Network optimization method for large-scale MIMO network and base station thereof
The present invention discloses a network optimization method for a large-scale MIMO network and a base station thereof. The base station enables, according to a user minimum SINR threshold of each user in a preset cell, instantaneous spectral efficiency of the cell at a specific moment to approximate or reach a maximum value. In the present invention, a newly added user minimum SINR threshold parameter is configured, and a characteristic of a concave function is used, so that average spectral efficiency and edge spectral efficiency of each cell are simply and effectively controlled, so as to achieve an objective of coordination adjustment of network capacity and network coverage.
1. A network optimization method for a large-scale MIMO network, comprising the following step:
after obtaining a user minimum SINR threshold in a preset cell, a base station selects a specific user, and estimates a SINR estimate of the specific user; the SINR estimate of the specific user is calculated according to the following formula:
SINR
=
T
/
(
N
+
I
)
Tr
(
PP
H
)
,
wherein T is a total transmitting power of the base station, N is a noise power, P is second-stage precoding, I is inter-cell interference and intra-cell interference, and a rank of PP H is a quantity K of scheduled users:
the base station schedules the users according to the user minimum SINR threshold, to have a cell-system spectral efficiency of the preset cell at a specific moment to approximate or reach a maximum value.
2. The network optimization method according to claim 1 , wherein
the cell-system spectral efficiency is a concave function of the user minimum SINR threshold and a quantity of scheduled users.
3. The network optimization method according to claim 2 , wherein
when the cell-system spectral efficiency at the specific moment reaches the maximum value, cell-system spectral efficiency and the cell-edge spectral efficiency reach a performance coordination point.
4. The network optimization method according to claim 1 , wherein
if the SINR estimate of the specific user is greater than or equal to the user minimum SINR threshold, the base station adds the specific user to a planned-to-be-scheduled-user set.
5. The network optimization method according to claim 4 , wherein
the base station calculates the SINR estimate of the specific user based on a channel matrix of planned-to-be-scheduled users in the planned-to-be-scheduled-user set and the specific user.
6. The network optimization method according to claim 1 , wherein
the base station selects a user whose downlink average SINR value is less than the user minimum SINR threshold, as a cell-edge user, to perform interference coordination.