Method and device for scrambling code distribution

Abstract

The invention discloses a method and device for scrambling code distribution. The method comprises the steps of determining to-be-distributed scrambling code cells according to the scrambling code programming sequence of cells; determining optimal candidate scrambling codes for the to-be-distributed scrambling code cells according to the set scrambling code programming avoiding principle and the adjacent region relations of the to-be-distributed scrambling code cells; distributing the optimal candidate scrambling codes to the to-be-distributed scrambling code cells; and if the number of the optimal candidate scrambling codes is plural, selecting a candidate scrambling code among the multiple optimal candidate scrambling codes and distributing the candidate scrambling code to the to-be-distributed scrambling code cells according to the correlation measurement values of the optimal candidate scrambling codes and scrambling code of a first round of cells, so as to reduce the compound code coinciding probability after scrambling code distribution and reduce same frequency interference of the adjacent cells.

Description

technical field [0001] The present invention relates to the technical field of communications, and in particular to a method and device for allocating scrambling codes. Background technique [0002] Cellular mobile communication systems of different standards usually use different technical characteristic parameters to distinguish signals of adjacent cells. In the TD-SCDMA (Time Division-Synchronous Code Division Multiple Access, Time Division Synchronous Code Division Multiple Access) system, a scrambling code is used to distinguish adjacent cells of the same frequency network. [0003] The TD-SCDMA network needs to plan the downlink pilot code and scrambling code. A downlink pilot code corresponds to 4 scrambling codes, and they can be regarded as a group. When performing code planning, it is first necessary to determine the sequence number of the downlink pilot code of each logical cell in the 32 optional code groups, and then select a scrambling code for the cell from ...

AI Technical Summary

Problems solved by technology

[0004] The existing scrambling code allocation method is to determine the set of neighboring cells based on the neighbor cell relationship, and select the optimal scrambling code according to the avoidance principle of scrambling code allocation. The probability of code coincidence is high

If the composite codes of cell 1 and cell 2 overlap, and the distance between the terminals in cell 1 and the terminals in cell 2 is relatively close, it may not be possible to distinguish the two channels of data. large co-channel interference

When the co-channel interference between adjacent cells is large enough to affect the demodulation performance of the baseband physical layer, it will cause the deterioration of link performance and thus affect the capacity of the system

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