Decomposition Based Congestion Analysis of the Communication in B5G/6G TeraHertz High-Speed Networks

The New MAC mechanism plays a key role in achieving the needed requirements of B5G/6G radio technology and helps to avoid high-speed frequency issues limitations. With help ns-3 simulator, we generated 42 different cases for purpose analyzing impact network load on overall effective transmission rate. Therefore, use data-adaptive decomposition method Empirical Mode Decomposition (EMD) our non-stationary system benefits extraction important meaningful components. However, due highlighted direction dependency finding EMD, Ensembled EMD (EEMD) being independent shows better performance data series. extracted trend based proposed matches fitting curve, while curve parameters can be clusterized into 2 main clusters congested non-congested channel throughput signal.