Synchronization and calibration method of densely-distributed mobile communication network system

Abstract

The invention provides a synchronization and calibration method of a densely-distributed mobile communication network system. Radio access units (RAU) are densely distributed in each cell, and all the RAUs are connected with a baseband processing unit (BPU) in the same cell through high-speed links. In a synchronization stage, the BPU sends carrier signals to all the RAUs connected with the BPU after receiving synchronization request signals; after the RAUs receive the carrier signals, phase-locked loops are adopted for obtaining the carrier signals, and time delay of transmission lines are estimated. In the calibration stage, the BPU carries out clustering on the RAUs connected with the BPU to form tree-shaped clustering topology; the RAUs in each cluster receive calibrating signals from one another and send calibrating signals to one another, and transmit the received calibrating signals to the BPU through the high-speed links, and the BPU calculates the corresponding calibration factor; calibration factors of the distributed RAUs in different clusters are obtained through indirect calculation to achieve calculation of all the distributed RAUs. The synchronization and calibration method of the densely-distributed mobile communication network system is low in system complexity and free of user participation or wireless feedback.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a multi-user space division multiple access wireless communication system arranged by densely distributed wireless access units. Background technique [0002] The increasingly scarce spectrum resources and the continuous growth of wireless data traffic have become important factors driving new changes in wireless communication systems. With the continuous development of communication technology, high-order modulation and coding, link adaptive method, MIMO and other methods have been applied in wireless communication. It can be said that the performance development and engineering practice of point-to-point communication links have almost reached the limit. [0003] In order to achieve the dual goals of higher spectral efficiency and green wireless communication, dense distributed mobile communication technology has been proposed. System performance is improved...

AI Technical Summary

Problems solved by technology

In this way, from the perspective of the impact on the signal, each RF circuit is actually equivalent to multiplying the transmitted and received signals by an additional coefficient, that is, the RF gain, and the RF gain is usually mismatched. This RF gain mismatch destroys the reciprocity of the communication channel

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