Admission control method and system in heterogeneous wireless network environment

Abstract

The invention discloses an admission control method and an admission control system in a heterogeneous wireless network environment. The method comprises the following steps of: when an access request is received, collecting the multi-domain information of each network and acquiring a target quality of experience (QoE) vector of a user in the access request by using an admission control entity; performing granularity partition on the information of each attribute domain in the multi-domain information according to a predefined performance index to form information granularity vectors of each attribute domain; according to the target QoE vector of a user terminal and a predefined fuzzy membership function, establishing fuzzy membership grade vectors of resource grains in each attribute domain; based on fuzzy evaluation vectors and inference rules of the resource grains in each attribute domain, establishing mapping relationships between the fuzzy evaluation vectors of the resource grains in each attribute domain and a network comprehensive evaluation index so as to acquire a comprehensive evaluation vector; and according to comprehensive evaluation, selecting the network having the highest network grade of service as an access network. Through the method and the system, an effective admission control strategy is designed for the heterogeneous wireless network and the overall performance of the heterogeneous wireless network is improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an admission control method and system in a heterogeneous wireless network environment. Background technique [0002] With the development of various wireless access technologies and the diversity of business requirements, the future B3G and 4G networks will be a complex network environment characterized by heterogeneity. At the same time, due to the development of digital signal decision-making technology, chip integration technology and radio frequency technology, the ability to access multiple networks has become an important trend in the future development of smart terminals. How to rationally utilize network heterogeneity to optimize overall system performance and provide users with the best seamless service experience is a hot topic in current heterogeneous network research. [0003] In order to achieve adaptability to multi-domain environments, the system n...

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Problems solved by technology

[0004] Existing research on admission control of heterogeneous networks is mainly aimed at joint admission control between two single-service networks, which maximizes system utility under the premise of ensuring service QoS, such as the topic published by Fei Yu and Vikram Krishnamurthy "Optimal Voice Admission Control Performance under Soft Vertical Handoff in Loosely Coupled 3G / WLAN Networks" for "Optimal JointSession Admission Control in Integrated WLAN and CDMA CellularNetworks with Vertical Handoff" and Ben Ali.R, Pierre.S, published There is an algorithm that considers multiple services on two networks, but the algorithm has poor scalability and high complexity, which is not conducive to practical application; the consideration of service QoS in the existing algorithm is only to select a few representative indicators (SNR, delay, etc.) , and the business content in the heterogeneous network in the future is rich and diverse, it is necessary to evaluate the user's comprehensive experience of the heterogeneous network service, that is, QoE (Quality of Experience); therefore, the existing QoS guarantee algorithm is not suitable for multi-network, multi-dimensional, multi- Domain Information Scenario Application

[0005] In addition, when constructing a multi-granularity resource space and studying the relationship between resource particles, it is often impossible to accurately define the equivalence between network resources, but to study the approximation between network resources; at the same time, the user's perception of QoE It has the characteristics of fuzziness, the certainty and uncertainty of information, and the clarity and fuzziness of concepts are also relative

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