CDL Channel Model: Revolutionizing Wireless Communication


Authors : Neha Kumari; Reemakshi Rajput; Shalini Sharma

Volume/Issue : Volume 8 - 2023, Issue 7 - July

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/54cwjrwc

DOI : https://doi.org/10.5281/zenodo.8216719

Abstract : This report provides an in-depthexploration of the CDL channel model and its significance in wireless communication systems. It starts by introducing the basics of radio propagation, including line-of-sight, diffraction, and reflection, which influence signal propagation in wireless environments. The concept of multipath propagation, where signals reach the receiver via multiple paths due to reflections and scattering, is then elucidated. Comparisons are drawn between the CDL model and other statistical channel models, such as Rayleigh andRician fading, to highlight the CDL model's unique capabilities in capturing complex channel behaviors. The key parameters of the CDL model, including delay spread, cluster delay, cluster power, and angular spread, are thoroughly examined, showcasing their implications on communication systems' performance. The CDL model proves to be a valuable tool in wireless channel characterization, this report also addresses its limitations and ongoing research efforts to enhance its accuracy and applicability in complex communication scenarios. As wireless communication continues to evolve, the CDL model remains an essential component in advancing global connectivity and shaping the digital landscape.

Keywords : Wireless Communication, Clustered Delay Line (CDL),Multipath Propagation, Channel Modeling, 5G Communication.

This report provides an in-depthexploration of the CDL channel model and its significance in wireless communication systems. It starts by introducing the basics of radio propagation, including line-of-sight, diffraction, and reflection, which influence signal propagation in wireless environments. The concept of multipath propagation, where signals reach the receiver via multiple paths due to reflections and scattering, is then elucidated. Comparisons are drawn between the CDL model and other statistical channel models, such as Rayleigh andRician fading, to highlight the CDL model's unique capabilities in capturing complex channel behaviors. The key parameters of the CDL model, including delay spread, cluster delay, cluster power, and angular spread, are thoroughly examined, showcasing their implications on communication systems' performance. The CDL model proves to be a valuable tool in wireless channel characterization, this report also addresses its limitations and ongoing research efforts to enhance its accuracy and applicability in complex communication scenarios. As wireless communication continues to evolve, the CDL model remains an essential component in advancing global connectivity and shaping the digital landscape.

Keywords : Wireless Communication, Clustered Delay Line (CDL),Multipath Propagation, Channel Modeling, 5G Communication.

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