Enhancement of Cooperative NOMA Performance via Integration withm-MIMO and Caching
TL;DR
The results demonstrated that integrating C-NOMA with caching and m-MIMO leads to better performance in sum rate, latency reduction, and throughput for different file sizes, different networks traffic, different users and stations numbers and different power allocation levels.
Abstract
The demand for data and the spectrum utilization together with interference issues and energy use requirements and sustainability objectives and reduced latency needs have become the main driving forces behind developing 6G mobile networks. High-definition videos along with augmented reality and virtual reality and connected devices in the Internet of Things (IoT) are main factors behind the network growth. This research aims to examine the strategic combination of C-NOMA cooperative access and massive MIMO antennas with caching data entities to boost the operational qualities of these networks. The combined system seeks to manage escalating data volumes better. This research proposed a combination of C-NOMA with massive MIMO along with caching functions to boost 6G network operations in dynamic form. NYSIM along with MATLAB simulations are used to evaluate the performance of this system against different setups that implement massive MIMO technology in 6G communication networks. The results demonstrated that integrating C-NOMA with caching and m-MIMO leads to better performance in sum rate, latency reduction, and throughput for different file sizes, different networks traffic, different users and stations numbers and different power allocation levels. The results also show improvement gained in sum rate, throughput, latency reduction when compared with other recent studies too. Finally, integration results lead to higher-level performance improvement in the 6G mobile networks.