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Resource Allocation and Network Mana...
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Namvar, Nima.
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Resource Allocation and Network Management in 5G Cellular Systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Resource Allocation and Network Management in 5G Cellular Systems./
作者:
Namvar, Nima.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
130 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Contained By:
Dissertations Abstracts International81-12B.
標題:
Electrical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27833147
ISBN:
9798645480530
Resource Allocation and Network Management in 5G Cellular Systems.
Namvar, Nima.
Resource Allocation and Network Management in 5G Cellular Systems.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 130 p.
Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Thesis (Ph.D.)--North Carolina Agricultural and Technical State University, 2020.
This item must not be sold to any third party vendors.
The evolving fifth generation (5G) cellular wireless networks are envisioned to significantly improve on the current 4G system (WiMax and LTE-A) performance in a number critical features, namely, the aggregate data rate, end-to-end latency, energy consumption, capacity, and the number of connected mobile device. The 5G communication platform is expected to provide seamless and ubiquitous connectivity to connect anyone/anything at any time. In order to accomplish such a challenging mission, the 5G systems are required to incorporate some of the existing standards, such as High Speed Packet Access (HSPA), Long Term Evolution-Advanced (LTE-A) and Wireless Fidelity (WiFi), as well as introducing some novel and ground-breaking ideas and technologies. A number of the emerging features and trends of 5G networks are: multi-tier dense heterogeneous networks, device-to-device (D2D) and machine-to-machine (M2M) communications, cell densification, cloud based radio access, internet of things (IoT), cognitive radio networks (CRN), and millimeter wave (mmW) band communications, massive MIMO, and airborne wireless cellular network. Efficient resource allocation and network management is one of the fundamental research challenges for such multi-tier heterogeneous networks. In this dissertation, the radio resource allocation problem is considered in the context of various 5G enabling technologies. In particular, a novel context-aware radio link allocation is developed for D2D communication networks to alleviate the load on the core network and enhance the QoE for users. A game theoretical framework is proposed for spectrum sharing in CRNs which considerably improves the spectrum efficiency of the network while maintaining its expected quality of service. An efficient transmit power allocation mechanism is developed for orthogonal frequency division multiple access (OFDMA)-based 5G network to thwart the jamming attack on IoT devices. We also study the technique of small-cell-networks which is the fundamental technology behind the cell densification. We provide a novel ineteference management and load distribution algorithm in dense multi-tier network. Furthermore, we study the role and the technical challenges of airborne 5G wireless networks and provide a mathematical framework for analysis and optimization of the Unmanned Aerial Vehicles (UAV)-supported networks in 5G systems.
ISBN: 9798645480530Subjects--Topical Terms:
649834
Electrical engineering.
Subjects--Index Terms:
5G
Resource Allocation and Network Management in 5G Cellular Systems.
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The evolving fifth generation (5G) cellular wireless networks are envisioned to significantly improve on the current 4G system (WiMax and LTE-A) performance in a number critical features, namely, the aggregate data rate, end-to-end latency, energy consumption, capacity, and the number of connected mobile device. The 5G communication platform is expected to provide seamless and ubiquitous connectivity to connect anyone/anything at any time. In order to accomplish such a challenging mission, the 5G systems are required to incorporate some of the existing standards, such as High Speed Packet Access (HSPA), Long Term Evolution-Advanced (LTE-A) and Wireless Fidelity (WiFi), as well as introducing some novel and ground-breaking ideas and technologies. A number of the emerging features and trends of 5G networks are: multi-tier dense heterogeneous networks, device-to-device (D2D) and machine-to-machine (M2M) communications, cell densification, cloud based radio access, internet of things (IoT), cognitive radio networks (CRN), and millimeter wave (mmW) band communications, massive MIMO, and airborne wireless cellular network. Efficient resource allocation and network management is one of the fundamental research challenges for such multi-tier heterogeneous networks. In this dissertation, the radio resource allocation problem is considered in the context of various 5G enabling technologies. In particular, a novel context-aware radio link allocation is developed for D2D communication networks to alleviate the load on the core network and enhance the QoE for users. A game theoretical framework is proposed for spectrum sharing in CRNs which considerably improves the spectrum efficiency of the network while maintaining its expected quality of service. An efficient transmit power allocation mechanism is developed for orthogonal frequency division multiple access (OFDMA)-based 5G network to thwart the jamming attack on IoT devices. We also study the technique of small-cell-networks which is the fundamental technology behind the cell densification. We provide a novel ineteference management and load distribution algorithm in dense multi-tier network. Furthermore, we study the role and the technical challenges of airborne 5G wireless networks and provide a mathematical framework for analysis and optimization of the Unmanned Aerial Vehicles (UAV)-supported networks in 5G systems.
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