Number-Based Clustering With Power Level Difference for Composite Fading Channels in Cell-Free Networks

A cell-free (CF) network with cloud radio access and user-centric clustering is a good option for forming user serving access point (AP) clusters. However, the cluster size should be limited in terms of cooperation complexity and cooperation gain. This paper developed a stochastic geometry approach to evaluate the performance of number-based clustering (NBC) with power level difference (PLD) under composite fading channels in the CF network. The specific cluster size of a typical user can be determined, and the effects of different network parameters on association probability and average data rate are analyzed. The results show that considering shadowing in the association model and channel conditions may weaken the cooperative gain and probability.

Authors

Institutions

Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-05-09
DOI
https://doi.org/10.1109/lwc.2025.3568132
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Number-Based Clustering With Power Level Difference for Composite Fading Channels in Cell-Free Networks

Wei Huang, Yi Jiang, Kai Sun
1 citations
IEEE Wireless Communications Letters
Advanced MIMO Systems Optimization
0.73
article

Number-Based Clustering With Power Level Difference for Composite Fading Channels in Cell-Free Networks

Wei Huang, Yi Jiang, Kai Sun
article en
1 citations

Abstract

A cell-free (CF) network with cloud radio access and user-centric clustering is a good option for forming user serving access point (AP) clusters. However, the cluster size should be limited in terms of cooperation complexity and cooperation gain. This paper developed a stochastic geometry approach to evaluate the performance of number-based clustering (NBC) with power level difference (PLD) under composite fading channels in the CF network. The specific cluster size of a typical user can be determined, and the effects of different network parameters on association probability and average data rate are analyzed. The results show that considering shadowing in the association model and channel conditions may weaken the cooperative gain and probability.

IEEE Wireless Communications LettersVol. 14(7)
Inner Mongolia University (CN), Academic Degrees & Graduate Education (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Affordable and clean energy
Openalex Percentile: Top 29%
Advanced MIMO Systems Optimization
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.