Citation

Hossain, Ferdous (2019) Deterministic Modelling For Indoor Radio Propagation Prediction Of Fifth Generation Networks. PhD thesis, Multimedia University.

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Abstract

Due to the fascinating properties in higher frequencies, the applications of such radio waves are increasing significantly in indoor communication systems. In the field of wireless communications, the propagation predictions play a vital role to gain better performance. A study of ray tracing is presented in this thesis, with special consideration to future high-frequency applications. Although practical measurements provide accurate judgment of performance, they require a huge resource in time, effort and cost. Hence, computerised simulation would be a good alternative to wireless channel modelling. This study considers an initiative for developing a simulator using ray tracing technique. Based on the literature review, we observe that there is a r esearch gap on conventional ray tracing methods that is worthy of further investigation. The radio propagation prediction simulation method based on deterministic models such as ray launching is extensively used to accomplish radio channel characterization. The superiority of the simulation depends on the number of rays launched and received. Conventional menthols launched more ray these are directly related to the complexity. We propose to develop a Three-Dimensional (3-D) Adaptive Path Sensing Method (APSM), which is applicable for an efficient indoor radio wave propagation prediction. Using the efficient APSM in the simulation environment for ray lunching drastically reduces the number of rays needed to be traced, and improve the efficiency of ray tracing. Implementation and justification of APSM simulations are conducted at 6 GHz.

Item Type:	Thesis (PhD)
Additional Information:	Call No.: TK6553 .F47 2019
Uncontrolled Keywords:	Radio wave propagation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	22 Sep 2020 17:51
Last Modified:	22 Sep 2020 17:51
URII:	http://shdl.mmu.edu.my/id/eprint/7760

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