Method for carrying out adaptive optimization switching on group services based on demand prediction and priority

A technology for group business and demand forecasting, applied in electrical components, wireless communications, etc., can solve problems such as increased complexity, difficulty, and inapplicability, and achieve the effects of increasing switching gain, improving efficiency, and improving switching efficiency.

Inactive Publication Date: 2009-08-26
TONGJI UNIV
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Problems solved by technology

In the same space, the differences of different networks, user preferences, multi-mode of terminals, diversity of business requirements, and unpredictability of the environment are added. Compared with the handover process in the same network, t

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  • Method for carrying out adaptive optimization switching on group services based on demand prediction and priority
  • Method for carrying out adaptive optimization switching on group services based on demand prediction and priority
  • Method for carrying out adaptive optimization switching on group services based on demand prediction and priority

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings.

[0034] The applicable scenarios considered by the present invention are large public places with a lot of people, such as waiting rooms, libraries, and hypermarkets. The types of heterogeneous networks considered are not limited. Here, Bluetooth, 802.11, and 802.16 are selected as examples for illustration, that is, the multi-mode capability of the terminal has the above three access methods, and the types of services considered are also diverse.

[0035] Consider a typical heterogeneous network switching scenario, where Bluetooth, 802.11, and 802.16 access points exist in the same spatial location, and there are more than one access points of the same network. In order to accommodate the three heterogeneous access technologies, an 802.21 switching server is added to coordinate and coordinate switching decisions. The AHP weight matrix database...

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Abstract

The invention relates to a method for carrying out adaptive optimization switching on group services based on demand prediction and priority and belongs to the technical field of broad band wireless communication. The method can be applied to that various heterogeneous networks can synchronously exist in the same space, and a mobile terminal has multi-module functions and can run different services synchronously. The method comprises: positioning a switching object onto the services, setting two kinds of preswitching demand threshold, calling relative weight matrixes in an analytic hierarchy process weight matrix database according to the factors, such as service quality, terminals, service types, terminal modes, switching requirements and the like, and comparing the matrixes after multiplication and addition to acquire priority queue of the services to be preswitched. The preswitched services are divided into groups according to priority dynamic state at the same time, the analytic hierarchy process weight matrix is used, and the adaptive optimization switching is selected by considering network internal influence factors, service priority, network selectable priority and the like. The switching result has a feedback function for the network selectable weight used for the next switching selection, and the method improves the switching efficiency and network gain.

Description

technical field [0001] The invention belongs to the field of broadband wireless communication, and relates to a handover technology, in particular to a group business adaptive optimization handover method based on demand prediction and priority, which can be widely used in the future wireless communication field. Background technique [0002] The future direction of wireless mobile communication development will be that various wireless access technologies and standard interconnections complement each other to provide users with ubiquitous and ubiquitous information and communication services. The topology structure of the next generation mobile communication network will gradually evolve into a multi-level, overlapping three-dimensional network structure. Different types of access networks exist in the same space, and they have their own characteristics and suitable application occasions. When users adopt different access technologies, they will be treated as a single clie...

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Application Information

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IPC IPC(8): H04W36/00H04W74/00
Inventor 徐晓王平刘富强王新红李志鹏高智伟单联海赵雪祖立军
Owner TONGJI UNIV
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