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Channel modeling for fifth generatio...

Torabi, Amir.

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Channel modeling for fifth generation cellular networks and wireless sensor networks.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Channel modeling for fifth generation cellular networks and wireless sensor networks./
作者:	Torabi, Amir.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	165 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-11(E), Section: B.
Contained By:	Dissertation Abstracts International77-11B(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10120301
ISBN:	9781339814841

Channel modeling for fifth generation cellular networks and wireless sensor networks.
Torabi, Amir.

Channel modeling for fifth generation cellular networks and wireless sensor networks. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 165 p.

Source: Dissertation Abstracts International, Volume: 77-11(E), Section: B.

Thesis (Ph.D.)--Michigan Technological University, 2016.

In view of exponential growth in data traffic demand, the wireless communications industry has aimed to increase the capacity of existing networks by 1000 times over the next 20 years. A combination of extreme cell densification, more bandwidth, and higher spectral efficiency is needed to support the data traffic requirements for fifth generation (5G) cellular communications. In this research, the potential improvements achieved by using three major 5G enabling technologies (i.e., small cells, millimeter-wave spectrum, and massive MIMO) in rural and urban environments are investigated. This work develops SPM and KA-based ray models to investigate the impact of geometrical parameters on terrain-based multiuser MIMO channel characteristic. Moreover, a new directional 3D channel model is developed for urban millimeter-wave (mmW) small cells. Path-loss, spatial correlation, coverage distance, and coherence length are studied in urban areas. Exploiting physical optics (PO) and geometric optics (GO) solutions, closed form expressions are derived for spatial correlation. Achievable spatial diversity is evaluated using horizontal and vertical linear arrays as well as planar 2D arrays. In another study, a versatile near-ground field prediction model is proposed to facilitate accurate wireless sensor network (WSN) simulations. Monte Carlo simulations are used to investigate the effects of antenna height, frequency of operation, polarization, and terrain dielectric and roughness properties on WSNs performance.

ISBN: 9781339814841Subjects--Topical Terms:

649834
Electrical engineering.

Channel modeling for fifth generation cellular networks and wireless sensor networks.
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