Pre-coding method on basis of multi-user MIMO (multi-input multi-output) systems

Abstract

The invention provides a pre-coding method on the basis of multi-user MIMO (multi-input multi-output) systems. The pre-coding method includes compiling codes of link algorithms in computational language MATLAB into C++ language functions for calling multi-user multi-input multi-output algorithms MU-MIMO in OPNET environments to generate signal-to-noise ratio-bit error ratio (SNR-BER) curves; building channel matrix models computed by the aid of the MU-MIMO in the OPNET environments and adding external functions into the channel matrix models; adding registration codes of base stations and mobile stations into the channel matrix models for computing the distances from the base stations and the mobile stations; adding global properties into the channel matrix models for allowing the channelmatrix models to be used under the control; dynamically acquiring SNR-BER curve values by the aid of the channel matrix models. The pre-coding method has the advantages that the throughput of channelscan be improved by the multi-user pre-coding method, the complexity of equipment at receiving ends can be lowered, and the transmission rates can be balanced between users.

Description

technical field [0001] The present invention relates to the technical field of multiple-input multiple-output (MIMO) wireless communication systems, in particular to a precoding method based on a multi-user MIMO system. Background technique [0002] So far, the bottleneck problem of multimedia wireless communication application is the problem of limited wireless spectrum bandwidth. In order to solve this problem, Smart Antenna (SA), Space Time Spread Spectrum (STS) technology and MIMO (Multiple Input Multiple Output) technology have been proposed successively to improve the utilization of wireless spectrum. Among these three technologies, although SA can fully utilize the spatial spectrum capacity, it is difficult for LTE base stations (BSs) to implement SA because it is difficult to provide independent spatial beams for each mobile station. In the uplink, in order to obtain spatially independent transmission streams, the STS mobile station needs to perform space-time codin...

AI Technical Summary

Problems solved by technology

This will greatly increase the implementation complexity and cost of the mobile station, and the more serious problem is: the small size of the mobile station cannot support the distance requirement between MIMO antennas: 10-15 times the carrier wavelength

However, if the distance between the multiple antennas of the mobile station is reduced, the MIMO channel will not be independent, which will lead to co-channel interference, which will seriously affect the communication quality and reduce the communication capacity.

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