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Method for predicating position of mobile user in WCDMA (Wideband Code Division Multiple Access) and WLAN (Wireless Local Area Network) heterogeneous network environment
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A technology for heterogeneous networks and mobile users, applied in electrical components, wireless communications, etc., can solve the problems of complex decision-making algorithms for mobile user location prediction, and achieve the effects of reducing prediction overhead, stable performance, and improving prediction accuracy.
Active Publication Date: 2013-06-12
HARBIN INST OF TECH
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[0005] The purpose of the present invention is to improve the accuracy of mobile user position prediction, to solve the problem of complex decision-making algorithms for mobile user position prediction in dual coverage areas, and propose a mobile user position prediction method in a WCDMA and WLAN heterogeneous network environment
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specific Embodiment approach 1
[0034] Embodiment 1: Combining figure 1 and figure 2 Describe this embodiment:
[0035] The method for predicting the location of a mobile user in a WCDMA and WLAN heterogeneous network environment of this embodiment is implemented according to the following steps:
[0036] 1. Divide the dual coverage area into different sensitive areas
[0037] The dual coverage area is divided into three different sensitive areas: a central area, an annular area and a border area according to the different positions of the mobile user; wherein, the central area is the minimum distance D between the user and the boundary of the dual coverage area now A circular area greater than D, the annular area being the minimum distance D from the boundary of the dual coverage area now An annular area less than D and greater than d, the boundary area being the minimum distance D from the dual coverage area boundary now A region less than d, where D>d;
[0038] Wherein, the values of D and d are d...
specific Embodiment approach 2
[0066] Embodiment 2: The difference between this embodiment and Embodiment 1 is that in step 3, S' pre (n+1)=P(t n+1 ); where, P(t)=a 0 t 0 +a 1 t 1 +a 2 t 2 +…+a k t k , t is the prediction time, a i is the coefficient, set t=t n+1 Substitute into P(t) to get S' pre (n+1). Other steps and parameters are the same as in the first embodiment.
specific Embodiment approach 3
[0067] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that the coefficient a i Using the principle of least variance to treat each ai as a variable and differentiate the equations separately, the following equations can be obtained:
[0068]
[0069] Use the Gaussian exclusion method to solve the system of equations, and solve each coefficient a i The value of , where k represents the highest power, H represents the position information of H moments, R h is the real value of the user at the hth prediction time. Other steps and parameters are the same as in the first or second embodiment.
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Abstract
The invention provides a method for predicating the position of a mobile user in a WCDMA (WidebandCode Division Multiple Access) and WLAN (WirelessLocal Area Network) heterogeneous network environment and relates to a method for predicating the position of a mobile user in a bicovering region in a WCDMA and WLAN heterogeneous network environment. To improve the mobile user position predication accuracy so as to solve the problem that the decisionmaking algorithm for predicating the position of the mobile user in the bicovering region is complex, the invention provides the method for predicating the position of the mobile user in the WCDMA and WLAN heterogeneous network environment. The method comprises the following steps of: 1, dividing the bicovering regions into different sensitive regions; 2, calculating the probability that a user shifts out the current cell; 3 predicating the position of the user; and 4, judging whether the next period is coming, namely finishing the predication of the position of the mobile user in the WCDMA and WLAN heterogeneous network environment. The method provided by the invention is applied to the field of wireless heterogeneous networks in communication systems.
Description
technical field [0001] The invention relates to a position prediction method for mobile users in dual coverage areas in a WCDMA and WLAN heterogeneous network environment, and belongs to the field of wireless heterogeneous networks in communication systems. Background technique [0002] More and more wireless network forms continue to appear, but it is difficult to have a single network that can meet all the wireless service needs of users. Therefore, the coexistence of wireless heterogeneous networks is an inevitable new trend in the development of next-generation wireless networks. How to use the complementary characteristics of various heterogeneous networks to provide users with higher-quality and cheaper wireless network services is a question for scholars in various fields, including operators business are very concerned about. [0003] The accuracy of mobile user location prediction methods in heterogeneous networks is particularly important in heterogeneous networks...
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