A Rateless Coding Transmission Method Applicable to Dying Channels

Abstract

The invention relates to the communication field, in particular to a rateless coding transmission method suitable for dying channels. The invention establishes a time-varying deletion dying channel model with random channel survival time and channel quality subject to Markov state transfer, and provides a rateless coded transmission method suitable for dying channels, through heuristic degree distribution design The analysis and optimization of the optimal codeword length verified the performance of the transmission strategy in terms of recovery probability and throughput in the scenario of incomplete reliable transmission, thus solving the problem of data invalidation in the scenario of random "death" interruption of the channel. Transmission problem. The present invention improves the information transmission and recovery capabilities of rateless coding in extreme communication environments, and can be applied to communication systems in scenarios such as land combat sensor networks, disaster rescue, and geological exploration.

Description

Technical field [0001] The present invention relates to the field of communication, in particular to a rateless coding transmission method suitable for near-death channels. Background technique [0002] 1. The characteristics and application scenarios of the near-death channel [0003] Whether it is an AWGN channel or a fading channel, the sender usually has a priori knowledge of the channel length, and the channel length is usually determined (limited or infinite). However, in some specific communication scenarios, the communication process is often forced to be interrupted by physical attacks such as random occurrences, such as sudden system damage, electromagnetic interference, and energy exhaustion. In this case, the length of the channel is no longer a fixed value, but cannot be predicted, as if the channel is "dead". Once the channel is "dead", all subsequent data packets will be lost, and the sender will not be able to receive feedback from the receiver on packet loss or r...

AI Technical Summary

Problems solved by technology

[0005] 1. For wireless sensor networks in land mobile combat environments, sensor nodes may be damaged due to factors such as fire, explosion or energy exhaustion, resulting in sudden interruption of the channel;

[0006] 2. In cognitive radio networks with opportunistic spectrum sharing, when the channel is occupied by the primary transmission, the secondary link will be interrupted suddenly, and this interruption is usually unpredictable;

[0007] 3. In the marine communication system, due to the complex and changeable marine environment, once the submarine cable is cut off, it is very likely that the channel will be interrupted and cannot be restored.

[0008] 4. In the data communication of emergency rescue in the environment of natural disasters such as volcanoes and earthquakes, the link will be attacked by uncertain factors at any time, causing the channel to be completely interrupted

[0009] 5. The integrated communication system existing in biological cells, once the intracellular environment changes, the system is very likely to be interrupted suddenly and cannot be restored

[0011] 2. Rateless encoding method

Since increasing the input code length means that the number of original data packets to be transmitted increases, the average throughput (the number of original data packets that can be correctly recovered by the decoding end per unit time) must be improved; however, due to the limitation of the total amount of data that can be transmitted Increasing the original code length means that coding redundancy will inevitably be reduced, resulting in reduced decoding reliability and reduced transmission efficiency

Therefore, the selection of the original packet length is a trade-off optimization problem

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