A network slicing dynamic joint user association and power allocation method based on NOMA
A technology of network slicing and allocation method, applied in the field of dynamic joint user association and power allocation of network slicing based on NOMA, which can solve the problem of difficulty in obtaining perfect D channel state information, without considering the diversity of slicing service requirements, and without involving time variables, etc. problem to maximize network throughput
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[0049] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0050] See figure 1 As shown, figure 1 This is the user association flow chart. In each scheduling time slot, user association is a strategy for each user in the slice to associate with the RRH. The specific steps are:
[0051] Step 101: At the beginning of the current scheduling time slot, initialize parameters such as the number of remote radio head RRHs, the fronthaul link capacity of the RRH, and the correlation factor between the user and the RRH, and use the least mean square error channel estimation model to estimate all slices The wireless channel status information of the user in the current time slot.
[0052] Step 102: For users in all slices, calculate the weighted bandwidth SINR when each user is associated with all RRHs.
[0053] Step 103: Search for an RRH that can provide the user with the maximum weighted bandwidth SINR, and dete...
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