Network selection method based on user experience QoE

Abstract

The invention discloses a network selection method using ordinal utility to evaluate user experience QoE, and mainly solves problems that user experience QoE is neglected and that network resource utilization rate is low in former network selection methods. Steps to realize the method are as followed: collecting state information of each network to form a network original information list; calculating service acceptance indexes of the network to form a network acceptance information list; user equipment receiving the network acceptance information list broadcasted by the network, and screening signal strength; calculating grade of membership of the service to form a network grade of membership information list; calculating impact factors of key quality indexes on the service to form a network key quality index information list; recording user preference information; calculating utility indexes of the network on the service to form a network utility information list; and using the ordinal utility method to obtain a candidate access network information list. The method can improve user experience QoE, equalize network load and increase utilization rate of network resources. The method can be used in network selection in a heterogeneous wireless network scenario.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, relates to a network selection method, and can be used in heterogeneous wireless networks. Background technique [0002] In a complex heterogeneous wireless network environment, a reasonable network selection method can not only make full use of the overall network resources, but also improve user service experience. Therefore, research on network selection algorithms in heterogeneous wireless networks has also become one of the current research hotspots. Compared with the traditional single and homogeneous network admission control, in the heterogeneous network convergence scenario, the network admission control mode is no longer limited to centralized management, and distributed management can also be adopted. Generally speaking, network admission control in a heterogeneous wireless network is mainly the management of access rights, while the management of wireless transmission ...

AI Technical Summary

Problems solved by technology

[0004] (1) Network selection method based on service type. This selection strategy is based on direct mapping between services and networks. This method assigns voice services and data services to different networks through rigid classification of network services. Although this method is implemented in a process Simple, but does not consider user experience QoE and load balancing between heterogeneous networks, so it is very likely that some networks are very congested and other networks are very idle in each heterogeneous network, resulting in poor user experience QoE and waste of network resources;

[0005] (2) The network selection method based on load balancing. Load balancing is another feasible guiding principle for resource allocation. The network selection strategy based on load balancing will distribute the load evenly to each network as much as possible. This method uses load parameter measurement The load situation is used as the decision basis for load balancing, that is, the network with the lowest load will be selected every time the network is selected. This method can balance the load among various heterogeneous networks to a certain extent, so that network resources can be used more efficiently. However, this method does not consider specific services, so it is likely that some networks may carry services that are not suitable for the characteristics of the network, resulting in poor user experience QoE and low efficiency of network resource usage;

[0006] (3) A network selection method based on wireless network characteristics. This selection strategy is based on the fact that different services consume different amounts of resources in different networks. This method can match the service requirements of specific services and network characteristics to a certain extent. However, this method does not take into account the service costs of different services in actual network operations, so it is likely that the business service quality QoS is high, but the user experience QoE is low, because not all users are willing Spend a lot of money to guarantee its business service quality QoS;

[0007] (4) A joint session admission control method based on fuzzy neural theory. In this method, the system design is complex, and the definition of fuzzy inference rules and the parameter selection of fuzzification / defuzzification functions largely rely on human subjective wishes. When the system considers many network factors, user factors, and business factors, it is difficult to guarantee the efficiency of system implementation and execution, and the complex network selection process can only be performed on the network side, which will increase the investment and operation and maintenance costs of network operators. Therefore, it is more reasonable to place the network selection execution process on the user terminal.

[0012] The network selection method based on service type does not consider the user experience QoE and load balancing, resulting in low user experience QoE and low utilization of network resources; the network selection method based on load balancing does not consider the user experience QoE and the relationship between specific services and different networks Corresponding relationship, resulting in low user experience QoE and low efficiency of network resource utilization; network selection method based on wireless network characteristics does not consider user experience QoE and load balancing, resulting in low user experience QoE and low network resource utilization; based on fuzzy The joint session admission control method based on neural theory, the system design is complex, subject to human subjective influence, the more factors are considered in the system design process, although it can guarantee the user experience QoE and network resource utilization, but the system design and execution efficiency is very low Difficult to guarantee

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