LTE-R switching parameter selection method based on reinforcement learning
A technology of switching parameters and reinforcement learning, which is applied in the field of cognitive radio and intelligent transportation to achieve the effect of easy selection and improved switching performance
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[0034] Example 1
[0035] See attached figure 1 , It is a schematic diagram of users in the LTE-R network when they are handed over through neighboring base stations. When the user performs handover between the two base stations A and B, the vertical line in the middle is the handover boundary line that first disconnects the A base station and then accesses the B base station during the train handover. In the LTE-R system, its bandwidth is determined by the number of resource blocks.
[0036] See attached figure 2 , Which is a flowchart of a method for selecting LTE-R handover parameters based on reinforcement learning provided by the present invention; in this embodiment, the following steps are specifically included:
[0037] 1. Establish the topology of the base station.
[0038] According to the LTE-R structure, the base station's topological structure is established with the base station power, the distance between adjacent base stations, the bandwidth of the uplink and downlin...
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