A Dynamic Cell Clustering Algorithm for Maximization of Coordination Gain in Uplink Coordinated System

Misun Yoon, Myoung Seok Kim, Chungyong Lee

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

We propose a dynamic clustering algorithm for maximizing a coordination gain in the uplink coordinated system. The dynamic clustering algorithm configures clusters periodically to adopt the change of the channel environment. Since the greedy-search clustering algorithm does not guarantee cell-edge users' performance and the full-search clustering algorithm (FSCA) is highly complex, we define a coordination gain between the coordinated communication system and the single-cell communication system, as a new parameter, to maximize the benefit of the coordinated communication system. We develop a maximum coordination gain (MAX-CG) clustering algorithm to maximize the coordination gain and an interference weight (IW) clustering algorithm to reduce complexity and guarantee the data rate of cell-edge users. Simulation results show that the MAX-CG clustering algorithm improves the average user rate and the 5% edge user rate. The IW clustering algorithm improves the 5% edge user's rate, guarantees the fairness among the cells, and reduces the complexity to only half of the existing algorithm.

Original languageEnglish
Article number7061997
Pages (from-to)1752-1760
Number of pages9
JournalIEEE Transactions on Vehicular Technology
Volume65
Issue number3
DOIs
Publication statusPublished - 2016 Mar

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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