Optimal Radio Resource Allocation for Hybrid Traffic in Cellular Networks: Centralized and Distributed Architecture
Ahmed Abdelhadi, Mo Ghorbanzadeh, Charles Clancy

TL;DR
This paper develops novel centralized and distributed algorithms for optimal radio resource allocation in cellular networks supporting hybrid traffic with delay-tolerant and real-time applications, ensuring fairness and efficiency.
Contribution
It introduces convex optimization formulations and efficient algorithms for resource allocation in hybrid traffic scenarios, considering application diversity and user priorities.
Findings
Algorithms achieve optimal resource distribution without lost calls.
Convexity of the optimization problems is established.
Simulation results demonstrate the effectiveness of the proposed methods.
Abstract
Optimal resource allocation is of paramount importance in utilizing the scarce radio spectrum efficiently and provisioning quality of service for miscellaneous user applications, generating hybrid data traffic streams in present-day wireless communications systems. A dynamism of the hybrid traffic stemmed from concurrently running mobile applications with temporally varying usage percentages in addition to subscriber priorities impelled from network providers' perspective necessitate resource allocation schemes assigning the spectrum to the applications accordingly and optimally. This manuscript concocts novel centralized and distributed radio resource allocation optimization problems for hybrid traffic-conveying cellular networks communicating users with simultaneously running multiple delay-tolerant and real-time applications modelled as logarithmic and sigmoidal utility functions,…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Wireless Communication Networks Research · Advanced MIMO Systems Optimization
