PROJECT TITLE :

Fairness-Driven Fast Resource Allocation for Interference-Free Heterogeneous Networks

ABSTRACT:

Resource allocation in heterogeneous wireless networks could be a advanced drawback. This letter addresses this downside maximizing the sum of logarithms of received rates. From this perform, and using the Karush-Kuhn-Tucker (KKT) conditions, this paper proposes an iterative algorithm for allocating resources, which is abundant faster than typical techniques. This quick response can be used to optimize larger regions, obtaining closer to the performance of world and centralized algorithms.


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