Residential Gateway Channel Ranking for IPTV Zapping Latency
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Solution Overview
Problem
Multicast media transmission in IPTV networks faces bandwidth limitations and delays associated with channel changes, necessitating an improvement in channel changing times.
Innovation Solution
A method and system that utilize a residential gateway with a ranking engine to rank channel popularity based on viewing data, allowing for proactive request and pre-receiving of the most popular channels, thereby reducing channel changing time by minimizing network traffic and delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If channels are received on-demand through multicast networking, then network bandwidth is efficiently utilized, but channel changing time increases due to the time required to receive and process channel data
Solution Approach 1:
The system performs preliminary actions by receiving and buffering popular channel data in advance based on historical viewing patterns and popularity metrics. When a user requests a channel, the system checks whether the channel data is already buffered locally, eliminating the need for real-time network retrieval and thus reducing channel changing time while maintaining efficient bandwidth utilization.
2Loss of time
If all available channels are pre-received and buffered, then channel changing time is reduced, but network bandwidth consumption increases
Solution Approach 1:
The system applies local quality by differentiating channel buffering strategies based on their popularity characteristics. Popular channels are pre-buffered locally at the residential gateway, while less popular channels are retrieved on-demand. This selective approach reduces overall bandwidth consumption compared to buffering all channels, while still achieving fast channel switching for frequently accessed content.
Solution Approach 2:
The system dynamically adjusts the buffering parameter (number of channels to pre-receive) based on available storage capacity, network conditions, and observed viewing patterns. This adaptive parameter adjustment allows the system to optimize the balance between channel changing speed and bandwidth consumption according to current system state and user behavior.
Data Source
AI summary
A method and system for reducing channel changing time in multicast media, that can include the steps of receiving at least one of a plurality of available channels from a service provider at a residential gateway through a network, ranking the popularity of at least one of the available channels at a ranking engine connected to the residential gateway, and requesting to receive a number of the channels available from the service provider at the residential gateway based on the ranking. The rank is at least partly based on the data stored in the database.