TY - GEN
T1 - Interference Analysis in Multi-Numerology OFDM Systems
T2 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
AU - Mao, Juquan
AU - Farhang, Arman
AU - Zhang, Lei
AU - Chu, Zheng
AU - Xiao, Pei
AU - Gu, Sai
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - Multi-numerology multi-carrier (MN-MC) techniques are considered as essential enablers for RAN slicing in fifth-generation (5G) communication systems and beyond. However, utilization of mixed numerologies breaks the orthogonality principle defined for single-numerology orthogonal frequency division multiplexing (SN-OFDM) systems with a unified subcarrier spacing. This leads to interference between different numerologies, i.e., inter-numerology interference (INI). This paper develops metrics to quantify the level of the INI using a continuous-time approach. The derived analytical expressions of INI in terms of mean square error (MSE) and error vector magnitude (EVM) directly reveal the main contributing factors to INI, which can not be shown explicitly in a matrix form INI based on discrete-time calculations. Moreover, the study of power offset between different numerologies shows a significant impact on INI, especially for high order modulation schemes. The finding in this paper provides analytical guidance in designing multi-numerology (MN) systems, for instance, developing resource allocation schemes and interference mitigation techniques.
AB - Multi-numerology multi-carrier (MN-MC) techniques are considered as essential enablers for RAN slicing in fifth-generation (5G) communication systems and beyond. However, utilization of mixed numerologies breaks the orthogonality principle defined for single-numerology orthogonal frequency division multiplexing (SN-OFDM) systems with a unified subcarrier spacing. This leads to interference between different numerologies, i.e., inter-numerology interference (INI). This paper develops metrics to quantify the level of the INI using a continuous-time approach. The derived analytical expressions of INI in terms of mean square error (MSE) and error vector magnitude (EVM) directly reveal the main contributing factors to INI, which can not be shown explicitly in a matrix form INI based on discrete-time calculations. Moreover, the study of power offset between different numerologies shows a significant impact on INI, especially for high order modulation schemes. The finding in this paper provides analytical guidance in designing multi-numerology (MN) systems, for instance, developing resource allocation schemes and interference mitigation techniques.
KW - EVM
KW - MSE
KW - OFDM
KW - inter-numerology interference
KW - mixed numerolo-gies
UR - http://www.scopus.com/inward/record.url?scp=85112838383&partnerID=8YFLogxK
U2 - 10.1109/ICCWorkshops50388.2021.9473482
DO - 10.1109/ICCWorkshops50388.2021.9473482
M3 - Conference contribution
AN - SCOPUS:85112838383
T3 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
BT - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 June 2021 through 23 June 2021
ER -