Time-Frequency Slicing for OFDM Broadcasting Signal Transmission
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Solution Overview
Problem
Current digital broadcasting technologies face inefficiencies in data transmission, particularly with the increasing demand for high-definition video and audio signals, as existing methods struggle to effectively manage the increased data volume and channel numbers.
Innovation Solution
The proposed method employs a signal transmission and reception system using a time-frequency slicing scheme, where multiple services are multiplexed across several RF bands, utilizing pilot signals for synchronization and error correction, and advanced modulation techniques like OFDM to enhance data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple services are transmitted over several RF channels using time-frequency slicing, then data transmission efficiency is improved and statistical multiplexing gains are achieved, but system complexity increases due to the need for advanced modulation techniques and synchronization mechanisms
Solution Approach 1:
The transmission system divides services into multiple physical layer pipes (PLPs) that can be independently modulated and transmitted over different RF channels. Each PLP is segmented into transport blocks that are further divided into code blocks, enabling parallel processing and efficient utilization of multiple RF channels while maintaining manageable complexity through modular architecture
Solution Approach 2:
The system employs a universal frame structure and modulation framework that can accommodate multiple services with different requirements (H.264, H.265, AAC, HE-AAC) using the same underlying transmission mechanism. The time-frequency slicing scheme provides a multi-functional platform that handles both multiplexing and error correction uniformly across all services
2Quantity of substance
If the number of broadcasting channels and data volume are increased to meet user demands, then service capacity is improved, but error correction challenges increase due to larger data volumes and more channels
Solution Approach 1:
The error correction system segments the large data volume into transport blocks and further into code blocks, each independently encoded with LDPC codes. This segmentation allows parallel error correction processing and prevents a single error event from corrupting the entire data stream, enabling reliable transmission of large data volumes across multiple channels
Solution Approach 2:
The system dynamically adjusts LDPC code rates and modulation schemes based on channel conditions and service requirements. By changing coding parameters and modulation depth, the system maintains optimal error correction performance across varying data volumes and channel qualities, ensuring reliability even as system capacity scales
Data Source
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AI summary
The invention concerns a method of transmitting a broadcasting signal, the method comprising: encoding data for delivering a service; building a signal frame including the encoded data and Layer-1 (L1) signaling data, wherein the L1 signaling data includes information corresponding to a starting radio frequency (RF) channel which can receive a PLP in the signal frame; modulating the signal frame by an orthogonal frequency division multiplexing (OFDM) scheme; and transmitting a broadcasting signal including the modulated signal frame.