Mapping method and device, demapping method and device, computer storage medium

Abstract

The invention discloses a mapping method, comprising: obtaining the data to be mapped in the current cycle; extracting the bit data of valid data bits in the data to be mapped according to the compression mode of the data to be mapped to obtain each antenna carrier The sample point data corresponding to each sampling point in the above; the unmapped data of the previous cycle and the sample point data are spliced ​​to obtain the spliced ​​data of the current cycle; the unmapped data of the previous cycle is the previous cycle Splicing data cutting The remaining data after the mapping data is obtained, or the splicing data of the previous cycle whose data length does not meet the cutting granularity; when the data length of the splicing data of the current cycle meets the cutting granularity, the splicing data of the current cycle is cut to obtain map data. The invention also discloses a mapping device, a demapping method and device, and a computer storage medium at the same time.

Description

technical field [0001] The present invention relates to wireless communication interface technology, in particular to a mapping method and device, a demapping method and device, and a computer storage medium. Background technique [0002] In the Long Term Evolution (LTE, Long Term Evolution) antenna system, in order to save the transmission bandwidth of the Common Public Radio Interface (CPRI, Common Public Radio Interface), a mapping unit needs to be introduced between compression and crossover, in order to arrange data closely. Correspondingly, a demapping unit needs to be introduced between interleaving and decompression, in order to restore closely arranged data to normal arranged data. [0003] Traditional mapping and demapping schemes are usually described separately based on all combinations of each compression mode and each sampling rate; this will consume a lot of logic resources. Moreover, when the 5G communication protocol is still uncertain, the value of the sam...

AI Technical Summary

Problems solved by technology

[0003] Traditional mapping and demapping schemes are usually described separately based on all combinations of each compression mode and each sampling rate; this will consume a lot of logic resources

Moreover, when the 5G communication protocol is still uncertain, the value of the sampling rate is uncertain, and there may be a high sampling rate greater than 30.72M, so that the mapping and demapping scheme under the 4G LTE protocol is different from the mapping and demapping scheme under the 5G communication protocol. The mapping schemes are incompatible, making the existing mapping and demapping schemes less compatible

Images