Truncation convolution coding optimization construction method

Abstract

The invention discloses a truncation convolution coding optimization construction method. The method comprises the following steps: constructing a protograph and a basis matrix of a truncation convolution LDPC extension code set; obtaining a decoding threshold of a truncated convolutional LDPC extension code set through iterative computation; optimizing and reducing the decoding time delay of thetruncated convolution LDPC extended code set through iterative search; and constructing the check matrix of the truncated convolution LDPC extension code. According to the invention, the truncated convolution LDPC extension code suitable for 5G and 6G heterogeneous cellular network pulse channels is constructed, the transmission reliability of data on the pulse channels can be effectively improved, and the transmission time delay is reduced.

Description

technical field [0001] The invention relates to communication channel coding technology, in particular to a truncated convolution coding optimization construction method. Background technique [0002] Facing the vision and requirements of ubiquitous connectivity in future 5G and 6G mobile communications, network elements at different levels, such as macrocells, microcells, device-to-device (D2D) connections, and Bluetooth, will be deeply integrated to form a multi-layered, ultra-dense, Heterogeneous network system with overlapping coverage. In the above-mentioned heterogeneous network, a large amount of inter-channel interference with impulsive characteristics will be frequently generated during the communication process. For example, femtocells that are not deployed as planned and randomly accessed will cause non-Gaussian impulse noise in macrocells and other femtocell networks; Inter-channel interference will be generated when colliding, and this collision interference h...

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Problems solved by technology

The low-density parity-check codes (LDPC, low-density parity-check codes) error correction capability used in the 5G standard is difficult to cope with a large number of burst errors and bit deletion errors on the pulse channel, and there are difficulties in optimizing the design of low-code rate LDPC codes. The problem

However, regular LDPC spreading codes can only construct finite-length practical codewords when the column weight is 2, resulting in a very limited optimization design space

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