TY - GEN
T1 - Statistical Modelling of Massive MIMO Channel at FR2 Frequency Bands for B5G Networks
AU - Sharini, D. L.
AU - Dilli, Ravilla
AU - Kanthi, M.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The rapid growth of extreme data traffic and over occupied networks are the current challenges in the wireless communication networks. However, next generation networks tackle them by utilizing vast frequency bands. These are FR2/FR1 frequency bands that play an important role in next-generation technologies, namely B5G or 6G. mmWave being one of those technologies, also utilize such frequency bands. Nevertheless, massive antennas and propagation characteristics of the channel model describes its behavior and some crucial aspects that need to be considered when operating on FR2 frequency bands for 5G NR networks. This paper analyzes the behavior of a mmWave massive MIMO channel at FR1 and FR2 frequency bands under for specific atmospheric conditions. The channel behavior was simulated using NYUSIM software and the performance metrics include path loss, received power, and path loss exponent of the channel power delay profile.
AB - The rapid growth of extreme data traffic and over occupied networks are the current challenges in the wireless communication networks. However, next generation networks tackle them by utilizing vast frequency bands. These are FR2/FR1 frequency bands that play an important role in next-generation technologies, namely B5G or 6G. mmWave being one of those technologies, also utilize such frequency bands. Nevertheless, massive antennas and propagation characteristics of the channel model describes its behavior and some crucial aspects that need to be considered when operating on FR2 frequency bands for 5G NR networks. This paper analyzes the behavior of a mmWave massive MIMO channel at FR1 and FR2 frequency bands under for specific atmospheric conditions. The channel behavior was simulated using NYUSIM software and the performance metrics include path loss, received power, and path loss exponent of the channel power delay profile.
UR - https://www.scopus.com/pages/publications/85152198114
UR - https://www.scopus.com/pages/publications/85152198114#tab=citedBy
U2 - 10.1109/AICAPS57044.2023.10074158
DO - 10.1109/AICAPS57044.2023.10074158
M3 - Conference contribution
AN - SCOPUS:85152198114
T3 - 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023
BT - 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023
Y2 - 1 February 2023 through 3 February 2023
ER -