Method and device for maximizing QoE of multi-antenna UAV video transmission system

By adopting zero-force beamforming and channel model optimization technology in the multi-antenna drone video streaming system, combined with the optimization of drone trajectory and transmission scheduling, the bandwidth fluctuations in video streaming and QoE problems in multi-user scenarios are solved, and high-quality and smooth video streaming is achieved.

CN114980205BActive Publication Date: 2025-03-28SOUTHWEST UNIV
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Patent Information

Application Number
CN202210563216.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-05-19
Publication Date
2025-03-28
Estimated Expiration
2042-05-19

AI Technical Summary

Technical Problem

The existing multi-antenna drone video streaming system cannot effectively ensure the high quality and smoothness of video streams, especially in bandwidth fluctuations and multi-user scenarios, resulting in poor user experience (QoE).

Method used

By building a multi-antenna drone video streaming architecture, zero-force beamforming (ZF)-based technology is used to eliminate interference between ground users and build a channel model to optimize video streaming. At the same time, the mathematical optimization model is used, combining drone trajectory optimization, multi-antenna transmission scheduling and video playback rate allocation to maximize the QoE minimum value of all users.

Benefits of technology

It effectively improves the quality and fluency of video streams, reduces video playback jitter, ensures fairness among different ground users, and significantly improves the user experience quality.

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Abstract

This application relates to a method and apparatus for maximizing the QoE of a multi-antenna UAV video transmission system. It constructs a multi-antenna UAV video stream transmission architecture and employs ZF-based beamforming to eliminate interference between multiple ground users, while simultaneously providing video services to multiple ground users. By jointly optimizing the UAV trajectory, multi-antenna transmission scheduling, and playback rate allocation, it maximizes the minimum QoE for all ground users. Based on the optimized UAV trajectory, multi-antenna transmission scheduling, and video playback rate allocation, and according to the model for maximizing the minimum QoE for all users, a mathematical optimization model P1 and its constraints are determined. This application transforms the mathematical optimization model, which is difficult to obtain a globally optimal solution, into an equivalent form with a penalty term. A double-loop algorithm based on Penalty Block Coordinate Descent (P-BCD) is used to process the transformed optimization model to obtain a suboptimal solution. This suboptimal solution can be obtained in just a few iterations, exhibiting good convergence and low complexity.
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