Design and optimization of Bandwidth Part selection for massive beamforming
Abstract: In the last 30 years, a new mobile communications generation has been developed every 7 to 10 years. The last one that is currently under development is the Fifth Generation. This generation aims to fulfill a wide range of requirements for different use cases. To that end, a new radio access technology called New Radio (NR) has been developed. The main design principle behind NR is to allow enough flexibility to meet all the new requirements. This flexibility is, for instance, reflected in the use of the spectrum, where the concept of Bandwidth Part (BWP) was created. NR supports a large bandwidth in comparison to previous generations. However, not all the User Equipment (UEs) can manage such a large bandwidth. As a consequence, the concept of BWPs was introduced. By using BWPs, the carrier can be subdivided and used for different purposes, although the use of BWPs might affect other NR features, such as beamforming. Thus, the impact of BWPs in MU-MIMO grouping had to be analyzed. However, the bandwidth parts also create an opportunity to optimize the use of MU-MIMO grouping concurrently with BWPs. For that reason, we developed a BWP selection algorithm in this project that is able to respond to the beamforming degradation. In order to develop that algorithm, a simulator following the specifications of the 3GPP was designed and implemented in MATLAB. As beamforming was one of the cornerstones of the project, a realistic channel model with spatial consistency was needed. We selected WINNER II for the channel model. Then, the BWP selection algorithm, which based on the Direction of Arrival for selecting the optimal MU-MIMO grouping, was developed. The results of the simulations show that the algorithm optimizes the Bit Error Rate performance when the beamforming is degraded.
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