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Dynamic Small-Cell Clustering Using Affinity Propagation Algorithm in Asynchronous 5G NR OFDM Systems

Authors
Park, SejuJo, Han-ShinMun, CheolYook, Jong-Gwan
Issue Date
Nov-2021
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
affinity propagation; clustering; Joint transmission; OFDM; time asynchronous reception
Citation
IEEE Communications Letters, v.25, no.11, pp.3629 - 3633
Indexed
SCIE
SCOPUS
Journal Title
IEEE Communications Letters
Volume
25
Number
11
Start Page
3629
End Page
3633
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/192155
DOI
10.1109/LCOMM.2021.3108577
ISSN
1089-7798
Abstract
In a joint transmission (JT) system using orthogonal frequency-division modulation (OFDM), performance degradation due to asynchronous interference resulting from the time difference of arrival is unavoidable. We propose an affinity propagation clustering (APC) algorithm for radio remote heads clustering for downlink JT in an asynchronous OFDM system. In particular, by closely connecting the principles of APC and JT with synchronization mismatch, we newly design pairwise similarities and preferences of the APC algorithm. The proposed algorithm provides 1.5 times higher 5-percentile user spectral efficiency than the APC algorithm with a conventional similarity matrix, and it has the same time complexity in term of big O notation.
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