Cross-Network Coding Scheduling for Low-Latency Reliable Transmission
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Solution Overview
Problem
Existing network architectures in smart city construction face challenges with signal loss, connection rate limitations, and unreliable radio links, particularly in dead zones, failing to meet diverse application requirements for reliability and latency due to uniform encoding methods.
Innovation Solution
A method and apparatus for cross-network converged transmission using network coding, involving an encoding module that selects methods based on application type, adjusts encoding redundancy, and optimizes scheduling paths based on network status to improve bandwidth and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a uniform encoding method is adopted for data transmission, then the system is simple to implement, but it cannot meet diverse application requirements for reliability and latency
Solution Approach 1:
The patent implements dynamic encoding method selection where the encoding approach changes based on real-time network conditions and application requirements. The system dynamically adjusts between different encoding methods (e.g., network coding, traditional TCP/IP) and modifies encoding parameters such as redundancy levels and packet sizes to optimize performance for specific applications like video streaming, online gaming, or file transfer
Solution Approach 2:
The system changes encoding parameters adaptively based on network status and application type. This includes adjusting encoding redundancy, packetization schemes, and error correction levels according to real-time network conditions and specific application requirements, allowing the same encoding infrastructure to serve multiple applications with different reliability and latency needs
2Reliability
If traditional single-network transmission is used, then the system is simple to manage, but signal loss and connection rate limitations occur in dead zones
Solution Approach 1:
The patent merges multiple network transmission paths (e.g., 5G, WiFi, satellite) into a unified cross-network transmission system. The system combines these different network types to create redundant transmission routes, ensuring that data can be delivered reliably even when one network path fails or enters a dead zone
Solution Approach 2:
The patent introduces a network convergence controller as an intermediary layer that manages multiple network paths. This mediator selects optimal transmission routes, performs packet routing across different networks, and handles protocol translation, thereby improving reliability without requiring complex changes at the application level
3Productivity
If network coding is implemented with dynamic encoding and scheduling, then data transmission reliability and bandwidth are improved, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary encoding and packet preparation in advance before actual data transmission. The system pre-generates encoded packets with embedded redundancy information and pre-establishes multiple transmission paths, so that when transmission is needed, the processing time is minimized and bandwidth utilization is maximized
Solution Approach 2:
The patent replaces complex real-time processing mechanics with pre-computed encoding schemes and lookup tables. Instead of performing complex encoding calculations in real-time during transmission, the system pre-computes encoding parameters and stores them for quick retrieval, reducing processing complexity while maintaining high bandwidth utilization
Data Source
AI summary
The present application provides a method and apparatus for cross-network converged transmission based on network coding and relates to the field of communication technologies. The method initially includes selecting an encoding method based on an application type and encoding original packets to obtain a plurality of to-be-transmitted packets. A network status is obtained and a scheduling scheme is determined based on the network status. Weights of links for transmitting the plurality of to-be-transmitted packets are adjusted based on the scheduling scheme. In the present application, the encoding method is selected based on the application type such that cross-network converged transmission can be completed based on network coding. This reduces latency while improving data transmission bandwidth.