Switch method, device and system in communication network
A communication network and network technology, applied in the field of network communication, can solve the problems of obtaining balance, decreasing user satisfaction, affecting normal communication of users, etc., achieving the effect of balancing network efficiency, improving effectiveness, and ensuring rationality
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Embodiment 1
[0088] The embodiments of the present invention may be specifically applied to, but not limited to, a handover process of a heterogeneous network, so as to implement fuzzy decision processing in the corresponding handover process.
[0089] Such as Image 6 As shown, based on the division results of the handover levels in the source network and the target network, and the division results of the variable types, the handover processing process including fuzzy decision processing provided by the first embodiment may specifically include the following steps:
[0090] In step 1, the user terminal and the source network measure various measurement values to obtain corresponding handover condition variables.
[0091] Step 2, when the handover condition variable obtained in step 1 satisfies the condition of handover decision triggering, a handover decision triggering will be initiated.
[0092] Step 3: Query and judge whether the target network conforms to the MUST NOT handover sta...
Embodiment 2
[0105] In the second embodiment, specifically, a centralized decision table may be established in the comprehensive fuzzy decision maker, and handover decision processing is performed according to the centralized decision table.
[0106] Specifically, the centralized decision table (or fuzzy rule table) is centrally set in the source network as a large database. Assuming that in a heterogeneous network with overlapping coverage, the source network only considers the traffic volume, battery power and mobile speed, while the target network does not consider the information of the user terminal, but only considers the traffic volume as an example, then the corresponding centralized decision-making The table is shown in Table 3:
[0107] table 3
[0108]
[0109] In Table 3, the abscissa represents the traffic volume of the target network, which are normal, generally high, very high, and very high, respectively; the ordinate represents the traffic volume of the source network,...
Embodiment 3
[0121] In the third embodiment, specifically, the decision table of the source network can be established in the source fuzzy decision maker, and the decision table of the target network can be established in the target fuzzy decision maker, and according to the decision table of the source network and the decision table of the target network Interact between the source fuzzy decision maker and the target fuzzy decision maker for corresponding switching decision processing.
[0122] That is to say, the corresponding decision table (or fuzzy rule table) can also exist in the source network and the target network in a distributed manner, which are respectively called the decision table of the source network (or the fuzzy rule table of the source network) and The decision table of the target network (or the fuzzy rule table of the target network). Assuming that in a heterogeneous network with overlapping coverage, the source network only considers traffic, battery power and movin...
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