Radio Access Network Projects for ME, MTech, Masters, MS abroad, and PhD students. These Radio Access Network ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Radio Access Network Projects
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Performance Assessment of an ITU-T Compliant Machine Learning Enhancements for 5G RAN Network Slicing
This project focuses on improving how 5G networks share resources among multiple users. It introduces a way to give priority to different network slices so each gets fair performance. The study uses machine learning to speed up decisions about resource allocation. The results show that these methods work fast and accurately, but extra checks are needed when network conditions change or traffic is high. -
RAN Slicing with Inter-Cell Interference Control and Link Adaptation for Reliable Wireless Communications
This project focuses on improving 5G networks to handle two types of data traffic: one that needs very fast and reliable delivery, and another that carries large amounts of data. It proposes a new method to manage interference and resources without needing complex coordination between cells. The approach ensures reliable delivery and low delays for urgent data while using the network efficiently for high-data traffic. Simulations show it works better than existing methods.
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