TY - GEN
T1 - Cell search for a millimeter wave cellular system with 1-bit quantization at the receiver
AU - Roth, Kilian
AU - Miao, Honglei
AU - Nossek, Josef A.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/5
Y1 - 2016/7/5
N2 - For 5G it will be important to leverage the avail- able millimeter wave spectrum. Communication at high carrier frequencies requires antenna arrays at both the base and mobile station. A 1-bit analog to digital converter can effectively reduce the complexity and power consumption of the analog frontend. This is especially interesting in the context of large antenna arrays with a sizable signal bandwidth. In this paper we investigate the cell search capabilities of a mobile station with an antenna array and an analog frontend with 1-bit quantization behind each antenna. We derive the Likelihood Ratio Test (LRT) for this problem with full channel knowledge. We also show the generalized Likelihood Ratio Test (GLRT) for a case without channel knowledge, and compare the performance to practical algorithm based on correlation. We show that the practical correlation achieves a similar performance compared to the theoretical optimal GLRT. Compared to a system with high resolution analog to digital conversion our results show the theoretical derived SNR gap of 2 dB.
AB - For 5G it will be important to leverage the avail- able millimeter wave spectrum. Communication at high carrier frequencies requires antenna arrays at both the base and mobile station. A 1-bit analog to digital converter can effectively reduce the complexity and power consumption of the analog frontend. This is especially interesting in the context of large antenna arrays with a sizable signal bandwidth. In this paper we investigate the cell search capabilities of a mobile station with an antenna array and an analog frontend with 1-bit quantization behind each antenna. We derive the Likelihood Ratio Test (LRT) for this problem with full channel knowledge. We also show the generalized Likelihood Ratio Test (GLRT) for a case without channel knowledge, and compare the performance to practical algorithm based on correlation. We show that the practical correlation achieves a similar performance compared to the theoretical optimal GLRT. Compared to a system with high resolution analog to digital conversion our results show the theoretical derived SNR gap of 2 dB.
UR - https://www.scopus.com/pages/publications/84979741924
U2 - 10.1109/VTCSpring.2016.7504153
DO - 10.1109/VTCSpring.2016.7504153
M3 - Conference contribution
AN - SCOPUS:84979741924
T3 - IEEE Vehicular Technology Conference
BT - 2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 83rd IEEE Vehicular Technology Conference, VTC Spring 2016
Y2 - 15 May 2016 through 18 May 2016
ER -