unmanned Aerial Vehicle (UAV)-aided small cells offer a solution for backhaul alleviation and flexible coverage.
- Limitations in UAV battery life and caching capacity necessitate advanced strategies.
Purpose of the Study:
- To develop a joint multi-UAV content-caching and cooperative transmission strategy.
- To address the challenges posed by limited UAV resources.
- To maximize overall network utility through efficient content delivery.
Main Methods:
- User clustering based on content preference and location similarity.
- Modeling cooperative, complementary content transmission as a coalition formation game (CFG).
- Developing algorithms for multi-UAV content caching and transmission.
Main Results:
- A user-clustering-based caching strategy was designed.
- A coalition formation game (CFG) was used to model cooperative transmission.
- Numerical simulations demonstrated the effectiveness of the proposed algorithms.
Conclusions:
- The proposed multi-UAV strategy effectively manages content caching and transmission.
- Cooperative strategies enhance network performance and user experience.
- The approach provides a viable solution for content delivery challenges in wireless networks.
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