Half-blind channel estimation method for joint cooperative clustering of cloud wireless access network

Abstract

The invention discloses a half-blind channel estimation method for joint cooperative clustering of a cloud wireless access network and belongs to the field of the cloud wireless access network. The method comprises the specific steps that all users send pilot and data information to remote radio units; after the pilot and data information is amplified by the remote radio units, own pilot information of the remote radio units is superposed with the amplified information; the information is forwarded to a centralized baseband processing unit pool; the centralized baseband processing unit pool processes the information to obtain channel state information; cooperative clusters are divided for the remote radio units; combination-split operation is carried out; utility functions corresponding to different clustering modes are evaluated, thereby obtaining the optimum clustering mode; corresponding processing is carried out on the received information of various clusters in the centralized baseband processing unit pool through utilization of the half-blind channel estimation method, thereby obtaining independent channel state information of access links and forward links; and data information is demodulated. According to the method, the pilot cost required by channel estimation is effectively reduced, and the data transmission efficiency of the cloud wireless access network is clearly improved.

Description

technical field [0001] The invention relates to the field of cloud wireless access networks, in particular to a semi-blind channel estimation method for joint cooperative clustering of cloud wireless access networks. Background technique [0002] In order to solve the pressure brought by the data transmission and processing of the system, the cloud wireless access network has become an important network architecture adopted in the 5G wireless communication system. However, in channel estimation, the pilot overhead will occupy additional wireless resources, thus causing the system data transmission rate to decrease. At the same time, reasonable control of the collaboration scale of the cloud wireless access network can also improve system data transmission performance. [0003] The channel estimation method in the prior art has a large pilot overhead, and does not take into account the use of appropriate clustering to improve system performance, resulting in low network data...

AI Technical Summary

Problems solved by technology

[0003] The channel estimation method in the prior art has a large pilot overhead, and does not take into account the use of appropriate clustering to improve system performance, resulting in low network data transmission efficiency

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