Abstract
In Chap. 3, we introduced a novel convex utility proportional fairness maximization for optimal resource allocation in wireless networks and outfitted the optimization with the subscriber, application status, and service differentiations parameterized, respectively, as UE subscription weights, application status weights, and application utility functions. Furthermore, we developed a centralized architecture for the proposed resource allocation which assigned application rates by the eNBs in a single stage in response to the application utility parameters sent by the UEs to the eNBs. In this chapter, we provide with a distributed architecture for the same radio resource allocation framework which was introduced in Chap. 3. The resource allocation optimization accounts for application types and temporal usages as well as UE priorities.
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Ghorbanzadeh, M., Abdelhadi, A., Clancy, C. (2017). Distributed Resource Allocation. In: Cellular Communications Systems in Congested Environments. Springer, Cham. https://doi.org/10.1007/978-3-319-46267-7_4
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DOI: https://doi.org/10.1007/978-3-319-46267-7_4
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