TBER and SINR Evaluation for Interference Sensitivity Assessment in 5G NR Networks for Bands above 6 GHz

Abstract

For high mobility users in a 5G NR network, interference management becomes a big challenge. Efficient RRM (Radio Resource Management) plays a primary role in increasing the Signal to Interference and Noise Ratio (SINR) values, and also in decreasing signal Transport Block Error Rate (TBER). To this end, the evaluation of these two parameters actively participates in the propagation channel sensitivity prediction. Thus, radio resources allocation must be efficient and powerful. Therefore, eight scheduling algorithms were developed and programmed into the mmWave model of NS-3 simulator. The simulations were run for different types of data flows, and the achieved results were evaluated in terms of SINR and TBER. The performance of most schemes in a typical 5G NR environment is satisfactory. In terms of SINR, and for the RT (Real Time) flows, MLWDF, EXP-Rule and our algorithm EXP-MLWDF ensure more reliability compared to other schemes, with values of around 25 dB for VOIP traffic and around 30 dB for video streams, whereas PF and Max-Rate allow better values for BE flows, with achievements greater than 20 dB, which presents improvements of about 60% compared to other schemes. On the other hand, PF, EXP-PF, EXP-Rule, Log-Rule and EXP-MLWDF ensure optimal values of TBER for RT flows, by achieving stable performance with a rate of less than 0.5% for VOIP, and around 0.1% for Vi5G. These values represent a reduction of 100% compared to other scheduling strategies. For NRT (Non-RT) flows, EXP-Rule and MLWDF have the best achievements and they quickly reach stability, with values between 0.4 and 1.4%, which represents an improvement of 70% in comparison with the concurrent schemes.