Universiti Teknologi Malaysia Institutional Repository

Path loss model for outdoor environment at 17 GHz mm-wave band

Al-Samman, A. M. and Rahman, T. A. and Azmi, M. H. and Zulkefly, N. R. and Mataria, A. M. S. (2016) Path loss model for outdoor environment at 17 GHz mm-wave band. In: 12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016, 4 March 2016 through 6 March 2016, Hatten Hotel Melaka Hatten Square, Jalan Merdeka, Bandar Hilir Melaka; Malaysia.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

This paper presents the path loss model for 17 GHz mm-Wave frequency spectrum. The millimeter-wave spectrum has been proposed for future high speed 5G cellular systems with large bandwidth requirement. Since this proposal, propagation studies characterizing and investigating the potential of mm-Wave spectrum have been aggressively performed. This work conducts measurement campaign to derive a path loss models for outdoor environment in line-of-sight (LOS) scenarios at 17 GHz mm-Wave frequency spectrum. The derived models are based on the log-normal shadowing model. The path loss exponent for the derived path loss models is 2.3, which indicates that the chosen outdoor environment is an open environment like free space. Comparison between the values of path loss provided by the measured data, the derived path loss model and the free space model is made. The differences between the path loss value from the measured data and the derived path loss model is 7dB, while 13 dB differences is found when comparing the measured data and the free space loss model.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:5G, free space path loss model, log-distance model, log-normal shadowing model, mm-Wave, path loss exponent, path loss model
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:73122
Deposited By: Muhammad Atiff Mahussain
Deposited On:18 Nov 2017 00:48
Last Modified:18 Nov 2017 00:48

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