Enhancing Network Metrics by Utilizing MIMO and mmWave for ORAN Dynamic Multi-Objective Optimization
DOI:
https://doi.org/10.65204/djes.v3i2.747Abstract
In this manuscript, we present a complete multiobjective optimization methodology which aims at handling these challenges by the incorporation of MIMO as well as mmWave techniques. The optimization model considers energy efficiency (EE), spectral efficiency (SE), and user (UE) fairness as the three most important performance indicators while complying with practical constraints, such as power and bandwidth limitations, interference control policies and dynamic channel conditions. The optimization is solved through advanced techniques as the sequential quadratic programming (SQP), active set, and interior point to solve the power allocation, beamforming strategies, and resource distribution for UEs. In addition, this work proposed an interference-aware power and bandwidth allocation scheme while meeting the QoS constraints. We take into account the time-varying characteristics of wireless channels and design of dynamic power allocation strategies that reflect UE mobility and variations in channel conditions. We also added energy harvesting functions to make the network more sustainable and less reliant on traditional power supplies. The simulation is applied to three case studies to achieve high EE, SE, and fairness in various real network scenarios. The results demonstrate that SQP outperforms active set and interior point methods, especially in the presence of high interference and dynamics by offering more reliable and light-weight nature resource allocation. In addition, the introduction of mmWave to MIMO substantially enhances the system capacity and low latency especially in cases where there is a demand for high data rate transmission.
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