Dynamic RF Bearer Selection for Mobile Video
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Extending videoconferencing capabilities to mobile devices is challenging due to limitations in mobile wireless networks, including technology, device, and user mobility, as well as differences in bandwidth, latency, and quality of service, which hinder the delivery of high-quality video collaboration experiences comparable to fixed networks.
Innovation Solution
A method for dynamically assigning radio frequency resources in wireless networks using in-band signaling with RTCP primitives to adapt RF bearers based on real-time monitoring and feedback, ensuring optimal quality of service for video collaboration applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If videoconferencing is extended to mobile devices using wireless networks, then accessibility and mobility are improved, but bandwidth and quality of service deteriorate compared to wireline networks
Solution Approach 1:
The patent implements dynamic bearer selection that adapts RF bearers in real-time based on network conditions, video stream requirements, and quality of service parameters. The system continuously monitors bandwidth availability, latency, and packet loss, then dynamically adjusts bearer allocation to optimize video collaboration performance on mobile wireless networks
Solution Approach 2:
The system changes key network parameters including bearer bandwidth allocation, quality of service thresholds, and radio resource configuration based on real-time monitoring of network conditions and video stream characteristics. This allows the network to adapt bandwidth allocation dynamically rather than using fixed configurations
2Reliability
If dynamic bearer selection is implemented to improve video collaboration quality, then quality of service is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors video stream performance, network conditions, and quality of service metrics, then uses this feedback to automatically adjust bearer selection and configuration. The feedback loop includes monitoring bandwidth usage, packet loss rates, and video quality metrics to trigger bearer reconfiguration when thresholds are exceeded
Solution Approach 2:
The system performs self-service by automatically monitoring its own performance and making autonomous decisions about bearer selection and reconfiguration without requiring manual intervention. The network elements self-adjust RF bearers based on embedded quality of service parameters and real-time network conditions
3Adaptability or versatility
If RF bearers are dynamically adjusted to match changing network conditions, then adaptability is improved, but processing overhead and system complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple RF bearers with different quality of service characteristics before video collaboration begins. When video streams are initiated, the system has pre-established bearers ready for selection based on the specific requirements of each video stream, reducing the need for complex real-time bearer creation and adjustment
Data Source
AI summary
The disclosure relates to managing the video and audio streams of a video collaboration session in a communication network. Specifically, the streams of the video collaboration session are managed by primitive messages that are sent in-band with the data of the stream. These in-band primitives are then used to modify the wireless bearers or channels that are carrying the streams to a mobile device. The mechanism can dynamically adapt the wireless bearers based on the primitives to ensure characteristics such as Quality of Service and packet loss are within certain parameters while minimizing the resources used to provide the specified service.