Broadcast Signal Transmission via Data Pipe Segmentation
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Solution Overview
Problem
Current digital broadcast systems face challenges in data transmission efficiency, robustness, and network flexibility, particularly in handling large amounts of data and ensuring reliable mobile reception.
Innovation Solution
The method involves encoding service data into multiple data transmission paths, building signal frames using OFDM, and transmitting these frames with a preamble containing signaling data, allowing for efficient modulation and decoding to manage Quality of Service (QoS) and multiplexing different broadcast services within the same RF signal bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If digital broadcast signals transmit large amounts of video/audio data and additional data, then service quality and functionality are improved, but data transmission efficiency and network robustness deteriorate
Solution Approach 1:
The patent segments data into multiple transport streams and further divides each transport stream into multiple data pipes. This segmentation allows parallel transmission of different service components (video, audio, subtitles, etc.) through separate data pipes, improving overall data transmission efficiency while maintaining the ability to handle large amounts of data simultaneously.
Solution Approach 2:
The patent introduces a multi-dimensional data organization structure with transport streams as the first dimension and data pipes as the second dimension. This dimensional expansion allows efficient management and transmission of large data volumes by organizing them hierarchically, where each data pipe can be independently optimized for specific service requirements.
2Adaptability or versatility
If digital broadcast signals include various types of additional data, then service functionality is improved, but data transmission efficiency deteriorates
Solution Approach 1:
Different service components (video, audio, subtitles, electronic program guides, etc.) are segmented into separate data pipes within transport streams. This allows each data pipe to be optimized for its specific service type, improving transmission efficiency for diverse data types while maintaining comprehensive service functionality.
Solution Approach 2:
Each data pipe is assigned specific quality characteristics and transmission parameters tailored to its service type. For example, video data pipes may use different encoding and error protection levels compared to audio or subtitle data pipes, optimizing transmission efficiency for each local service requirement.
3Manufacturing precision
If the system provides HD images and multi-channel audio, then service quality is improved, but data transmission efficiency and network robustness deteriorate
Solution Approach 1:
High-definition video and multi-channel audio are segmented into separate data pipes, allowing independent optimization of transmission parameters for each service component. This enables maintaining high service quality through dedicated error protection and encoding schemes while improving overall transmission efficiency through parallel processing.
Solution Approach 2:
The system dynamically adjusts transmission parameters such as error protection levels, modulation schemes, and coding rates for each data pipe based on service quality requirements. High-priority services like HD video receive enhanced protection and resources, while less critical services use more efficient but less robust transmission modes, optimizing the quality-efficiency tradeoff.
4Adaptability or versatility
If the system considers mobile reception equipment, then network flexibility is improved, but robustness of transmission/reception networks deteriorates
Solution Approach 1:
The system dynamically adjusts transmission parameters for data pipes serving mobile reception equipment based on channel conditions, reception speed, and service requirements. This allows the network to adapt to varying mobile reception scenarios while maintaining robustness through adaptive error protection and retransmission mechanisms.
Solution Approach 2:
Different robustness levels are applied to different data pipes based on their service importance and reception conditions. Critical services receive enhanced error protection and more robust modulation schemes, while less critical services use more efficient but less robust transmission, optimizing the flexibility-robustness balance for mobile reception.
Data Source
AI summary
The apparatus for transmitting broadcast signals, the apparatus comprises an encoder for encoding service data corresponding to each of a plurality of data transmission path, wherein each of the data transmission path carries at least one service component, a frame builder for building at least one signal frame including the encoded service data, a modulator for modulating the at least one signal frame by an OFDM (Orthogonal Frequency Division Multiplex) scheme, a transmitter for transmitting the broadcast signals carrying the at least one modulated signal frame, wherein each of the at least one signal frame includes a preamble having signaling data, wherein the signaling data includes size of FFT, information of whether the signal frame including EAC message or not and information relating to the service data of the signal frame.