ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper A Delete-based Beam Selection Algorithm for Cell-free Networks
Cited 2 time in scopus Download 3 time Share share facebook twitter linkedin kakaostory
Authors
Seungkwon Cho, In-Kyeong Choi, Donghyuk Gwak, Hong Seung Eun
Issue Date
202110
Source
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1620-1624
DOI
https://dx.doi.org/10.1109/ICTC52510.2021.9620966
Project Code
21HH1100, 5G Open Intelligence-Defined RAN (ID-RAN) Technique based on 5G New Radio, Jeehyeon Na
Abstract
In this paper, we propose a novel beam selection algorithm for cell-free networks. Taking into account practical channel measurements available in cell-free networks, the sum of reference signal received power (RSRP) at a user equipment (UE) is utilized as the metric for beam selection. Beam selection is formulated as a max-min optimization problem and modeled as edge selection in a complete bipartite graph in which a weight for an edge is the RSRP at a UE. By deleting the edges other than those connected to the UE with the smallest weight, the proposed algorithm solves the formulated problem. Simulation results show that the proposed algorithm outperforms the other investigated algorithms.
KSP Keywords
Channel measurement, Complete bipartite graph, Edge selection, Optimization problem, Reference Signal Received Power, User equipment(UE), beam selection, cell-free, max-min, selection algorithm, simulation results