Broadband large-scale mimo system pilot pool and channel information acquisition method and system

Abstract

The invention provides a method and apparatus for obtaining a pilot pool and channel information of a broadband large-scale MIMO system. An uplink pilot pool and a downlink pilot pool are constructed by a Zadoff-Chu sequence and a sequence modulated by the same. A pilot signal sent over each sending port (an antenna or a wave beam) of each uplink user is selected from the uplink pilot pool, a base station side executes uplink pilot resource scheduling according to channel statistical information to determine the pilot signal sent over each sending port of each uplink user, users send uplink pilot signals on the same time-frequency resource at the same time, and the base station side estimates the uplink channel parameters of the users. A downlink pilot signal is sent in a wave beam domain, pilot sequences sent on wave beams are selected in the downlink pilot pool, the base station sends pilot signals on the wave beams at the same time, and the users estimate the channel parameters according to the received pilot signals. In moving processes of the users, pilot scheduling is dynamically executed with the changes of channel long time characteristics. By adoption of the method and apparatus provided by the invention, the pilot cost of the system can be greatly reduced, and the spectral efficiency and the power efficiency of a wireless communication system are improved.

Description

technical field [0001] The present invention relates to a wideband massive MIMO multi-user pilot design and a method and system for acquiring channel information, in particular to a multi-user uplink and downlink pilot design and channel information for a broadband multi-user massive MIMO system based on Zadoff-Chu sequence Access methods and systems. Background technique [0002] Massive MIMO has great advantages in improving power efficiency and spectral efficiency, suppressing interference, and robust transmission, and is one of the key technologies for future mobile communications. Orthogonal Frequency Division Multiplexing (OFDM) technology can decompose a wideband channel into multiple parallel narrowband channels, which is suitable for practical wireless propagation channels. The combination of massive MIMO and OFDM is one of the development trends of the next generation broadband mobile communication system. [0003] In an actual wireless communication system, in o...

AI Technical Summary

Problems solved by technology

At present, some structural measurement matrices have been studied, such as random convolution matrix, Toeplitz structure random matrix, random sequence modulation construction measurement matrix, etc., which reduce the randomness of the measurement matrix to a certain extent, but the randomness cannot be avoided, and the Not easy to extend into existing systems

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