Multiple Description Coding for Mobile Media Path Selection
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Solution Overview
Problem
In modern communication systems with hard-resource constraints, the separation between source coding and channel coding is not optimal, leading to challenges in maintaining high quality of service and experience due to limited mobile network resources and spatial-temporal coverage holes.
Innovation Solution
Implementing Multiple Description Coding (MDC) with machine learning and artificial intelligence to optimize the allocation and protection of source media content across different channels, utilizing the diversity of mobile communication network infrastructure, and employing techniques like carrier aggregation, beamforming, and dual-connectivity to enhance quality of service and experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Multiple Description Coding is implemented to transmit media content over different paths, then reliability is improved, but device complexity increases
Solution Approach 1:
The media content is segmented into multiple descriptions (first description and second description) that can be transmitted over different network paths. Each description contains sufficient information to reconstruct the content independently, ensuring reliability even if some paths fail.
Solution Approach 2:
Multiple descriptions are combined at the receiver side to reconstruct the media content. The system merges the first description transmitted over the first path with the second description transmitted over the second path to achieve high-quality reconstruction.
2Reliability
If multiple descriptions are transmitted over different paths, then reliability is improved, but loss of time increases due to multiple transmission paths
Solution Approach 1:
The media content is pre-processed into multiple descriptions before transmission, with each description optimized for independent reconstruction. This preliminary segmentation allows parallel transmission without requiring complex real-time switching or reconfiguration.
Solution Approach 2:
The system dynamically selects and activates descriptions based on real-time network conditions. If one path experiences delays or failures, the receiver can dynamically switch to using alternative descriptions without interrupting playback.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining media content from a media content source over a mobile communication network, determining that the media content comprises a first portion of the media content and a second portion of the media content, determining a first mobile network resource for communicating the first portion of the media content utilizing a machine learning and artificial intelligence application, and determining a second mobile network resource for communicating the second portion of the media content utilizing the machine learning and artificial intelligence application. Further embodiments can include providing the first portion of the media content to a communication device utilizing the first mobile network resource, and providing the second portion of the media content to the communications device utilizing the second mobile network resource. Other embodiments are disclosed.


