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Cell clustering method and frequency spectrum overlapping multiplexing method based on same

一种小区分簇、小区的技术，应用在电气元件、无线通信、网络规划等方向，能够解决无法保证网络容量和网络覆盖水平、粒度大、不能消除和减少簇内小基站强干扰等问题，达到提升小区边缘频谱效率、提升平均频谱效率的效果

Inactive Publication Date: 2017-11-21
SHANGHAI RES CENT FOR WIRELESS COMM
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0014] Under the ultra-dense networking conditions of the above cell clustering methods, when the number of interfering cells increases and the number of cells in the cluster is large in the later stage of cluster merging, the disadvantages begin to appear. For example, the granularity of cluster merging is too large, and only the cluster and The average interference between clusters cannot eliminate and reduce the strong interference between small base stations in the cluster. The CCIR method only considers the interference between cells, and it cannot guarantee that the network capacity and network coverage level can be improved.

Method used

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  • Cell clustering method and frequency spectrum overlapping multiplexing method based on same
  • Cell clustering method and frequency spectrum overlapping multiplexing method based on same
  • Cell clustering method and frequency spectrum overlapping multiplexing method based on same

Examples

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no. 1 example

[0052] Combine below figure 1 , the first embodiment will be described in detail.

[0053] Step 1: Clustering small base stations

[0054] In this step, all small base stations in a virtual cell are divided into different clusters.

[0055]First, the number of clusters for clustering the small cells is obtained. In this embodiment, according to the CCIR method or the CCTI method proposed by the present invention (described in detail later), the optimal number of clusters in the CCIR method or the CCTI method is determined through simulation.

[0056] The optimal number of clusters in the present invention refers to the optimal number of clusters when the system capacity and coverage performance are divided into other cluster numbers. In other words, when the small base stations are divided into the optimal number of clusters, the overall performance of system capacity and coverage performance is the best. The optimal number of clusters is obtained as follows: first assume ...

no. 2 example

[0092]After using the CCTI method provided by the present invention to perform cell clustering based on throughput (SINR) and fairness, based on the clustering results, LTE fairness scheduling, soft handover, etc., and spectrum multiplexing can also be performed. kind of scheme.

[0093] For example, in the method of performing user scheduling after performing cell clustering based on throughput, each small cell may separately schedule users in the cell according to the principle of proportional fairness after performing cell clustering based on throughput. Scheduling can also be done by means of polling and maximum load-to-interference ratio.

[0094] In the second embodiment, combining figure 2 and image 3 This paper introduces the spectrum overlapping multiplexing method after cell clustering based on throughput. Include the following steps:

[0095] Determining overlapping and non-overlapping parts of the frequency spectrum that cells of each cluster can use;

[009...

no. 3 example

[0109] The difference between the third embodiment and the first embodiment is that the optimal number of clusters is obtained according to the existing CCIR method, and different users are distinguished based on the signal-to-interference-noise ratio (SINR), and then allocated to overlap or non-overlapping parts. The method includes the following steps:

[0110] Determining overlapping and non-overlapping parts of the frequency spectrum that cells of each cluster can use;

[0111] Judging users with high interference and users with low interference in the cell, and assigning the users with high interference to the non-overlapping part.

[0112] Wherein, the users with high interference refer to users with poor SINR in the cell; the users with low interference refer to users with high SINR in the cell.

[0113] refer to Figure 4 , first obtain the optimal number of clusters according to the existing CCIR method, and the optimal number of clusters is 2 in this embodiment. ...

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Abstract

The invention discloses a cell clustering method used to divide a plurality of cells into N clusters. The method comprises the following steps: based on throughput capacity, respectively putting N cells which have maximum interference into the N clusters, using the N cells as initialization of each cluster; based on the throughput capacity, putting the cells which have minimum interference with the cluster into the cluster, until all cells are distributed into each cluster. The invention also discloses a frequency spectrum overlapping multiplexing method based on the cell clustering method. Using the cell clustering method and the frequency spectrum overlapping multiplexing method can improve cellular system average spectrum efficiency and cell edge spectrum efficiency.

Description

technical field [0001] The invention relates to a cell clustering method and a spectrum overlapping multiplexing method based on the cell clustering method, and belongs to the technical field of wireless communication. Background technique [0002] At present, the common cell clustering methods are shown in the following examples: [0003] Method 1: Clustering method based on graph theory [0004] This method mainly uses the edges between nodes to represent interference, abstracts the interference value as interference weight, and then draws the interference graph according to different methods and then performs clustering. Some methods use K-means to decompose subgraphs , each subgraph is regarded as a cluster, and some are based on the similarity. You can set the cell distance, channel gain, etc. scheduling. [0005] Method 2: Based on the minimum interference clustering method [0006] First determine the number of clusters N. At first, each small base station is rega...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/10H04W16/18H04W16/22
CPCH04W16/10H04W16/18H04W16/22H04W16/02H04W72/23H04W72/541H04W16/32
Inventor 王碧琰王华俊李凯杨旸王海峰
Owner SHANGHAI RES CENT FOR WIRELESS COMM
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