Spectrum Sharing and Coexistence In Future Wireless Networks

Basnet, Shubhekshya

Spectrum Sharing and Coexistence In Future Wireless Networks

Basnet, Shubhekshya

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Publication Type:: Thesis
Issue Date:: 2019

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Field	Value	Language
dc.contributor.author	Basnet, Shubhekshya
dc.date.accessioned	2020-04-24T01:43:08Z
dc.date.available	2020-04-24T01:43:08Z
dc.date.issued	2019
dc.identifier.uri	http://hdl.handle.net/10453/140249
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_AU
dc.description.abstract	With the spectrum resource in wireless networks becoming more congested, spectrum sharing is more crucial to meet the demands of future networks. With the increasing growth of mobile data traffic in the next-generation wireless communications system, capacity maximisation has been a central focus for government, academia and industry. Regulatory bodies have proposed different spectrum sharing techniques to solve the significantly increasing spectrum demand. There are two main spectrum sharing frameworks: Spectrum Access System (SAS) in the U.S. and Licensed Shared Access in Europe. Our work focuses on the SAS in the 3.5 GHz band. SAS is a three-tier spectrum sharing framework proposed by the Federal Communications Commission. The SAS three tiers are Incumbent Access, Priority Access Licensee (PAL) and General Authorised Access (GAA). The optimal transmit power allocation problem is investigated for GAA users considering the transmission time fraction of GAA users in the SAS. To increase the capacity of GAA users, we consider the transmission time fraction of each GAA user for the transmit power and the channel allocation. Our proposed method finds the optimal channel switching schedule that maximises the average capacity of GAA users while satisfying the interference constraint at the PAL protection area and ensuring the fairness among GAA users. We have proposed transmit power and channel allocation method that ensures conflict-free co-channel coexistence between PAL and GAA users as well as GAA users in different sets. We proposed the transmit power adjustment method using the information of the sets that can hear each other, which maximises the GAA users capacity. For a conflict-free resource allocation to the GAA users, a channel utilisation budget adjustment method is proposed considering GAA users in single and multiple sets. Furthermore, mobile GAA users are considered in our study which adds an additional challenge to the resource allocation problem. We propose an interfering angle based method for the transmit power allocation for both fixed and mobile GAA users considering the interfering sets of users that are time-varying due to their mobility. Based on the information regarding the overlapping area, the maximum allowed transmit power is proposed for the interfering angle. The coexistence among GAA users in SAS is a crucial problem to be solved to enhance the system capacity and to meet the increasing traffic demand. In summary, the resource allocation methods are presented in this thesis which contributes to interference protection and capacity maximisation in the Spectrum Access System.	en_AU
dc.format	Thesis (PhD)
dc.language.iso	en_AU	en_AU
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/140249/3/02whole.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 and Coexistence In Future Wireless Networks	en_AU
dc.type	Thesis	en_AU
utslib.copyright.status	open_access

Abstract:

With the spectrum resource in wireless networks becoming more congested, spectrum sharing is more crucial to meet the demands of future networks. With the increasing growth of mobile data traffic in the next-generation wireless communications system, capacity maximisation has been a central focus for government, academia and industry. Regulatory bodies have proposed different spectrum sharing techniques to solve the significantly increasing spectrum demand. There are two main spectrum sharing frameworks: Spectrum Access System (SAS) in the U.S. and Licensed Shared Access in Europe. Our work focuses on the SAS in the 3.5 GHz band. SAS is a three-tier spectrum sharing framework proposed by the Federal Communications Commission. The SAS three tiers are Incumbent Access, Priority Access Licensee (PAL) and General Authorised Access (GAA). The optimal transmit power allocation problem is investigated for GAA users considering the transmission time fraction of GAA users in the SAS. To increase the capacity of GAA users, we consider the transmission time fraction of each GAA user for the transmit power and the channel allocation. Our proposed method finds the optimal channel switching schedule that maximises the average capacity of GAA users while satisfying the interference constraint at the PAL protection area and ensuring the fairness among GAA users. We have proposed transmit power and channel allocation method that ensures conflict-free co-channel coexistence between PAL and GAA users as well as GAA users in different sets. We proposed the transmit power adjustment method using the information of the sets that can hear each other, which maximises the GAA users capacity. For a conflict-free resource allocation to the GAA users, a channel utilisation budget adjustment method is proposed considering GAA users in single and multiple sets. Furthermore, mobile GAA users are considered in our study which adds an additional challenge to the resource allocation problem. We propose an interfering angle based method for the transmit power allocation for both fixed and mobile GAA users considering the interfering sets of users that are time-varying due to their mobility. Based on the information regarding the overlapping area, the maximum allowed transmit power is proposed for the interfering angle. The coexistence among GAA users in SAS is a crucial problem to be solved to enhance the system capacity and to meet the increasing traffic demand. In summary, the resource allocation methods are presented in this thesis which contributes to interference protection and capacity maximisation in the Spectrum Access System.

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