Spectrum sharing in next generation wireless communication networks

He, Ying

Spectrum sharing in next generation wireless communication networks

He, Ying

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Publication Type:: Thesis
Issue Date:: 2017

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Field	Value	Language
dc.contributor.author	He, Ying
dc.date.accessioned	2017-04-27T22:21:51Z
dc.date.available	2017-04-27T22:21:51Z
dc.date.issued	2017
dc.identifier.uri	http://hdl.handle.net/10453/94710
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_AU
dc.description.abstract	In recent years, the wireless communication systems have dramatically changed the world by connecting people and devices. We are currently standing at the 4th generation (4G) in the evolution and drawing the picture for the next generation (5G) wireless communication systems. For which, we are aiming at 1000x increase in capacity. Despite all efforts on the coding and modulation techniques, the growth of capacity is physically restricted by the limited spectrum resource. Therefore, spectrum sharing has been proposed to break this constraint. This thesis studied the emerging spectrum sharing frameworks and enabling spectrum sharing in cellular networks. Our work focuses on two main spectrum sharing frameworks: Spectrum Access System (SAS) in the U.S. and Licensed Shared Access (LSA) in Europe. We address the common and differing factors, then propose access and interference mitigation methods for SAS and LSA. SAS is a hierarchical access model with three tiers of users: incumbents, Priority Access Licensees (PAL) and General Authorised Access (GAA) users. We propose a PAL-GAA co-channel interference mitigation technique that does not expose base station locations. The distribution of the aggregate interference is derived using Probability Density Function and Characteristic Function. The optimal exclusion zone size is found through an approximation of a convex problem and our approach reduces the exclusion zone size substantially. We also propose the access methods between different tiers in LSA and SAS, regarding the interference measurement and user selection of secondary users, efficient PAL detection with sub-sampling and LTE/WiFi coexistence in the unlicensed band. These access and coexistence methods guarantee that the interference requirements are met. Furthermore, we studied one of the key enabling technologies in the future cellular networks - Cloud Radio Access Network (C-RAN). By modelling C-RAN with the Distributed Antenna System (DAS), we analyse the capacity of C-RAN in multiple aspects. We derive closed-form upper and lower bounds in efficiently computable expressions for differential capacity (DCAP) using the Moment Generating Function (MGF) of the Signal-to-Noise-Ratio (SNR). We then propose to leverage Coordinated Multi-Point (CoMP), Fractional Frequency Reuse (FFR) and Multi-User Multiple-Input-Multiple-Output (MU-MIMO) in the C-RAN system to boost the capacity through coordination. Moreover, the emerging LSA framework is applied on the C-RAN to further increase the capacity. Additionally, we use Multiset to model the Inter-Cell Interference (ICI) of C-RAN and optimise the FFR resource allocation. We investigate the dynamic decision making and derive the transmitting SNR threshold for C-RAN. In summary, spectrum sharing on the next generation wireless communication has not yet been fully studied. This thesis proposes spectrum sharing methods that contribute to the interference mitigation and capacity growth for spectrum sharing frameworks and C-RAN in the future 5G networks.	en_AU
dc.format	Thesis (PhD)
dc.language.iso	en_AU	en_AU
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/94710/2/02whole.pdf
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	au.edu.uts.lib/ppc
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Spectrum sharing in next generation wireless communication networks	en_AU
dc.type	Thesis	en_AU
utslib.copyright.status	open_access	*

Abstract:

In recent years, the wireless communication systems have dramatically changed the world by connecting people and devices. We are currently standing at the 4th generation (4G) in the evolution and drawing the picture for the next generation (5G) wireless communication systems. For which, we are aiming at 1000x increase in capacity. Despite all efforts on the coding and modulation techniques, the growth of capacity is physically restricted by the limited spectrum resource. Therefore, spectrum sharing has been proposed to break this constraint. This thesis studied the emerging spectrum sharing frameworks and enabling spectrum sharing in cellular networks. Our work focuses on two main spectrum sharing frameworks: Spectrum Access System (SAS) in the U.S. and Licensed Shared Access (LSA) in Europe. We address the common and differing factors, then propose access and interference mitigation methods for SAS and LSA. SAS is a hierarchical access model with three tiers of users: incumbents, Priority Access Licensees (PAL) and General Authorised Access (GAA) users. We propose a PAL-GAA co-channel interference mitigation technique that does not expose base station locations. The distribution of the aggregate interference is derived using Probability Density Function and Characteristic Function. The optimal exclusion zone size is found through an approximation of a convex problem and our approach reduces the exclusion zone size substantially. We also propose the access methods between different tiers in LSA and SAS, regarding the interference measurement and user selection of secondary users, efficient PAL detection with sub-sampling and LTE/WiFi coexistence in the unlicensed band. These access and coexistence methods guarantee that the interference requirements are met. Furthermore, we studied one of the key enabling technologies in the future cellular networks - Cloud Radio Access Network (C-RAN). By modelling C-RAN with the Distributed Antenna System (DAS), we analyse the capacity of C-RAN in multiple aspects. We derive closed-form upper and lower bounds in efficiently computable expressions for differential capacity (DCAP) using the Moment Generating Function (MGF) of the Signal-to-Noise-Ratio (SNR). We then propose to leverage Coordinated Multi-Point (CoMP), Fractional Frequency Reuse (FFR) and Multi-User Multiple-Input-Multiple-Output (MU-MIMO) in the C-RAN system to boost the capacity through coordination. Moreover, the emerging LSA framework is applied on the C-RAN to further increase the capacity. Additionally, we use Multiset to model the Inter-Cell Interference (ICI) of C-RAN and optimise the FFR resource allocation. We investigate the dynamic decision making and derive the transmitting SNR threshold for C-RAN. In summary, spectrum sharing on the next generation wireless communication has not yet been fully studied. This thesis proposes spectrum sharing methods that contribute to the interference mitigation and capacity growth for spectrum sharing frameworks and C-RAN in the future 5G networks.

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http://hdl.handle.net/10453/94710