MMWAVE PATH LOSS MODELING FOR 5G APPLICATIONS

Simple item page
dc.contributor.authorAskarov, Satzhan
dc.date.accessioned2024-06-20T10:38:09Z
dc.date.available2024-06-20T10:38:09Z
dc.date.issued2024-04-26
dc.description.abstractThis thesis examines the performance of outdoor communication systems, with special emphasis on the effects of adverse weather conditions like snowstorm, frequency bands, and modulation techniques Using Path Loss modeling through simulation and hardware experiments, thus this work provides a comprehensive insight into communicating mmWave's power challenges and capabilities in the field. Findings from the path loss simulator within the Nazarbayev University (NU) campus territory highlight the importance of carrier frequency selection and modulation order in outdoor communication systems. Frequencies from higher bands cover less area due to higher path loss, which underlines the importance of frequency band selection. It is revealed that modulation order influences coverage area within line-of-sight (LOS) zones as well. Hence, those lower orders give more coverage and higher orders enable greater bandwidth efficiency. Recommendations on modulation techniques can be based on geographical considerations and the density and activity levels of users. In this regard, QPSK modulation can be preferred for harsh environments and long distances, and orders higher are appropriate for high data rate transmission in densely populated areas. Hardware experiments in the 60 GHz mmWave channel are handled in indoor and outdoor environments during snowfall and windy weather. The received power is measured at different transmitter – receiver (T – R) distances and path loss results demonstrate similar to logarithmic growth for indoor and outdoor environments, yet the growth resembles exponential growth for distances larger than 7 meters in outdoor snowstorm circumstances. Outdoor path loss suffers more signal attenuation, which is conditioned by snow accumulation on antenna surface and the snowstorm environment itself. The path loss exponent (PLE) values discovered during experiments constitued 4.12 for outdoor snowstorm conditions and 2.77 for indoor lab environment. Repeated simulations using the obtained path loss parameters, i.e., PLE and shadow fading standard deviation inherent to snowy weather conditions illustrates considerable losses in coverage compared to the initial theoretical simulations. The work underscores the impracticality of the assumption that solely using base stations as uniform circular antenna arrays with omnidirectional transmission capabilites may be sufficient for the mmWave channels at 60 GHz to maintain proper power coverage in outdoor environment, especially during during snowstorms. Hence, initiatives like relay base stations and beamforming technology can be extremely useful in improving network resilience and robustness. Future extension of the work would include the following directions: improving base station designs from uniformly omnidirectional to circular sectorized cells; updating the digital NU campus map from 2D to 3D for more realistic and accurate simulations, and investigating advanced antenna placement strategies to shelter them from snowfall moisture without interfering their radiation pattern. Subsequent research should look on network traffic analysis to determine placement spots for the base stations and the needed number of them to effectively satisfy the user traffic demand under different modulation modes. Furthermore, to minimize the positive bias of the coverage results and to make them more realistic and useful, the campus map requires the integration of the building heights, so that the T – R distance parameter considers 3D T – R distance rather than 2D approximation.en_US
dc.identifier.citationAskarov, S. (2024). MMWAVE PATH LOSS MODELING FOR 5G APPLICATIONS. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7919
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectType of access: Embargoen_US
dc.subject5G technologyen_US
dc.subjectpath loss modellingen_US
dc.subjectmmWave technologyen_US
dc.subjectline of sighten_US
dc.subjectPath Loss Exponenten_US
dc.subjectQuadrature Amplitude Modulationen_US
dc.subjectQuadrature Phase Shift Keyingen_US
dc.titleMMWAVE PATH LOSS MODELING FOR 5G APPLICATIONSen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Satzhan_Askarov_Manuscript.pdf
Size:
1.86 MB
Format:
Adobe Portable Document Format
Description:
Master`s thesis
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.28 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

02. Master's Thesis