期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 18, 期 10, 页码 7128-7138出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2022.3146166
关键词
Distance measurement; Antenna arrays; Three-dimensional displays; Production facilities; Array signal processing; 5G mobile communication; Wireless communication; 3-D statistical channel model; B5G systems; Industry 5; 0; massive multi-input and multi-output (mMIMO); millimeter-wave (mmWave) propagation
类别
资金
- Swedish Knowledge Foundation in research profile NIIT
This article investigates the channel modeling of mmWave-B5G systems in indoor factory environments. A 3-D stochastic channel model is implemented using the time-cluster spatial-lobe technique to reflect realistic indoor conditions. The performance analysis of the system is presented based on the generated channel impulse response.
5G-and-beyond (B5G) networks are moving toward the higher end of the millimeter-wave (mmWave) spectrum (i.e., from 25 to 100 GHz) to support integrated communications and ranging (ICAR) services in next-generation factory deployments. The ICAR services in factory deployments require extreme bandwidth/capacity and large ranging coverage, which a mmWave-B5G system can fulfill using massive multi-input and multioutput (mMIMO), beamforming, and advanced ranging techniques. However, as mmWave signal propagation is sensitive to harsh channel conditions experienced in typical indoor factory environments, there is a growing interest in the realistic mmWave indoor channel modeling to evaluate the practical scope of the mmWave-B5G systems. In this article, we study and implement a 3-D stochastic channel model using the baseline third-generation partnership project model. Our channel model employs the time-cluster spatial-lobe (TCSL) technique and utilizes the temporal and spatial statistics to create the channel impulse response (CIR), reflecting realistic indoor factory conditions. Using the generated CIR, we present the performance analysis of an mmWave-B5G system in terms of power delay profile, path loss, communication and ranging coverage, and mMIMO channel capacity.
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