{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/77917"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/77917","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Improving Performance of Modern Wi-Fi and LTE Networks Through Efficient Spectrum Resource Provisioning","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Kotikanyakadanam Sheshadri, Ramanujan; 0000-0002-6451-9915"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Koutsonikolas, Dimitrios","Computer Science and Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-06-28T14:36:56Z","date_published":"2018-06-28T14:36:56Z","updated_at":"2026-07-27T19:05:05Z","subjects":["computer science"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/77917","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Koutsonikolas, Dimitrios","Computer Science and Engineering"]},{"key":"dc:creator","label":"Author","values":["Kotikanyakadanam Sheshadri, Ramanujan; 0000-0002-6451-9915"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-06-28T14:36:56Z","2018","2018-02-18 20:04:31"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["computer science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/77917"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","In recent years, the number of devices accessing wireless services has increased exponentially; as a result, a large number of often heterogeneous devices compete for access to the same limited available spectral resources in order to satisfy their traffic requirements. This competi-tion could not have been more evident than in the unlicensed 2.4/5 GHz bands. Despite new spectrum bands (e.g., 60 GHz band) be-coming available, the benefits (e.g., low-cost access, extended range, non-LoS communication) of operating in the 2.4/5 GHz unlicensed bands are expected to keep their popularity intact. Consequently, the critical challenge to all the network service providers that cater wireless services in these bands is to find novel ways to judiciously manage the available (unlicensed) spectral resources, while ensuring that: (i) all users get sufficient bandwidth to satisfy their traffic de-mand and (ii) there is no wastage/under-utilization of the available spectral resources. In this dissertation, we identify two popular types of wireless net-work deployments that often suffer significant performance degrada-tion, and can benefit from efficient spectral resource provisioning in the unlicensed band. We then propose novel solutions to optimize their spectral resource utilization and improve their overall network performance. Our proposed solutions are backed by strong theoretical frameworks, yet practically-implementable, standard-compliant, and readily deployable over the existing wireless network stack without any changes. In the first part of the dissertation, we focus on WLAN deployments in large enterprises and high-density venues, where thousands of devices, many running high bandwidth applications (e.g., video stream-ing, VR/AR applications), simultaneously access the available Wi-Fi services. We show that the traditional WLAN architecture that pro-vides static spectral resource assignment is ill-equipped to handle oc-casional surges in the user-traffic, and more importantly suffers due to the spatial-temporal changes in the traffic patterns. To alleviate these problems, we propose AmorFi, an amorphous WLAN architecture with the ability to dynamically (re-)provision the available spectrum resources to address traffic surges and the spatial-temporal changes in the user-traffic demands. Our evaluations show that AmorFi can guarantee 1.5x-2x improved throughput performance than the tradi-tional WLANs. In the second part of the dissertation, we focus on the recently in-troduced LTE deployments in the unlicensed spectrum. Since LTE was envisioned to operate in the licensed band, free from any exter-nal interference, it was never designed to share its available spectral resources with other radio access technologies. However, its recent ad-vent into the unlicensed band, where it shares the spectrum with the incumbent Wi-Fi, creates a conflict between the asynchronous inter-ference present in the unlicensed band and LTEs scheduled, and syn-chronous channel access, that can result in massive under-utilization/wastage of the spectral resources. Consequently, we propose BLU and ELI, two novel systems that aim to empower LTE networks operating in the unlicensed spectrum with interference awareness to ensure op-timal utilization of the available spectral resources. BLU and ELI individually provide up to 2x improved performance (throughput and resource utilization) when compared to existing interference-agnostic LTE networks."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Improving Performance of Modern Wi-Fi and LTE Networks Through Efficient Spectrum Resource Provisioning"]}]}],"canonical_facts":{"dc:contributor":["Koutsonikolas, Dimitrios","Computer Science and Engineering"],"dc:creator":["Kotikanyakadanam Sheshadri, Ramanujan; 0000-0002-6451-9915"],"dc:date":["2018-06-28T14:36:56Z","2018","2018-02-18 20:04:31"],"dc:description":["Ph.D.","In recent years, the number of devices accessing wireless services has increased exponentially; as a result, a large number of often heterogeneous devices compete for access to the same limited available spectral resources in order to satisfy their traffic requirements. This competi-tion could not have been more evident than in the unlicensed 2.4/5 GHz bands. Despite new spectrum bands (e.g., 60 GHz band) be-coming available, the benefits (e.g., low-cost access, extended range, non-LoS communication) of operating in the 2.4/5 GHz unlicensed bands are expected to keep their popularity intact. Consequently, the critical challenge to all the network service providers that cater wireless services in these bands is to find novel ways to judiciously manage the available (unlicensed) spectral resources, while ensuring that: (i) all users get sufficient bandwidth to satisfy their traffic de-mand and (ii) there is no wastage/under-utilization of the available spectral resources. In this dissertation, we identify two popular types of wireless net-work deployments that often suffer significant performance degrada-tion, and can benefit from efficient spectral resource provisioning in the unlicensed band. We then propose novel solutions to optimize their spectral resource utilization and improve their overall network performance. Our proposed solutions are backed by strong theoretical frameworks, yet practically-implementable, standard-compliant, and readily deployable over the existing wireless network stack without any changes. In the first part of the dissertation, we focus on WLAN deployments in large enterprises and high-density venues, where thousands of devices, many running high bandwidth applications (e.g., video stream-ing, VR/AR applications), simultaneously access the available Wi-Fi services. We show that the traditional WLAN architecture that pro-vides static spectral resource assignment is ill-equipped to handle oc-casional surges in the user-traffic, and more importantly suffers due to the spatial-temporal changes in the traffic patterns. To alleviate these problems, we propose AmorFi, an amorphous WLAN architecture with the ability to dynamically (re-)provision the available spectrum resources to address traffic surges and the spatial-temporal changes in the user-traffic demands. Our evaluations show that AmorFi can guarantee 1.5x-2x improved throughput performance than the tradi-tional WLANs. In the second part of the dissertation, we focus on the recently in-troduced LTE deployments in the unlicensed spectrum. Since LTE was envisioned to operate in the licensed band, free from any exter-nal interference, it was never designed to share its available spectral resources with other radio access technologies. However, its recent ad-vent into the unlicensed band, where it shares the spectrum with the incumbent Wi-Fi, creates a conflict between the asynchronous inter-ference present in the unlicensed band and LTEs scheduled, and syn-chronous channel access, that can result in massive under-utilization/wastage of the spectral resources. Consequently, we propose BLU and ELI, two novel systems that aim to empower LTE networks operating in the unlicensed spectrum with interference awareness to ensure op-timal utilization of the available spectral resources. BLU and ELI individually provide up to 2x improved performance (throughput and resource utilization) when compared to existing interference-agnostic LTE networks."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/77917"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["computer science"],"dc:title":["Improving Performance of Modern Wi-Fi and LTE Networks Through Efficient Spectrum Resource Provisioning"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:05Z"}