Heterogeneous network vertical switching algorithm and system based on multi-objective optimization model

Abstract

The invention relates to the technical field of heterogeneous networks. The invention discloses a heterogeneous network vertical switching algorithm and system based on a multi-objective optimizationmodel. In order to improve the resource utilization rate of a heterogeneous network system and ensure the service quality requirement of a user, the algorithm comprises the following steps: calculating Gittins indexes reflecting the performance characteristics of each base station in different states in the heterogeneous network according to related parameters, and generating a Gittins matrix in the heterogeneous network; calculating a transmission rate matrix and an error rate matrix of the user before switching execution; setting a matrix variable for reflecting a user switching strategy; constructing a multi-objective optimization model by taking the Gittins matrix, the transmission rate matrix and the bit error rate matrix as parameters and taking matrix variables as decision variables; and solving a matrix variable in the multi-objective optimization model to determine an optimal switching strategy.

Description

technical field [0001] The invention relates to the technical field of heterogeneous networks, in particular to a heterogeneous network vertical switching algorithm and system based on a multi-objective optimization model. Background technique [0002] With the development of wireless network technology, the integration of multi-standard wireless networks will become the mainstream. Different types of wireless networks overlap and cover to form a heterogeneous network. Users in a heterogeneous network can connect to different standard networks to obtain different services. Experience, users always choose the best network for access to obtain good service quality. In a heterogeneous network environment, users often need to switch between networks of different standards. This technology of switching between networks of different standards is called vertical switching. Vertical handover is an important technology to solve the integration barriers of heterogeneous wireless netw...

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Problems solved by technology

[0003] So far, there have been many studies on vertical handover algorithms. The common vertical handover algorithms can be divided into four categories. The first category is the vertical handover algorithm based on received signal strength. Vertical handover will cause a ping-pong effect, and for handover in a heterogeneous network environment, the characteristics of different access networks are very different. At this time, only performing handover based on signal strength cannot accurately make the terminal access to the optimal network. Middle; the second type is the multi-attribute decision-making algorithm. This type of algorithm constructs the corresponding effect function or cost function by selecting the terminal decision attributes that affect the user's service needs, and finds the optimal network for access. The design is simple and has higher reliability than a single vertical switching algorithm based on received signal strength, so it has been widely used and researched, but its flexibility is poor, and the dynamic change characteristics of the network state are not considered; the third The class is a switching algorithm based on artificial intelligence. This type of vertical switching algorithm is suitable for switching scenarios involving many difficult-to-quantify decision factors. By inputting the sample values ​​of network parameters into the fuzzy inference system (Fuzzy Inference System, FIS) or neural network processing, and switch judgments based on system output

This type of algorithm has high judgment accuracy, but lacks consideration of the coordination between users, and the calculation of fuzzy logic and artificial neural network is complex, so it is not suitable for terminal devices with limited computing power; the fourth type is the vertical algorithm based on Markov decision process. Handover algorithm, this type of algorithm quantifies the state of the network at different times by introducing a value function, so that the handover user can grasp the dynamic change characteristics of the network state in real time, which ensures that the user can access the network with low blocking rate and low delay. network, but lack of consideration of service requirements on the user side

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