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Efficient Resource Utilization in Advanced Wireless Networks

Resource type
Thesis type
(Thesis) Ph.D.
Date created
With advancements in wireless communication technologies, broadband wireless services will be prevalent in the near future. Meanwhile, increased capability of mobile devices is drastically in- creasing the mobile data usage. This increase is far in excess of mobile network capacities. There- fore, despite the higher availability of these networks, higher number of users they support, and their improved spectral efficiencies, effective utilization of wireless resources is required to keep up with the ever-increasing user demands for mobile content. This thesis targets high-throughput data transmission in advanced cellular wireless networks and wireless local area networks. These wireless networks have been widely used for broadband wireless access and are constantly enhanced for future applications. We present efficient resource allocation solutions to meet the transmission requirements of high bandwidth applications, like video streaming, in these networks. Our solutions combat bandwidth limitations in different settings, including dense networks and high mobility. We compare our proposed methods with state-of-the- art solutions and prove their effectiveness. We also discuss the availability of cost-effective wireless access solutions that are yet to be considered for expanding mobile data networks. If efficiently used, these networks can offload con- siderable traffic off the cellular wireless networks. We discuss dense wireless local area networks for their abundant resources and extensive deployment. We present an optimal solution to oppor- tunistically use the dense deployment of local access points and collaboratively serve wireless users. We present our solution within a set of networks that share the same upstream provider. Our solu- tions show significantly improved throughput in dense implementations, a remarkable step towards pervasiveness in next generation of mobile communication systems.
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Scholarly level
Supervisor or Senior Supervisor
Thesis advisor: Liu, Jiangchuan
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