Investigation of QoS Performance Evaluation over 5G Network for Indoor Environment at millimeter wave Bands

• Autorzy: Qamar Faizan , Hindia Mohammad Nour , Abbas Talib , Dimyati Kaharudin Bin , Amiri Iraj Sadegh

Identyfikatory

DOI

10.24425/ijet.2019.126288

• Języki publikacji: EN

Abstrakty

EN

One of the key advancement in next-generation 5G wireless networks is the use of high-frequency signals specifically those are in the millimeter wave (mm-wave) bands. Using mmwave frequency will allow more bandwidth resulting higher data rates as compared to the currently available network. However, several challenges are emerging (such as fading, scattering, propagation loss etc.), when we propagate the radio signal at high frequencies. Optimizing propagation parameters of the mm-wave channels system are much essential for implementing in the realworld scenario. To keep this in mind, this paper presents the potential abilities of high frequencies signals by characterizing the indoor small cell propagation channel for 28 GHz, 38 GHz, 60 GHz and 73 GHz frequency band, which is considered as the ultimate frequency choice for many of the researchers. The most potential Close-In (CI) propagation model for mm-wave frequencies is used as a Large-scale path loss model. The results have been collected concerning the capacity of users to evaluate the average user throughput, cell-edge user throughput, average cell throughput, spectral efficiency and fairness index. The statistical results proved that these mm-wave spectrum gives a sufficiently greater overall performance and are available for use in the next generation 5G mobile communication network.

Słowa kluczowe

EN

5G; millimeter wave; CI-path loss; propagation channel; channel characterization; small cell

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2019
• Tom: Vol. 65, No. 1
• Strony: 95--101
• Opis fizyczny: Bibliogr. 50 poz., tab., wykr., rys.

Twórcy

autor

Qamar Faizan

• Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Lumpur, Malaysia

autor

Hindia Mohammad Nour

• Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Lumpur, Malaysia

autor

Abbas Talib

• Department of Electronic Engineering, NED University of Engineering & Technology, Karachi, Pakistan

autor

Dimyati Kaharudin Bin

• Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Lumpur, Malaysia

autor

Amiri Iraj Sadegh

• Computational Optics Research Group, Advanced Institute of Materials Science, Ton Duc Thang University, Ho Chi Minh City; Vietnam
• Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).