Heterogeneous network vertical switching algorithm and system based on multi-objective optimization model
A multi-objective optimization, heterogeneous network technology, applied in the field of heterogeneous network vertical switching algorithms and systems, can solve problems such as too simple design, very different access network characteristics, and complex computing of fuzzy logic and artificial neural networks.
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[0036] Example 1
[0037] Such as figure 1 As shown, this embodiment provides a heterogeneous network vertical handover algorithm based on a multi-objective optimization model, including the following steps:
[0038] S1: Calculate the Gittins index reflecting the performance characteristics of each base station in different states in the heterogeneous network according to related parameters, and generate the Gittins matrix in the heterogeneous network;
[0039] S2: Calculate the user's transmission rate matrix and bit error rate matrix before the handover is executed;
[0040] S3: Set up matrix variables to reflect the user switching strategy;
[0041] S4: Construct a multi-objective optimization model with Gittins matrix, transmission rate matrix and bit error rate matrix as parameters, and matrix variables as decision variables;
[0042] S5: Solve the matrix variables in the multi-objective optimization model to determine the optimal switching strategy.
[0043] The above-mentioned het...
Example Embodiment
[0109] Example 2
[0110] This embodiment provides a heterogeneous network vertical handover system based on a multi-objective optimization model, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes all The above steps are realized when the computer program is described.
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