A Cognitive-Based Dynamic Soft Frequency Multiplexing Method

Abstract

The invention discloses a dynamic soft frequency reusing method based on cognition. According to the dynamic soft frequency reusing method based on the cognition, frequency spectrum using state information is obtained by means of mutual cooperation of cognition base stations, so that an available resource set is determined and same frequency interference from a neighboring cell is evaluated, and then dynamic resource borrowing and flexible selection of service base stations are carried out on the edge of an over-loaded cell according to the communication quality of a resource block. According to the dynamic soft frequency reusing method based on the cognition, a relatively fixed resource distributing method used on edge users according to traditional soft frequency reuse is changed, and the resource utilization rate is improved and transmission rate of the edge users is increased remarkably on the premise that inter-cell interference is effectively suppressed.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a cognition-based dynamic soft frequency multiplexing method for LTE (Long Term Evolution, Long Term Evolution) downlink, which can effectively suppress inter-cell interference, ensure communication quality of edge users, and improve system resource utilization . Background technique [0002] With the increasing demand for data transmission rate in mobile communication services, higher and higher requirements are placed on the frequency efficiency of mobile communication systems. For cellular systems, it is hoped that the frequency reuse factor between cells will be as close to 1 as possible. However, while reducing the frequency reuse factor, it will inevitably introduce interference problems, especially co-frequency interference between adjacent cells, which will lead to a sharp decline in the service quality of cell edge users. For the second-generation mobile ...

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Problems solved by technology

[0003] The disadvantage of traditional SFR is that the spectrum allocation method of cell edge users is relatively fixed, and only a part of the system spectrum can be used. When the business load is unevenly distributed, the system frequency efficiency is low

In order to alleviate this problem, some improvement schemes have been proposed: in the literature ZhangX, HeC, JiangL, et al. In inter-cell interference coordination), the improved proportional fair scheduling algorithm (ProportionalFair, PF) is adopted, and edge users can use all resource blocks (ResourceBlock, RB), and the spectrum utilization rate is improved, but at the same time, the inter-cell interference is increased

3GPP, R1-051341, FlexibleFractionalFrequencyReuseApproach[S].Seoul:Samsung, 2005 (a flexible partial frequency reuse method) proposed a method to flexibly occupy the edge spectrum of adjacent cells to solve the problem of excessive load at the edge of the cell, but due to In the process, the orthogonality of edge area resources between adjacent cells is not guaranteed, causing co-channel interference to adjacent cells, and this method selects RBs in a fixed order, which cannot adapt to dynamic channel changes

The current research work is mainly in heterogeneous network scenarios, and the research on cognitive technology to improve the performance of edge users in LTE homogeneous networks is still quite scarce

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