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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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 25.48 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.32 MB | Adobe PDF | View/Open | |
03_content.pdf | 130.96 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 120.31 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.07 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 696.27 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.13 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.41 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 644.7 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 112.45 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 122.08 kB | Adobe PDF | View/Open |
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