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Active Queue Management for 5G Networks

Thesis Info

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Author

Muhammad Aamir Nadeem

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=12

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676720944644

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Societal development and Machine Type Communication are the two key forces shaping the communication. Emerging applications like e-health, e-business, e-banking, e-learning and their proliferation into daily life around the world is going to put tremendous load on mobile and wireless communication. IoT, smart cities, traffic controls, smart grids and industrial automation and controls are examples of future communicating machines paradigm. These scenarios lead us to foresee that future communication will pose challenges of extremely higher data rates, much lower latencies, and massive numbers of connected devices, connectivity, mobility, and cost and energy efficiency. 5G networks are supposed to meet these challenges. So far, the quest for 5G is focused on identifying enabling technologies. Active Queue Management (AQM) which was initially devised for congestion control in TCP/IP architecture, in following years became important part for provisioning Quality of Service. Extremely higher data rates that are promised by 5G technology and provisioning of connectivity to unlimited number of devices with guaranteeing latency; it calls for application of AQM for 5G networks. Moreover greater buffer size that results from classical bandwidth delay product for each link causes additional delays due to architectural limitation of memory access time. This further signifies the role of AQM. This work proposed 5G network architecture with AQM. It also investigated the application of state-of-the-art AQM techniques namely Controlled Delay (CoDel) and Proportional Integral controller Enhanced (PIE) to the 5G networks along with Random Early Detection (RED) and DropTail. The proposed architecture was validated by performing simulations in NS3.
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