IEEE

Machine Learning-Based Resource Allocation in 6G Integrated Space and Terrestrial Networks-Aided Intelligent Autonomous Transportation

Abstract: The integration of terrestrial and non-terrestrial networks with mobile edge computing (MEC) and orbital edge computing (OEC) technologies is essential for advancing 6G communication ...
IEEE

A Low-Discrepancy and Latency-Aware, Scenario-Sensitive Resource Allocation Approach for Cloud Systems Using Latin Square-Based Improvised Genetic Optimization (LSBGO)

Abstract: Efficient resource allocation in cloud networks is a complex challenge, demanding adaptive strategies to sustain processing millions of tasks whose CPU, memory, and priority profiles changes ...