Method of optimizing parameter of digital fountain code in 4G and 5G wireless communication systems

Abstract

The invention discloses a method of optimizing a parameter of a digital fountain code in 4G and 5G wireless communication systems. The method comprises the following steps of first, calculating an average function, specifically, calculating an average function of robust solitary wave distribution according to a robust solitary wave distribution definition, and performing approximation processing;second, analyzing monotony of the average function, so as to obtain a maximum of the average function; and third, calculating a degree distribution optimization parameter of the digital fountain code.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for optimizing parameters of digital fountain codes in 4G and 5G wireless communication systems. Background technique [0002] In an information network, information is usually transmitted in units of packets (packets, frames). The main reliable transmission methods are generally divided into two categories: Automatic Repeat reQuest (ARQ) and Digital Fountain (DF). [0003] The end-to-end acknowledgment mechanism is mainly realized through the automatic repeat request (Automatic Repeat ReQuest, ARQ), that is, the receiving end detects whether the data packet is successfully received, and then returns a successful receipt acknowledgment (Acknowledgment, ACK) or acceptance failure acknowledgment (NACK), Then the sender resends the data packets that have not been successfully received according to the returned acknowledgment characters until all d...

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Problems solved by technology

However, ARQ has insurmountable problems and deficiencies: 1) In applications with long communication distances (such as satellite communications), the feedback delay of ACK / NACK is very long (such as communications between geostationary satellites and the ground, one-way It takes 270ms), and the transmission efficiency is relatively low; 2) Compared with wired communication such as optical fiber, wireless communication has poor communication quality and high packet loss rate. In applications with a large number of users such as data broadcasting, due to the feedback ACK / NACK information Too many, it is easy to cause ACK / NACK storms, bring network congestion, and further affect transmission efficiency; 3) For data broadcast applications, the heterogeneity of the channel leads to different data packets that need to be retransmitted by different receiving ends, and the sending center retransmits different packets. The data packets sent are only useful to some receiving ends. In order to ensure that all receiving ends can receive all data packets correctly, the number of data packets resent by the sending center has increased significantly, resulting in a waste of resources

However, the performance of RSD is closely related to the selected parameters to a large extent, and the parameters are different, and the codeword performance often varies greatly.

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