Abstract
Not surprisingly, ultra-massive interconnection composed of extremely small to minuscule networks that are significantly overloaded is required for the fifth generation (5G) and the next sixth generation (6G) networks. In order to meet the demands for network flexibility, complete coverage, and huge access, the conventional radio access network (RAN) will be completely revamped. This study focuses on the technological trends in the requirements-fulfilling Open RAN (ORAN) architecture and essential technologies in this regard. In particular, we investigate the potential of Radio over Fibre (RoF) and Passive Optical Networks (PON) for Open Optical Front Hauls (OOFH) and trends in AI algorithms for enhancing system performance and network intelligence simultaneously. The article showcases experimental results using OpenRAN Gym, an open-source, practical platform designed for end-to-end system design, data collection, and testing workflows aimed at intelligent control in next-generation Open RAN systems. Two xApps developed with OpenRAN Gym are demonstrated, managing a large-scale network of 10 base stations and 60 users deployed on the Colosseum testbed. Performance is assessed by analyzing transmitted packets and buffer occupancy. Additionally, an OFH system with Analog RoF is tested, using linearisation techniques to reduce the Error Vector Magnitude (EVM) to below 2%. The study also includes an experimental MIMO Fi-Wi OFH case, where a 5G new radio waveform achieves a 3% EVM, complying with the 3GPP standards.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call