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Mobility prediction method based on fuzzy clustering in outdoor crowded places

A fuzzy clustering, crowd-intensive technology, applied in location-based services, electrical components, wireless communications, etc., can solve problems such as inapplicability of prediction models, and achieve the effect of increasing residence time and reducing the number of handovers

Active Publication Date: 2017-12-01
BEIJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0008] Aiming at mobility prediction in outdoor crowded places, the present invention proposes a mobility prediction method based on fuzzy clustering in outdoor crowded places in order to solve the problem that existing prediction models are not applicable

Method used

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  • Mobility prediction method based on fuzzy clustering in outdoor crowded places
  • Mobility prediction method based on fuzzy clustering in outdoor crowded places

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Embodiment

[0067] Such as figure 1 As shown in the figure, in a campus with dense crowds, a small base station (Small-cell Base Station, SBS) is deployed in this area, with a coverage range of 100m. Mobile user trajectories are extracted from Reference [3] (Reference 3: I.Rhee, M.Shin, S.Hong, K.Lee, S.Kim, and S.Chong, “Crawdad dataset ncsu / mobilitymodels,” downloaded from The user data in http: / / crawdad.org / crawdad / ncsu / mobilitymodels / 20090723 / ,Jul2009.) records the user's location coordinates every 30 seconds. According to the comparison of simulation performance, user trajectories in this scenario are divided into 6 groups, and the number of handovers of users in each area and the residence time in each cell are counted.

[0068] In order to prove the performance of the Mobility Prediction Optimized Handover Scheme (MPSDM) proposed in this paper, two handover mechanisms are selected for comparison.

[0069] Mechanism 1 (MP-IUM): This scheme is based on the mobility characteristics ...

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Abstract

The invention provides a mobility prediction method based on fuzzy clustering in outdoor crowded places, and belongs to the field of mobile communication technology. The scene is divided into several prediction regions, and the prediction time is divided into several time periods, user moving trajectories are divided into different groups within each prediction region according to the prediction time, irregular trajectories are removed in a sequence mode, a sequence in a frequency mobility mode is found, the position of the next position is predicted by matching the user moving trajectories with a historical user moving trajectory, and thus the prediction accuracy is improved. By adoption of the mobility prediction method, the continuous communication service of the users in the outdoor crowded places is guaranteed, the unnecessary switching times are effectively reduced, and the user residence time is prolonged. According to the mobility prediction method, the user moving trajectories in the outdoor crowded places are analyzed and modeled to help to analyze and solve other related user behavior problems in the outdoor crowded places.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and specifically refers to a mobility prediction method based on fuzzy clustering in an outdoor crowded place. Background technique [0002] With the explosive growth of data traffic in outdoor densely populated areas, predicting user movement trajectories and behaviors can ensure the quality of service of communication networks in these areas, and the prediction results can be applied to network deployment planning, resource allocation, and mobility management. In crowded outdoor places, frequent movement of users will cause users to switch between different cells. In order to ensure continuous service, accurate prediction of user trajectories is used to optimize network resource allocation and ensure smooth switching. [0003] In outdoor crowded places, due to the huge number of users and complex and changeable user behavior characteristics, how to quickly predict the user's next l...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W24/06
CPCH04W4/021H04W4/029H04W24/06
Inventor 李曦杨鹏波纪红张鹤立
Owner BEIJING UNIV OF POSTS & TELECOMM
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