Dirty paper coding and decoding method based on joint lattice forming technology in cognitive network

Abstract

The invention provides a dirty paper coding and decoding method based on a joint lattice forming technology in a cognitive network, and the method is applicable to the occasion that a main network has only one main user and a cognitive wireless network has multiple secondary users. The method includes the specific steps that to guarantee that a signal to noise ratio of a main user receiving end is not changed, secondary user sending ends forward a sending signal of the main user while the secondary user sending ends send the corresponding signals through multiple transmitting antennas of the secondary user sending ends; grouping is conducted on signals transmitted to all secondary user receiving ends through the secondary user sending ends, channel coding and joint lattice forming coding are conduced respectively, and then a coding bit sequence is mapped into a symbol sequence and zero-forcing dirty paper coding is conducted so as to eliminate interference of other users; signals sent out by the main user are overlapped and then transmitted to multiple secondary user receiving ends through a channel by means of multiple transmitting antennas of a main user sending end so as to improve secondary user receiving performance. A traditional channel convolutional decoding method, namely signal restoring, is adopted for the secondary user receiving ends respectively. The method is simple in operation steps, lower in calculation complexity and high in practicability.

Description

technical field [0001] The invention relates to a dirty paper encoding and decoding method based on joint lattice forming technology, which is used to solve the problem of the reduction of the signal-to-noise ratio of the receiving end of the master-slave user due to the mutual interference between the master-slave users in the cognitive wireless network. The problem of increased bit error rate belongs to the technical field of signal coding and decoding. Background technique [0002] With the rapid development of different types of wireless services, the demand for spectrum has also increased exponentially, causing the contradiction between supply and demand of spectrum resources to become increasingly prominent, which has become one of the bottlenecks restricting the development of the wireless communication field in the future. Therefore, new wireless network technologies are urgently needed to enable wireless communication networks to adapt to dynamic changes in the elec...

AI Technical Summary

Problems solved by technology

[0008] However, these methods all need to perform iterative decoding operations at the receiving end, which increases the complexity of decoding

Moreover, these methods only consider the case of a single slave user

When there are multiple slave users in the cognitive wireless network, no relatively simple and effective encoding and decoding methods have been found so far.

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