TY - GEN
T1 - Survey Propagation for Cell-Free Massive MIMO Pilot Assignment
AU - Kim, Sunho
AU - Kim, Hong Ki
AU - Lee, Sang Hyun
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported in part by the NRF grant funded by the Korea government Ministry of Science and ICT (MSIT) under Grant 2019R1A2C1084855 and in part by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the MSIT (No. 2021-0-00467, Intelligent 6G Wireless Access System).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This work develops a survey propagation approach to distributed pilot assignment (PA) optimization in cell-free massive multiple-input multiple-output networks. The reuse of pilot signals among multiple links incurs the pilot contamination, thereby degrading the system performance. For sustainable management of pilot sequences, the PA operation policy can be formulated in a combinatorial way. To avoid large-scale computational loads, the resulting optimization task is approached in a novel distributed framework of survey propagation, which has been originally developed to address interacting particle systems in physics. A developed algorithm demonstrates outperforming behaviors over existing schemes with respect to the overall network throughput.
AB - This work develops a survey propagation approach to distributed pilot assignment (PA) optimization in cell-free massive multiple-input multiple-output networks. The reuse of pilot signals among multiple links incurs the pilot contamination, thereby degrading the system performance. For sustainable management of pilot sequences, the PA operation policy can be formulated in a combinatorial way. To avoid large-scale computational loads, the resulting optimization task is approached in a novel distributed framework of survey propagation, which has been originally developed to address interacting particle systems in physics. A developed algorithm demonstrates outperforming behaviors over existing schemes with respect to the overall network throughput.
UR - http://www.scopus.com/inward/record.url?scp=85146860479&partnerID=8YFLogxK
U2 - 10.1109/GCWkshps56602.2022.10008709
DO - 10.1109/GCWkshps56602.2022.10008709
M3 - Conference contribution
AN - SCOPUS:85146860479
T3 - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
SP - 1267
EP - 1272
BT - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022
Y2 - 4 December 2022 through 8 December 2022
ER -