Super-intensive network small station dormancy method based on signal channel and queue perception

Abstract

The invention provides a super-intensive network small station dormancy method based on signal channel and queue perception. The method includes the steps: acquiring network information; calculating an optimal dormancy proportion according to a gradient descent method; calculating the number of small stations to be dormant; calculating the mean queue length and the average transfer rate of each small station at every time interval within a certain time by enabling the switching proportion of a base station to be 0; sorting the small stations in an ascending manner according to the product of the mean queue length of each small station and the average transfer rate of a user to obtain the number of dormant small stations; sequentially turning off the small stations according to the order. According to the small station dormancy method for a super-intensive heterogeneous network, data business volume is acquired, base station dormancy strategies are executed according to the signal channel state between the base station and the user, the method is effectively applicable to a practical system, performance gain better than that of a traditional method can be brought, and system energyconsumption is remarkably reduced under the condition of ensuring user time delay characteristics.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an ultra-dense network small station dormancy method based on channel and queue perception in a wireless communication system. Background technique [0002] The explosive growth of mobile traffic in the 5G (the fifth generation) network has brought great challenges to mobile network operators. In order to meet future mobile data requirements and greatly improve system capacity and user experience quality, deploying ultra-dense low-power small cells in the coverage area of ​​traditional high-power macro cells, especially in high-traffic hotspot areas, can obtain huge throughput gains. Since small and medium-sized stations in ultra-dense networks are often deployed in some difficult-to-reach locations, this brings difficulties to the installation of optical fiber backhaul links. To solve this problem, operators use wireless transmission technology to tran...

AI Technical Summary

Problems solved by technology

[0002] The explosive growth of mobile traffic in the 5G (the fifth generation) network has brought great challenges to mobile network operators

[0003] The existing base station dormancy technology selects the base station to be shut down based on user service perception or channel status, but does not combine service status and channel information, and all use optical fiber technology to transmit backhaul link information, regardless of the backhaul link The impact of delay and energy consumption on the overall performance of the system makes it difficult for the existing sleep strategy to be applied to the actual ultra-dense heterogeneous network based on wireless backhaul

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