MassiveMIMO channel modeling method based on measured data

Abstract

The invention belongs to the technical field of a multiple-input-multiple-output system and discloses a MassiveMIMO channel modeling method based on measured data. According to the method, a confocal elliptical model is established, and base station and dipole parameters are set; a birth and death rate of a scattering cluster is acquired according to the measured data to acquire a nine-state Markov chain state transfer probability matrix, an evolution process of the scattering cluster on an antenna array axis is described through utilizing a Markov chain, and characteristic parameters of each scattering cluster are distributed; and lastly, according to the geometric position relationships among the parameters, phase and Doppler frequency under the stadia and non-stadia conditions can be calculated, and channel impulse response is generated. The method is advantaged in that the birth and death process of the scattering cluster on the antenna array can be accurately described, non-stationary characteristics of a MassiveMIMO channel is reflected, spherical wave characteristics can be described, moreover, computational complexity is relatively low, the channel impulse response can be generated in relatively short time, and channel simulation efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of multiple-input multiple-output systems, and in particular relates to a MassiveMIMO channel modeling method based on measured data. Background technique [0002] With the widespread popularization of intelligent terminals such as smartphones and tablet computers, and the continuous promotion and use of high-definition services and multimedia services on the Internet, the demand for wireless data services has shown explosive growth. Spectrum efficiency, power efficiency and capacity performance of wireless communication systems put forward higher requirements. According to authoritative forecasts, the amount of mobile wireless communication data will increase several hundred times in the next ten years. In such an application background, the traditional multiple-input multiple-output (MIMO) technology can no longer meet the exponentially increasing demand for wireless data, and the Massive MIMO technology ...

AI Technical Summary

Problems solved by technology

Also in Massive MIMO technology, each antenna element can observe different cluster sets, that is, some clusters are visible on the antenna array, some clusters are invisible, and there are scattering clusters appearing and disappearing, which is also related to The difference between traditional MIMO technology, so the wide and stable channel response on the antenna array in Massive MIMO technology is no longer true

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