Frequency planning and scrambling code planning method and device based on adjacent zone priority level

Abstract

The embodiment of the invention discloses a TD (time division) frequency planning and scrambling code planning method based on an adjacent zone priority level, comprising: an adjacent cell priority level is generated through a zone adjacent factor, a zone factor and a zone direction factor based on the base station zone attribute according to the system technical scheme; and a TD main carrier frequency is distributed according to the generated adjacent zone priority level to ensure the minimality of the frequency interferences among zones; and then, a system assigns base scrambling code blocks and scrambling codes according to the adjacent zone priority level and the frequency so as to ensure the average minimization of the mutual interference of the frequency scrambling code among zones. According to the embodiment of the invention, the calculation method of the adjacent zone priority level is more reasonable, and the setting and switching process of the adjacent zone relationship is more reasonable. Furthermore, co-frequency encounter phenomena among the adjacent zones are avoided by adopting the scheme, so that the mutual correlation of the scrambling codes among the adjacent zones is minimal, and the maximal frequency resource and scrambling code resource utilization and the minimum frequency and scrambling code interferences among zones are ensured. And the network performance indexes such as call completing rate are improved, and the client perception quality is greatly improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for frequency planning and scrambling code planning based on neighboring cell priority. Background technique [0002] In a mobile cellular network, a cell where handover may occur is generally set as an adjacent cell, and a mobile station (for example, a mobile terminal such as a mobile phone) needs to keep measuring the signal level of the adjacent cell, so as to perform handover in time when necessary. Among them, common cellular network types include: GSM (Global System for Mobile Communications, Global System for Mobile Communications) network, CDMA (Code Division Multiple Access, Code Division Multiple Access) network, 3G (3rd-generation, third-generation mobile communication technology) network , FDMA (Frequency Division Multiple Access, Frequency Division Multiple Access) network, TDMA (Time Division Multiple Access, Time Division Multipl...

AI Technical Summary

Problems solved by technology

[0025] (1) When using the qualitative description method to determine adjacent cells, only the adjacent first circle of adjacent cells is used as the allocation of different frequencies, and when there are many adjacent cells in the first circle, the adjacent cells cannot be screened; When the number of neighboring cells is relatively small, it is impossible to reasonably supplement the second circle of neighboring cells; thus leading to the phenomenon of same-frequency sparring between adjacent areas and serious interference on the same frequency

[0026] (2) When the neighbor cell priority determination method of neighbor distance sorting is adopted, it is impossible to distinguish the situation of the cell antennas colliding or back-firing, which leads to the selection of the multiplexing cell when the TD main carrier frequency and scrambling code are allocated. It is unreasonable and increases the strong interference between neighbors

[0027] (3) When using the neighbor cell priority determination method of cell pilot signal strength sorting, there are problems of inaccurate simulation and troublesome testing, and because there are cells blocked by buildings and very close to each other, it is impossible to avoid problems due to cross-area Abnormal neighboring cells brought about; in the current network, it is necessary to optimize the out-of-area cells to avoid the coverage of out-of-area cells, which will lead to frequent changes in the frequencies and scrambling codes of surrounding cells

[0028] (4) There are too many subjective factors (for example, the cause of neighboring cells, the importance of neighboring cells, the setting of the pilot strength threshold value, the judgment and co-coverage calculation depending on the pilot strength threshold value, etc.), and the calculation method is complicated, and low availability

[0029] (5) When the quantitative calculation of a single parameter is used, it is impossible to take into account multiple situations, and in practical applications, the planning of adjacent cells is unreasonable, requiring a lot of energy, and continuous optimization and adjustment through testing; for TD-SCDMA As far as the network is concerned, it greatly affects the planning quality of TD frequencies and TD scrambling codes

[0030] (6) The conventional scrambling code planning algorithm only considers the basic constraints of scrambling code planning, and does not take too much into account the interference factors of composite codes, and the conventional scrambling code planning algorithm is closely dependent on the selection of adjacent cells, and the interference suppression effect is not good

[0031] (7) The cluster multiplexing algorithm is similar to the GSM frequency multiplexing method, and the interference suppression effect depends on the selection of the multiplexing code group, and there is no software in the prior art to achieve

[0032] (8) Mutually exclusive algorithms cannot use the steps of first assigning downlink pilot codes and then selecting scrambling codes in code planning; it is necessary to give priority to the allocation of base scrambling code groups, and then determine the downlink pilot codes and scrambling codes in order, constrained The conditions are relatively strict and the algorithm is complex

[0033] (9) The basic interference degree constraint algorithm fully considers the interference caused by the correlation change of the composite code when planning the system, plans the system scrambling code with stricter conditions, and reduces the code word in the same frequency network Interference between; the constraints are relatively strict, the algorithm is complex; and the calculation time is long, there will be no solution

Images