An Efficient Hardware Generator for Massive Non-Stationary Fading Channels

Zikun Zhao, Qiuming Zhu, Kai Mao, Weiqiang Liu, Ning Li, Shuangyi Yan, Wei Huang

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

In this paper, a discrete non-stationary multipleinput multiple output (MIMO) channel model based on the sum of linear frequency modulation (SoLFM) method is proposed. The new model is suitable for generating non-stationary fading with continuous phase and accurate Doppler frequency. In order to implement the proposed model with large-scale antennas by field programmable gate array (FPGA) platform, an efficient coordinate rotation digital computer (CORDIC) method is proposed. By introducing a full parallel pipeline architecture, rotation factor state, and domain folding technique, the new generator can significantly reduce the hardware resource usage and meet the requirement of large-scale channel emulation. The measurement and analyze results show that the statistical properties, i.e., the probability density function (PDF) and autocorrelation function (ACF) of generated channels provide a good agreement to the theoretical ones.
Original languageEnglish
Title of host publicationIEEE GLOBECOM 2020 Workshops
Subtitle of host publication IEEE GLOBECOM 2020 Workshop on Wireless Propagation Channels for 5G and B5G
Place of PublicationTaipei, Taiwan
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages6
Number of pages1
Publication statusAccepted/In press - 19 Sep 2020
Event2020 IEEE Global Communications Conference: Communications for Human and Machine Intelligence - Taipei, Taiwan, Taipei, Taiwan
Duration: 7 Dec 202011 Dec 2020
https://globecom2020.ieee-globecom.org/
https://globecom2020.ieee-globecom.org/program/workshops

Conference

Conference2020 IEEE Global Communications Conference
CountryTaiwan
CityTaipei
Period7/12/2011/12/20
Internet address

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