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Terminal-based Dynamic Clustering Algorithm in Multi-Cell Cellular System
( Jiqing Ni ),( Zesong Fei ),( Chengwen Xing ),( Di Zhao ),( Jingming Kuang ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.9
A terminal-based dynamic clustering algorithm is proposed in a multi-cell scenario, where the user could select the cooperative BSs from the predetermined static base stations (BSs) set based on dynamic channel condition. First, the user transmission rate is derived based on linear precoding and per-cell feedback scheme. Then, the dynamic clustering algorithm can be implemented based on two criteria: (a) the transmission rate should meet the user requirement for quality of service (QoS); (b) the rate increment exceeds the predetermined constant threshold. By adopting random vector quantization (RVQ), the optimized number of cooperative BSs and the corresponding channel conditions are presented respectively. Numerical results are given and show that the performance of the proposed method can improve the system resources utilization effectively.
You Fu,Zesong Fei,Niwei Wang,Chengwen Xing,Lei Wan 한국산학기술학회 2013 SmartCR Vol.3 No.1
Deploying PicoStations in traditional Macro-cellular networks, especially in hot-spot areas, is a promising strategy to boost system throughput and enhance indoor coverage. However, PicoStations’ introduction brings some new problems, such as severe interference and energy consumption, which may result in performance degradation. In order to improve energy efficiency, throughput fairness and PicoStation coverage, a practical energy-efficient dense PicoStation deployment and power control algorithm is proposed. The proposed scheme maximizes both the number of active PicoStations that can achieve the required capacity and the sum cell capacity under individual capacity constraints in two steps. Finally, simulation results demonstrate that the proposed algorithm outperforms the traditional cell capacity maximum scheme in terms of user fairness and energy saving.