Method and system for signal optimization based on signal-to-noise ratio c/i

Abstract

The invention discloses a method and system for carrying out signal optimization based on carrier-to-interference ratio (C / I), and relates to the field of mobile communication technologies. The method includes the steps that boundaries and center points of all time slots of all frame periods are determined; aiming at all the time slots of a frequency point, average received power and the maximum received power of a current time slot are calculated according to the boundaries and center points of the time slots; then the carrier-to-interference ratio of the current time slot is calculated; according to the carrier-to-interference ratios of all the time slots of the frequency point, the service state of the frequency point is judged, and signal quality optimization processing is carried out according to the service quality optimization principle. According to the carrier-to-interference ratio C / I values, the serves states of all the time slots can be reflected accurately, the frequency point containing much disturbed time slots is adjusted to be a frequency point containing much free time slots, moreover, the maximum received power is smaller than preset power, and therefore the signal optimization is achieved. Signals can be optimized reasonably according to the service states, network load optimization is achieved, and overall performance of a honeycomb wireless network is improved and promoted fundamentally.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a method and system for signal optimization based on the signal-to-noise ratio C / I. Background technique [0002] With the rapid growth of mobile services, the wireless network load is increasing day by day, and GSM900, DCS1800, and EGSM frequency bands have been put into large-scale applications one after another. While the distance between the base stations of the cellular wireless network is continuously shrinking, the number of high-carrier configuration sites is also increasing rapidly, and the frequency reuse density is continuously increasing. At present, the GSM wireless network of China Mobile Group generally has problems such as excessive overlapping coverage, serious cross-region coverage, a sharp increase in the probability of co-adjacent channel interference, and a significant increase in the noise floor of the wireless network system. These problems le...

AI Technical Summary

Problems solved by technology

These problems lead to the deterioration of wireless signal quality, serious interference of levels 5 to 7, and significant decline in user perception

[0003] In the traditional method of analyzing interference and coverage of regular hexagonal cell clusters, the signal-to-noise ratio C / I cannot be accurately calculated, and it is only a rough estimate, resulting in large errors in the process of signal optimization and adjustment, sometimes even Adjustment errors are caused, and the range and degree of existing signal optimization adjustments are greatly limited. Therefore, existing signal detection solutions cannot meet the increasingly complex wireless network analysis requirements, and conventional methods based on existing signal detection technologies The carrier-to-interference ratio (the ratio of the carrier power to the interference signal), that is, the signal-to-noise ratio C / I, cannot be accurately calculated by means of measurement and frequency sweep testing. This has become a key technical bottleneck for further fine-tuning of the current wireless network.

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