Method and system for switching multi-input and multi-output modes of LTE system

Abstract

The invention discloses a method and a system for switching multi-input and multi-output modes of an LTE system. The method comprises the following steps: receiving a CQI (Channel Quality Indicator) parameter value and an RI parameter value reported by a user device; counting frequency in which the CQI parameter value which is continuously reported by the user device in a predetermined period is continuously larger than a channel quality indicator threshold, frequency in which the CQI parameter value which is continuously reported by the user device in the predetermined period is continuously smaller than or equal to the channel quality indicator threshold, frequency in which the RI parameter value which is continuously reported by the user device in the predetermined period is continuously larger than 1, and frequency in which the RI parameter value which is continuously reported by the user device in the predetermined period is continuously equal to 1; switching the multi-input and multi-output modes between an LTE base station and the user device according to counting results. According to the method and the system for switching multi-input and multi-output modes of the LTE system, a transmission mode which is most suitable for the channel state is selected according to CQI and RI which are recently reported by the user device, so that the probability that the regulation of the transmission mode cannot be effectively adaptive to the channel state of the user device caused by channel feedback time and feedback error can be reduced; the block error rate of the user device is retained at a reasonable level; the user satisfaction can be improved.

Description

【Technical field】 [0001] The invention relates to the field of communication technology, in particular to a method and system for switching multiple-input multiple-output modes of an LTE system. 【Background technique】 [0002] The Multiple Input Multiple Output (MIMO) mode adaptive algorithm is one of the very important radio resource management algorithms in the LTE (Long Term Evolution) system. Its main function is to judge whether to allow the user equipment to adjust its downlink according to certain criteria. The transmission mode of the road. Generally, the main considerations for adjusting the downlink transmission mode of the user equipment include downlink channel quality information and channel correlation between the base station and the user equipment. [0003] The downlink transmission mode can adopt two transmission modes, transmit diversity and spatial multiplexing. Compared with the spatial multiplexing mode, the transmit diversity mode has better performanc...

AI Technical Summary

Problems solved by technology

However, in the entire statistical period, if the RI value reported many times does not match the RI value of the current user equipment, the final selected transmission mode will not be suitable for the current channel environment of the user equipment.

In the prior art, there is also a method of selecting a transmission mode for the user by estimating the channel capacity and spectral efficiency, but this method involves the estimation of the channel capacity and spectral efficiency, which increases the complexity of the equipment, and the selection of the relevant threshold depends more on Simulation scene

[0005] For the problem that the selected RI value does not match the channel correlation of the current user, there is an improved method, that is, according to the CQI (Channel Quality Indicator, Channel Quality Indicator) reported by the terminal and the outer loop adjustment parameters maintained by the base station, the two channels are regularly estimated. The spectral efficiency of each transmission mode, and then select the transmission mode with high spectral efficiency as the currently scheduled transmission mode. Although this method solves the problem that the RI value selected by the base station for the user terminal is inconsistent with the RI of the current user due to inaccurate RI reported by the terminal. The problem of matching, but using the method of spectrum estimation, its computational complexity is high, and the system performance depends on the simulation results in each scenario

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