LARGE-SCALE MIMO ROBUST PRECODING TRANSMISSION METHOD

摘要

Disclosed in the present invention is a large-scale MIMO robust precoding transmission method under imperfect channel state information. In the disclosed method, the imperfect channel state information acquired by a large-scale MIMO system base station is modeled as a posterior statistic channel model comprising information of a channel mean value and a channel variance. The model takes channel estimation error, channel ageing and space related impacts into consideration. According to the present invention, the base station performs robust precoding transmission by using the posterior statistic channel model, and thus the universality problem of the large-scale MIMO to various typical mobile scenes can be solved and high spectral efficiency can be obtained. The present invention uses the posterior statistic channel model comprising the information of a channel mean value and a channel variance to perform the robust precoding transmission, the used statistic channel model thus is more sufficient and accurate. Through the robust precoding method, a dimension-reduced transmission can be achieved; pilot frequency overhead required in data transmission can be reduced; the complexity for demodulation or detection is reduced; and overall transmission efficiency is improved.