Access Network Selection for Decision-Making probability in Access Network Technology

There are many areas worth learning about the access network technology. Here we mainly introduce the access network selection of Decision-making probability in the access network technology. In a heterogeneous wireless network system, users who use multimode or mode-changing terminals prefer to select the most suitable access network technology to carry their businesses. However, how to select the most suitable access network technology among the many wireless access technologies is a problem to be studied.

Existing solutions proposed in the literature, such as random selection algorithms, high-bandwidth priority selection algorithms, fuzzy logic-based algorithms, and hierarchical analysis and gray correlation algorithms, the customer's satisfaction with the service quality provided by the network is ignored. In addition, users will consider both service quality and price. Based on the above reasons, this paper proposes the concept of Decision-making probability on the basis of comprehensive consideration of user satisfaction, price, and relative link quality. The decision-making probability describes the degree to which a user is willing to select a network.

Decision Probability

In order to use mathematical methods to describe the user's satisfaction with QoS provided by wireless networks, the concept of satisfaction function is introduced first. Use Function S6) to indicate user satisfaction. In fact, it maps parameters related to service quality to the real number field. In a system composed of M heterogeneous wireless networks, vector B = b1 ,..., (BM) indicates the QoS parameters that the M network provides for users. Therefore, if users use services of different networks, they will have different QoS experiences, and different QoS experiences will correspond to different QoS satisfaction levels.

Where l is a positive constant. The last condition in the preceding formula indicates that when the QoS parameter is beyond a certain range, the user will no longer be sensitive to QoS parameter improvement, and the user will no longer increase their satisfaction due to the improvement of the network service quality. In this article, the network access network technology is used as an example to describe the service quality. However, the concept of satisfaction can be widely applied to other QoS parameters provided by the network, not limited to the access network technology.

In fact, user satisfaction is related to the type of business used by the user. For the simplest business, such as the voice service, we generally think that there are only two values of user satisfaction, namely full satisfaction and full dissatisfaction. For the next generation of grouping-based multimedia businesses, this satisfaction rate considering only two discrete values will no longer apply. For this type of business, continuous functions are used to model user satisfaction. Second, if the price changes, the user's perception of the business cannot not change. In the previous article, user satisfaction is a function of QoS. Here, the price is also expressed as a QoS function. According to the context, the QoS parameter is the bandwidth of the receiver provided by the network. Generally, the price of the Service pjbj provided by network j is only related to the access network technology allocated to users by network j.

In addition to the satisfaction and price, users should also consider the quality of the communication link with the network when selecting the network. Use Delta j to represent the relative communication link quality value of the access network technology of the terminal and Network j. This parameter value is determined by the quality of the communication link between the user and the Network j and the quality of the communication link between the user and other networks. Delta j must meet the following conditions: qi indicates the quality of the communication link between the user and network I. It is worth noting that different users will detect different relative link quality Delta values. According to the definition of Delta j, the higher the value, the better the quality of the communication link between the user and the Network j.

In fact, only when the service quality and price are acceptable can users be satisfied with the services provided by the network. Only when the communication link between the terminal and the network access network technology is of good quality can the user establish a connection with the network. Considering these three factors, this paper proposes the concept of decision probability. The probability of Decision-Making indicates the probability of a user accepting network services. For Network j, the decision probability is defined as Ajsj, pj, Delta j). This value reflects the probability value of the service that the user decides to use network j. In fact, this value increases with QoS satisfaction and relative link quality, and decreases with price increase, that is, Ajsj, pj, and delta j.

Among them, C, μ, ε, is a positive constant, and pmax is the maximum price. In fact, due to system capacity limitations, the bandwidth provided by the Network for users is not infinitely large, so the network charges will not be infinitely large. Therefore, the maximum price is exists and pmax is <∞. The selected function form also has a certain relationship with the requirements curve of the common data-Douglas in economics. In fact, the decision probability Aisj, pj, Delta j) can be any function that satisfies the conditional 4)-type 7), that is, the conclusion obtained in this paper is not limited to formula 8).