10th EAI International Conference on Communications and Networking in China

Research Article

ICIC-based Small Cell On/Off Schemes for LTE-A Networks

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260641,
        author={Tingting Zhu and Nan Liu and Zhiwen Pan and Xiaohu You},
        title={ICIC-based Small Cell On/Off Schemes for LTE-A Networks},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={non-full buffer small cell cooperation small cell enhancement small cell on/off user-cell association},
        doi={10.4108/eai.15-8-2015.2260641}
    }
    
  • Tingting Zhu
    Nan Liu
    Zhiwen Pan
    Xiaohu You
    Year: 2015
    ICIC-based Small Cell On/Off Schemes for LTE-A Networks
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260641
Tingting Zhu1, Nan Liu1,*, Zhiwen Pan1, Xiaohu You1
  • 1: Southeast University
*Contact email: nanliu@seu.edu.cn

Abstract

In Small Cell Enhancement (SCE) scenarios, the network exhibit dramatic dynamics in load, user distribution and interference due to the fact that a large number of small cells coexist in the coverage area of the macro cells. Small cell on/off is a key technology to adapt to the network dynamics. In this paper, we propose two small cell on/off algorithms that fully take into consideration the interference between the small cells to decide which cells to turn on/off. The first algorithm is an ideal dynamic small cell on/off scheme which finds the small cells that are causing serious interference and schedule these small cells to take turns in transmitting their data on every subframe. The second proposed algorithm is a semi-static small cell on/off algorithm which operates in two steps. First, a small cell is turned off if it causes serious interference and the performance gain brought by it being on is marginal. Then, users are ordered according to their received maximum signal-to-interference-and-noise (SINR) over all cells that are still on. Users with a higher maximum SINR choose the cell that offers the maximum SINR, and the remaining users choose a cell that has a relatively low load and offers a relatively high SINR. Simulations show that the proposed schemes have better performance in terms of average user perceived throughput and tail user perceived throughput compared with existing schemes.