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Towards 5G: Wireless System and Netw...

Zhao, Jie.

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Towards 5G: Wireless System and Network Design for Cognitive Radio and Millimeter Wave Communications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards 5G: Wireless System and Network Design for Cognitive Radio and Millimeter Wave Communications./
Author:	Zhao, Jie.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	179 p.
Notes:	Source: Dissertation Abstracts International, Volume: 80-08(E), Section: B.
Contained By:	Dissertation Abstracts International80-08B(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13424950
ISBN:	9781392059692

Towards 5G: Wireless System and Network Design for Cognitive Radio and Millimeter Wave Communications.
Zhao, Jie.

Towards 5G: Wireless System and Network Design for Cognitive Radio and Millimeter Wave Communications. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 179 p.

Source: Dissertation Abstracts International, Volume: 80-08(E), Section: B.

Thesis (Ph.D.)--State University of New York at Stony Brook, 2018.

The unprecedented expanding trend of global wireless data is accelerated by the proliferation of advanced user terminals like smartphones and bandwidth-greedy applications including ultra-high-definition video streaming, massively multiplayer online gaming, multimedia conferencing, etc. In order to support this galloping demand for network traffic and ubiquitous wireless coverage, it calls for moving to the next major phase of wireless and mobile telecommunications: 5th generation (5G).

ISBN: 9781392059692Subjects--Topical Terms:

649834
Electrical engineering.

Towards 5G: Wireless System and Network Design for Cognitive Radio and Millimeter Wave Communications.
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100 1 $a Zhao, Jie. $3 1275148
245 1 0 $a Towards 5G: Wireless System and Network Design for Cognitive Radio and Millimeter Wave Communications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 179 p.
500 $a Source: Dissertation Abstracts International, Volume: 80-08(E), Section: B.
500 $a Adviser: Xin Wang.
502 $a Thesis (Ph.D.)--State University of New York at Stony Brook, 2018.
520 $a The unprecedented expanding trend of global wireless data is accelerated by the proliferation of advanced user terminals like smartphones and bandwidth-greedy applications including ultra-high-definition video streaming, massively multiplayer online gaming, multimedia conferencing, etc. In order to support this galloping demand for network traffic and ubiquitous wireless coverage, it calls for moving to the next major phase of wireless and mobile telecommunications: 5th generation (5G).
520 $a With the aim to push towards 5G, this dissertation investigates critical wireless system and network design topics, including wideband monitoring, spectrum utilization, directional communications and resource management, mainly from the perspectives of two 5G-enabling technologies: cognitive radio (CR) and millimeter-wave (mmWave). First, to identify the sparse spectrum usage conditions and determine the resources available for better spectral efficiency, we design a continuous wideband sensing and detection framework with effective implementations for single-user case and cooperative multi-user case. Second, in order to better utilize spectral resources and cope with environmental disturbances, we develop a dynamic multi-user multi-channel access strategy and a robust perturbation-resilient and compressive data transmission scheme in CR networks. Third, with the objective of enhanced beamforming for high-speed directional transmissions of mmWave systems, we propose channel estimation regimes based on particular properties of mmWave channels. We also study low-frequency band assistance to facilitate accurate and low-cost beam alignment. Finally, to enable efficient directional medium access, radio resource management and network throughput boost, we innovate joint beam training and transmission scheduling methodologies with potent features for mmWave networks.
590 $a School code: 0771.
650 4 $a Electrical engineering. $3 649834
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710 2 $a State University of New York at Stony Brook. $b Electrical Engineering. $3 1684468
773 0 $t Dissertation Abstracts International $g 80-08B(E).
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793 $a English
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