Cross-tier interference alignment method for cognitive heterogeneous cellular network based on polarization information processing

Abstract

The invention discloses a cross-tier interference alignment method for a cognitive heterogeneous cellular network based on polarization information processing. Two cross-tier interference in the cognitive heterogeneous cellular network is processed by utilizing polarization information processing and interference alignment principles, so that when the normal transmission in a macro cell is not influenced and the maximum system downlink capacity is kept, an error rate of signal transmission in a small cell is greatly reduced and the transmission reliability of the small cell against a multi-path fading channel and the cross-tier interference is improved. According to the method, a receiving polarization state of a small cell user is optimized, and a purpose of aligning the cross-tier interference of the macro cell on the small cell user to a zero space of a target signal is realized; a sending polarization state of a small cell base station is optimized, the cross-tier interference of the small cell on a macro cell user is aligned to the zero space of the target signal, the normal transmission of the macro cell user is ensured, and meanwhile, a signal transmission error of a small cellular network is greatly reduced.

Description

Technical field [0001] The invention belongs to the field of wireless communication, relates to a cognitive heterogeneous cellular network system, and specifically relates to a method for cross-layer interference alignment in a cognitive heterogeneous cellular network. Background technique [0002] With the development of wireless communication technology and the popularization of wireless communication equipment, wireless mobile communication networks are facing the problem that limited spectrum resources cannot meet the needs of a large number of services. In order to greatly increase the capacity of the cellular network and innovate the traditional macro-cellular network architecture, the deployment of low-power, frequency-reused small-cell nodes to form a heterogeneous cellular network has become a major development trend in the future. On the one hand, heterogeneous cellular networks effectively increase network capacity, achieve seamless coverage and improve edge user perfo...

AI Technical Summary

Problems solved by technology

[0004] In the cognitive heterogeneous cellular network environment, the research on processing cross-layer interference in the polarization domain according to the interference alignment criterion has an interference avoidance method based on blind polarization signal processing (BPIA, Interference Avoidance Scheme Basedon Blind Polarization Signal Processing) [1] and Polarization-based spectrum sharing scheme incognitive heterogeneous cellular network spectrum sharing method based on polarization information processing (PSS-CHCN, Polarization-based spectrum sharing scheme incognitive heterogeneous cellular network) [2] , the former only suppresses the interference from the small cell to the macro cell, while the latter not only suppresses the interference from the macro cell to the small cell, but also reduces the interference power from the small cell to the macro cell to ensure the normal operation of the macro cell, but neither of them can Meet the requirements of reducing the system error rate of the small cell network and improving transmission reliability

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