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Terminal cooperation in next generation wireless networks: aerial and regional access networks Chandrasekharan, S 2017, Terminal cooperation in next generation wireless networks: aerial and regional access networks, Doctor of Philosophy (PhD), Engineering, RMIT University. Document type: Thesis Collection: Theses Attached Files Name Description MIMEType Size Chandrasekharan.pdf Thesis application/pdf; Bytes Title Terminal cooperation in next generation wireless networks: aerial and regional access networks Author(s) Chandrasekharan, S Year 2017 Abstract Throughout the years, progress of humankind has depended on the power of communication and over the decades, the ways of communication has witnessed mammoth changes. Specifically wireless communication in the last decade has completely revolutionized the way we communicate with each other. Smartphones have become an ubiquitous part of our life. With most operators throughout the world deploying fourth generation wireless communication systems, peculiar use cases and scenarios are being envisioned such as public safety networks, aerial networks, etc. to be addressed by the next generation wireless systems. Moreover, as urban areas are becoming saturated commercial network operators are looking for business cases to move towards the untapped regional areas. However, to deploy networks in regional areas economically, novel technologies and architectures need to be developed and investigated. In this thesis, we study the novel concept of terminal cooperation in the context of next generation wireless communication systems especially looking into aerial and regional access networks. In the first part of the thesis, we investigate the physical radio channel for device-to-device (D2D) communication which would help in enabling terminal cooperation in wireless networks. Specifically, we propose propagation model for D2D in rural areas using 922 MHz and 2466 MHz, a channel model for vehicular communications using 5.8 GHz and a propagation model for D2D using millimetre wave frequencies. In the second part of the thesis, we evaluate the coverage performance of aerial access networks using different technologies and develop algorithms to enhance the coverage using terminal cooperation in regional access networks. Specifically, we evaluate the performance of two different technologies, LTE and WiFi, in aerial access networks. We propose game-theoretic algorithms to enable terminal cooperation to enhance coverage in regional access networks and perform system level simulation to evaluate the proposed algorithms. In the last part of this thesis, we analyse and develop techniques to enhance energy efficiency in aerial access networks using terminal cooperation. Specifically, we propose a clustering algorithm called EECAN which improves the energy efficiency of the terrestrial nodes accessing the aerial base-station, a clustering algorithm based on Matern Hardcore Point Process which allows us to optimize cluster head spacing analytically and we further enhance this algorithm by including impairments introduced by the wireless channel. Throughout this thesis, we verify and validate our analytic results, algorithms and techniques with Monte-Carlo simulations of the considered scenarios. Most of the work presented in this thesis was published in-part or as a whole in conferences, journals, book-chapters, project reports or otherwise undergoing a review process. These publications and reports are highlighted in the course of the thesis. Lastly, we invite the reader to enjoy exploring this thesis and we hope that it will add more understanding to this promising new technology of terminal cooperation in aerial and regional access networks. Degree Doctor of Philosophy (PhD) Institution RMIT University School, Department or Centre Engineering Subjects Mobile Technologies Networking and Communications Wireless Communications Keyword(s) Cooperative Communications Aerial Access Networks Regional Access Networks Terminal Cooperation Energy-efficient clustering Versions Version Filter Type Fri, 11 May 2018, 14:26:53 EST Fri, 11 May 2018, 14:29:21 EST Fri, 16 Nov 2018, 10:11:06 EST Filtered Full Access Statistics: 169 Abstract Views, 132 File Downloads  -  Detailed Statistics Created: Fri, 11 May 2018, 14:26:43 EST by Denise Paciocco