Solutions for Bandwidth Management in 5G NR systems
NR, 5G-LENA, Carrier Aggregation, Bandwidth Parts, Machine Learning.
The fifth generation (5G NR) of the 3GPP communication network proposes a variety of use cases, ranging from improved mobile broadband communications (eMBB) to ultra reliable and very low delay communications (URLLC), in addition to massive communications between machines (mMTC). This work aims to explore bandwidth management techniques, such as bandwidth partitions (BWPs) and carrier aggregation (CA), and optimize them for 5G NR systems, considering the greater availability of bandwidth and the need to allocate this resource intelligently. In addition to the description of the problem, a bibliometric study and related works are presented. Then, a preliminary performance analysis of the use of carrier aggregation (CA) is presented using the ns-3 5G-LENA simulator. We provide a study about contiguous and non-contiguous bands, considering different band partitions, transmission rates and distances. Such results delimit our reference performance and demonstrate the use of the prototyping tool. Finally, the idea of dynamic switching of bandwidth partitions (BWP) by machine learning is presented, as well as the execution schedule for the completion of the work.