Rateless code transmission method suitable for dying channel

Abstract

The invention relates to the field of communication, and more particularly to a rateless code transmission method suitable for a dying channel. A Semi-Markov Dying Erasure Channel model is established, wherein the model has random channel survival time and the channel quality shifts along with the Markov state. The rateless code transmission method suitable for the dying channel is provided. Due to analysis and optimization of heuristic degree distribution design and optimal codon length, the performances like recovery probability and throughput of a transmission policy in an incompletely reliable transmission scene are verified, so that the data can be transmitted effectively when the channel has the random 'dying' interruption scene. The information transmission and recovery capability of the rateless code in an extreme communication environment are improved, and the method can be applied to the communication system in scenes like sensor networks for land battles, disaster relief, geological exploration and so on.

Description

technical field [0001] The invention relates to the communication field, in particular to a rateless coding transmission method suitable for dying channels. Background technique [0002] 1. The characteristics and application scenarios of the dying channel [0003] Regardless of whether it is an AWGN channel or a fading channel, the sender usually has prior knowledge of the channel length, and the channel length is usually determined (finite or infinite). However, in some specific communication scenarios, the communication process is often forced to be interrupted by random physical attacks, such as sudden system destruction, electromagnetic interference, and energy exhaustion. In this case, the length of the channel is no longer a fixed value, but unpredictable, as if the channel "dead". Once the channel is "dead", all subsequently sent data packets will be lost, and the sending end will not be able to receive feedback from the receiving end on packet loss or real-time ch...

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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