Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/454058
Title: Performance analysis of millimeter wave enabled heterogeneous network
Researcher: Amalorpava Mary Rajee, S
Guide(s): Merline, A
Keywords: Engineering and Technology
Computer Science
Library Information and Science
Heterogeneous Network
Millimeter Wave
Q-Learning
University: Anna University
Completed Date: 2021
Abstract: Next generation wireless networks support applications requiring high demand for data rates. So there will be lot of thriving advances to solve the data rate requirement. The concept behind Hetnet is to introduce small cells overlaid in a macro cell area, so as to provide features the macro cell itself cannot cope up with, such as extreme changes in the required user data rate and energy efficiency. It allows curtailing power consumption without reducing users quality of service (QoS). In particular small cells enabled with millimeter wave (mmWave) technologies are expected to be deployed towards improving the data rate as well as reducing the transmission power of fifth generation (5G) communication networks. newlineIn the first work, a downlink scenario of multi-tier Hetnet is considered to meet the network QoS requirements, The QoS metrics considered are network coverage, capacity and data rate. The co-existence of network configurations such as microwave and mmW are studied in the blockage indoor and outdoor environment. The realization of integrating mmW based low-power base stations inside the existing network is network densification. newlineHowever, the exploitation of mmW band is a challenging task due to its severe sensitivity to blockage. The main propagation challenges of the mmWave are addressed and potential solutions are presented in the second work to reduce latency. A mathematical framework to model dynamic blockages is adapted and their impact on mmW enabled network performance is analysed. newlineTo optimize the transmission power of small cells, the use of intelligent techniques namely, Q-learning approach is adapted in the third work to allow seamless connectivity. A higher degree of automation, cooperation and intelligence in distributed Hetnet are applied using Q-learning with Markov decision process (MDP) based technique. newline
Pagination: xvi,126p.
URI: http://hdl.handle.net/10603/454058
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim pages.pdf2.32 MBAdobe PDFView/Open
03_content.pdf130.96 kBAdobe PDFView/Open
04_abstract.pdf120.31 kBAdobe PDFView/Open
05_chapter 1.pdf1.07 MBAdobe PDFView/Open
06_chapter 2.pdf696.27 kBAdobe PDFView/Open
07_chapter 3.pdf1.13 MBAdobe PDFView/Open
08_chapter 4.pdf1.41 MBAdobe PDFView/Open
09_chapter 5.pdf644.7 kBAdobe PDFView/Open
10_annexures.pdf112.45 kBAdobe PDFView/Open
80_recommendation.pdf122.08 kBAdobe PDFView/Open
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