Processing method and device for optimizing communication network

Abstract

Embodiments of the present invention provide a processing method and device for optimizing a communication network. The method includes: a small station determines an optimized cell selection bias CSB value according to the capacity and coverage of the small station; The current CSB value of the small station is updated to the optimized CSB value; the small station sends the optimized CSB value of the small station to at least one terminal; through this method and device, the adjustment frequency of the CSB value does not need to be adjusted with the frequency of adjusting the ABS value Keeping the same, the first network element can adjust the CSB value at a relatively short time interval, so as to timely optimize the dynamically changing communication network without causing huge signaling overhead.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and in particular, to a processing method and device for optimizing a communication network. Background technique [0002] With the continuous enrichment of mobile service types, the demand rate of terminals continues to increase, and the communication network needs to be continuously expanded to meet the growing demand. Due to the limited available spectrum, the most effective method for network expansion at present is to add small cell base stations on the basis of existing macro base stations, and to increase network capacity through spectrum reuse. Due to the low transmission power and small coverage area of ​​small cells, which can effectively reduce the interference of neighboring cells, in network deployment, small cells are often set in network hot spots or vulnerable areas to solve network capacity and coverage problems. Compared with the macro station, bo...

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Problems solved by technology

[0004] In the prior art, the network controller first determines the ABS (Almost Blank Subframe) value of each macro station and the conditions of terminals accessed by each macro station and small station under the influence of the ABS value, and further Determine the CSB value for each small station to optimize the communication network; among them, the macro station and the small station have different service points in the communication network. For example, the small station mainly solves the problem of hot spots or loopholes, while the network The area changes greatly with time, so the adjustment cycle of the CSB value needs to be shortened as much as possible, so as to effectively and timely solve the problem of the current hotspot area or loophole area in the communication network; but when using the solution in the prior art to optimize the communication network, Since the network controller adjusts the ABS value and CSB value in the whole network at the same time granularity, in order to adapt to the dynamic changes of the communication network, the network controller needs to adjust the ABS value and CSB value frequently at the same time, resulting in a large Signaling overhead, but affects the service performance of the communication network

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