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http://dx.doi.org/10.3837/tiis.2016.04.004

Multi-Cluster based Dynamic Channel Assignment for Dense Femtocell Networks  

Kim, Se-Jin (Department of Computer Science and Statistics, Chosun University)
Cho, IlKwon (Department of Network Planning, National Information Society Agency (NIA))
Lee, ByungBog (IoT Research Division, Electronics and Telecommunications Research Institute (ETRI))
Bae, Sang-Hyun (Department of Computer Science and Statistics, Chosun University)
Cho, Choong-Ho (Department of Computer and Information Science, Korea University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.4, 2016 , pp. 1535-1554 More about this Journal
Abstract
This paper proposes a novel channel assignment scheme called multi-cluster based dynamic channel assignment (MC-DCA) to improve system performance for the downlink of dense femtocell networks (DFNs) based on orthogonal frequency division multiple access (OFDMA) and frequency division duplexing (FDD). In order to dynamically assign channels for femtocell access points (FAPs), the MC-DCA scheme uses a heuristic method that consists of two steps: one is a multiple cluster assignment step to group FAPs using graph coloring algorithm with some extensions, while the other is a dynamic subchannel assignment step to allocate subchannels for maximizing the system capacity. Through simulations, we first find optimum parameters of the multiple FAP clustering to maximize the system capacity and then evaluate system performance in terms of the mean FAP capacity, unsatisfied femtocell user equipment (FUE) probability, and mean FAP power consumption for data transmission based on a given FUE traffic load. As a result, the MC-DCA scheme outperforms other schemes in two different DFN environments for commercial and office buildings.
Keywords
OFDMA-FDD; Femtocell networks; Dynamic channel assignment; Multiple clustering; Graph coloring; Interference mitigation;
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