Outage probability performance prediction method for mobile communication system

Abstract

The invention discloses a method for predicting the outage probability performance of a mobile cooperative communication system. Based on the multi-transmit and multi-receive and hybrid decoding, amplification and forwarding cooperative communication technologies, a mobile cooperative communication system model is established, an optimal mobile relay node is selected, and a mobile information source is selected. When the signal-to-noise ratio of the link to the optimal mobile relay node is greater than the signal-to-noise ratio threshold, the decoding and forwarding strategy is used to forward the mobile source signal to the destination, and when it is smaller than the signal-to-noise ratio, the amplification and forwarding strategy is used to forward the signal to the destination. A transmission antenna selection scheme, respectively deduces the closed expressions of the outage probability of its mobile cooperative communication system, and uses neural networks to intelligently predict the outage probability performance of the physical layer of mobile communication, which is consistent with the existing extreme learning machine, local weighted linear The methods of regression, support vector machine, generalized regression neural network and radial basis function neural network are compared, and better performance prediction effect of outage probability is achieved.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a method for predicting the outage probability performance of a mobile communication system. Background technique [0002] In recent years, with the development of the fifth-generation mobile communication technology, multi-user mobile collaborative communication has received extensive attention; with the development of mobile Internet of Things services, the number of mobile users has grown explosively. The requirements of mobile users for the data rate and service quality of wireless transmission are constantly improving, and in many complex and changeable communication environments (such as indoors and around urban high-rise buildings), mobile communications face rapid changes in channel status, antenna array beamforming targets Problems such as positioning difficulties, which bring technical challenges to researchers. Therefore, in the complex and ch...

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Problems solved by technology

[0003] Large-scale multiple input multiple output (MIMO) technology and cooperative diversity are effective methods to improve communication system performance; system performance and resource allocation research in the prior art are all based on traditional channels such as Rayleigh and Nakagami. However, the complex and changeable communication environment brings great challenges to multi-user communication. Traditional channels such as Rayleigh and Nakagami cannot effectively represent the complex and changeable mobile communication environment.

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