Game theoretic models for the analysis of UAV-aided wireless communications
| dc.contributor.author | Mittal, Vandana | |
| dc.contributor.examiningcommittee | Yahampath, Pradeepa (Electrical and Computer Engineering) | |
| dc.contributor.examiningcommittee | Mohammed, Noman (Computer Science) | |
| dc.contributor.examiningcommittee | Shami, Abdallah (Electrical and Computer Engineering, Western University) | |
| dc.contributor.supervisor | Hossain, Ekram | |
| dc.date.accessioned | 2023-12-12T17:39:19Z | |
| dc.date.available | 2023-12-12T17:39:19Z | |
| dc.date.issued | 2023-12-04 | |
| dc.date.submitted | 2023-12-05T01:27:52Z | en_US |
| dc.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Doctor of Philosophy (Ph.D.) | |
| dc.description.abstract | Aerial networks, utilizing Unmanned Aerial Vehicles (UAVs) have recently gained significant attention as they will play a key role in shaping the future of wireless networks including beyond 5G and 6G. This thesis addresses challenges in utilizing UAVs for wireless communication networks, focusing on two deployment scenarios: UAV-only networks and integrated aerial-terrestrial networks (IATN) with both UAVs and base stations (BSs). The first deployment scenario is applicable in situations like natural disasters, where UAV deployment is well-suited for establishing temporary infrastructure. In such cases, optimizing resource utilization is important. Further, in such scenarios, there could be a limited availability of information. Therefore, we study the resource sharing problem in a UAVs-based network under uncertainty. Specifically, the UAVs cooperate in serving the users while pooling their spectrum and energy resources in the absence of prior knowledge about different system characteristics such as the amount of available power at the other UAVs. Regarding solutions, centralized management requires comprehensive global network information accessible to a central controller for optimization. These methods, however, suffer from excessive overhead and computational cost. Therefore, we utilize Bayesian Coalition Formation Game (BCFG) to address the resource sharing problem in a cooperative UAV network with uncertainty. The second scenario involves leveraging UAVs to complement terrestrial networks, enhancing connectivity through unique features like enhanced line-of-sight, mobility, and flexibility. Consequently, efficient cooperation between aerial and terrestrial networks holds the potential to introduce an additional dimension for enhancing the user experience and optimizing network resource utilization as users can utilize both LoS and non-LoS channels, different altitudes, and types of BSs. Therefore, we present a framework to optimize the deployment of aerial network and cooperation among aerial-terrestrial network such that the network deployment cost efficiency (i.e. the ratio of network sum-rate and deployment-plus-energy-cost) is maximized. The cooperation among UAVs and BSs is supported with clustered cell-free-massive-MIMO (C-CF-M-MIMO). Our approach involves a grid-based joint UAV density and location optimization, pilot-contamination aware user clustering, and distributed coalition game for UAVs and BSs cooperation. | |
| dc.description.note | February 2024 | |
| dc.identifier.uri | http://hdl.handle.net/1993/37863 | |
| dc.language.iso | eng | |
| dc.rights | open access | en_US |
| dc.subject | UAVs based wireless communication | |
| dc.subject | Integrated aerial-terrestrial networks | |
| dc.subject | Resource management | |
| dc.subject | Cooperative game theory | |
| dc.subject | Distributed algorithms | |
| dc.subject | Cell-free massive MIMO communications | |
| dc.title | Game theoretic models for the analysis of UAV-aided wireless communications | |
| dc.type | doctoral thesis | en_US |
| local.subject.manitoba | no |