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Computer Science > Networking and Internet Architecture
Title: Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling
(Submitted on 2 Feb 2024 (v1), last revised 8 Feb 2024 (this version, v2))
Abstract: Extended reality (XR) is one of the most important applications of 5G. For real-time XR video transmission in 5G networks, a low latency and high data rate are required. In this paper, we propose a resource allocation scheme based on frame-priority scheduling to meet these requirements. The optimization problem is modelled as a frame-priority-based radio resource scheduling problem to improve transmission quality. We propose a scheduling framework based on multi-step Deep Q-network (MS-DQN) and design a neural network model based on convolutional neural network (CNN). Simulation results show that the scheduling framework based on frame-priority and MS-DQN can improve transmission quality by 49.9%-80.2%.
Submission history
From: Guangjin Pan [view email][v1] Fri, 2 Feb 2024 06:54:06 GMT (2984kb,D)
[v2] Thu, 8 Feb 2024 03:19:00 GMT (2984kb,D)
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