Relative interference intensity modeling method and device and computer readable storage medium
A technology of relative interference and strength, applied in the direction of digital transmission system, error prevention, electrical components, etc., can solve problems such as unsatisfied, interference information, interference management, etc., and achieve simple implementation, low algorithm complexity, accurate and complete interference modeling effect
Active Publication Date: 2020-07-21
CHINA MOBILE COMM LTD RES INST +1
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Problems solved by technology
[0003]
The existing interference modeling schemes cannot obtain global interference information, and have many shortcomings such as low accuracy, poor real-time performance, large feedback overhead, and inability to adapt to network dynamics, so effective interference management cannot be performed.
Moreover, the interference information obtained by existing schemes can only reflect the total interference of multiple interference sources in the network at the moment when it has occurred, and cannot be an effective basis for resource allocation
Especially when the density of network deployment continues to increase, it cannot meet the requirements for the accuracy, real-time and comprehensiveness of interference information
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[0055] The present invention will be described below in conjunction with the accompanying drawings and embodiments.
[0056] The embodiment of the present invention provides a relative interference strength modeling method, such as figure 1 As shown, the method includes:
[0057] Step 101: Preprocessing the preprocessed wireless data of wireless resource allocation data, wireless performance data and auxiliary data generated during network operation;
[0058] Step 102: Based on the preprocessed wireless resource allocation data and wireless measurement data, determine the confidence level of the frequent binomial set formed by each terminal and its own interference sources;
[0059] Step 103: Determine the relative interference strength of each interference source based on the confidence level.
[0060] The embodiment of the present invention utilizes a large amount of wireless resource allocation data and wireless measurement data generated during the operation of the wirel...
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The embodiment of the invention provides a relative interference intensity modeling method and device and a computer readable storage medium. The method comprises the following steps of: preprocessingwireless resource allocation data, wireless performance data and wireless data for assisting data preprocessing generated in a network operation process; based on the preprocessed wireless resource allocation data and wireless measurement data, determining the confidence coefficient of a frequent binomial set formed by each terminal and each interference source of each terminal; and determining the relative interference intensity of each interference source based on the confidence.
Description
technical field [0001] The invention relates to the technical field of mobile communication, in particular to a relative interference strength modeling method, device and computer-readable storage medium. Background technique [0002] Wireless network interference modeling is the basis of wireless network resource allocation. The more comprehensive and accurate the interference information is, the more effectively it can guide the network to allocate reasonable resources, and the more it is conducive to improving network performance. Existing methods for obtaining interference strength mainly include the following two methods: one is to establish an interference matrix based on frequency sweep data, and the other is to establish an interference matrix based on a measurement report message of a terminal. [0003] The existing interference modeling schemes cannot obtain global interference information, and have many shortcomings such as low accuracy, poor real-time performanc...
Claims
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IPC IPC(8): H04W16/10H04W16/22H04W24/08H04L1/16
CPCH04W16/10H04W16/22H04W24/08H04L1/1607
Inventor 曹佳琪袁雁南彭涛段然
Owner CHINA MOBILE COMM LTD RES INST