Method for determining downlink channel precoding matrix, base station and user equipment

Abstract

Embodiments of the present invention provide a method for determining a downlink channel precoding matrix, a base station, and a user equipment (UE). In the method provided in this embodiment, a base station sends a downlink reference signal to each UE, so that each UE performs channel estimation to acquire a downlink channel matrix Hi, determines Ki feedback precoding matrices according to the downlink channel matrix Hi, and adopts a reverse precoding matrix to perform precoding on an uplink reference signal and then returns Ki feedback reference signals to the base station, and the base station determines a downlink precoding matrix of each UE according to Ki reference signals returned by each UE. Because each UE only needs to return Ki uplink feedback reference signals to perform channel estimation, and the number Ki of the uplink feedback reference signals is smaller than or equal to the number of antennas of the UE; and therefore, a feedback overhead of an uplink reference signal can be reduced, so as to improve a spectrum utilization rate.

Description

technical field [0001] Embodiments of the present invention relate to data communication technologies, and in particular to a method for determining a downlink channel precoding matrix, a base station and user equipment. Background technique [0002] The rapid development of mobile user demands puts higher and higher requirements on the capacity of mobile communication networks. An effective way to improve mobile communication networks is to increase spectrum efficiency. Multiple-Input Multiple-Output (MIMO for short) antenna technology can improve the capacity of the mobile communication network. The use of precoding technology in the MIMO system can effectively improve the receiving performance of the system. In order to obtain the precoding matrix of the downlink channel, it is necessary Sending a large number of reference signals and feedback signals in the air consumes a large amount of available spectrum resources. [0003] In the prior art, one manner is that a base ...

AI Technical Summary

Problems solved by technology

Since SRS is a reference signal for channel measurement, and in order to accurately measure frequency selective channels, the pilot frequency of SRS needs to be very dense, so the overhead consumed by SRS is very large

In order to measure a complete MIMO channel, each antenna of the UE must send SRS separately, so as the number of UE antennas increases, the overhead consumed by SRS will further increase linearly

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