ancies. Hence, the capacity is affected negatively. To make a more realistic system, the authors of [3] remove the least selected numerol- ogy from a parameter set and repeat the numerology assignment step without the elimi- nated numerology. They try to decrease redundancy in the system while maintaining the UE #1 requirements Waveform UE #3 station parameters UE #3 UE #2 UE #3 requirements UE #1 UE #2 requirements UE #1 requirements Waveform parameter decisions Figure 7.5 An example demonstration for the numerology assignment to UEs. Source: Reprinted and adapted with permission from Yazar and Arslan [3]. Copyright 2018, IEEE. 7.3 Waveform Parameter Assignment flexibility as much as possible. In the subsequent steps, they check the amount of redun- dancy, and then stop or continue to eliminate numerologies that are selected less frequently. This method finds an optimum point considering the redundancies and system flexibil- ity. However, it does not include waveform processing techniques while optimizing the numerology assignments. 5G NR optional waveform processing methods include windowing and filtering for each numerology subframe or composite signal subframe. Windowing can be at the transmitter or receiver. Additionally, inter-numerology guard band is optional and it can be in a fixed or an adaptive manner. For example, Demir and Arslan [14] present one of the adaptive guard band algorithm examples. The authors adaptively change the guard bands between mul- tiple numerologies considering the average desired signal-to-noise-plus-interference ratio (SINR) and power levels of each user. On the contrary, employing fixed amount of guard bands rather than adaptive ones is not an optimum method but it decreases the scheduling complexity. In [14], it is assumed that optimal numerology assignment is done before applying adap- tive guard band algorithms. However, it is not a realistic scenario because different amounts of guard bands can have effects on the numerology assignment recursively. Therefore, there is a nee