Clustering method, resource allocation method and related equipment for base station cooperation

Abstract

The embodiment of the invention provides a clustering method for base station cooperation. The method comprises the following steps of: periodically acquiring a parameter summation influencing the statistical mean delay of users managed by a central controller at the period Tp by using the central controller; clustering base stations managed by the central controller by taking a clustering strategy adopted when the parameter summation is minimum; and transmitting base station clustering structure information obtained by the clustering to the base stations managed by the central controller. By the base station clustering method, system signaling overhead can be reduced, operation tasks can be separated, and difficulties in the implementation of the whole system can be greatly reduced at the same time of increasing the transmission rates of users on cluster edges, improve the user experiences and improve fairness for the users of the system.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a clustering method in base station cooperation, a resource allocation method and related equipment. Background technique [0002] Base station cooperation means that in a Co-Multi Input Multiple Output (Co-MIMO, Co-Multi Input Multi Output) system, multiple base stations cooperatively provide communication services for multiple mobile terminals at the same time by sharing data between base stations. Through base station cooperation, the Space Division Multiple Access (SDMA, Space Division Multiple Address) technology can not only effectively overcome the interference problem at the edge of the cell, but also turn the interference into a useful signal, further improving spectrum utilization. [0003] However, while base station cooperation brings the above-mentioned huge benefits, it also transfers more overhead to the network side. In this way, there will be problems that ...

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Problems solved by technology

However, this method is implemented on the premise that the overall performance of the network is unknown, and the assumptions are too strong, for example, based on the assumption that a base station can only be connected with one user, which obviously does not match the real application scenario of the network; and Each base station frequently updates the scheduling graph according to the change of channel information, which will also bring a long delay lag effect

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