USER CLUSTERING WITH USING MODIFIED K-MEANS IN PD-NOMA

• Main Author: Nugraha, Rizki
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/79655
• Institution: Institut Teknologi Bandung

Power Domain Non-Orthogonal Multiple Access (PD NOMA) is one of the many multiple access techniques applied to cellular communications to increase spectrum efficiency. In this technique, limited resources, for example, power and frequency, are allocated to several user devices (user equipment or UEs) in one cell in a non-orthogonal manner. A user clustering concept is required, where user devices are clustered or configured to increase the number of system levels. The aim of this final project is to produce a clustering algorithm or system that can increase the sum rate in PD-NOMA. This task is carried out using the K-means algorithm which will then be carried out in two types of modifications so that it will produce two different algorithms. Then, from the two algorithms, each sum rate will be calculated and will be compared with the sum rate of the conventional algorithm in NOMA and also compared with the sum rate of the Orthogonal Multiple Access (OMA) multiple access technique which in this case uses TDMA. The results show that the first modified algorithm is able to show a sum-rate value that is higher than the sum-rate of OMA and conventional NOMA. Meanwhile, the second modified algorithm, unfortunately, shows a sum-rate value that is lower than NOMA's conventional sum rate. However, both are still higher than the OMA number. The conclusion of this paper is that, with the right clustering algorithm, it is possible to increase the sum-rate on PD-NOMA which is better than the sum-rate on OMA so that it is very suitable for use on 5G networks.