Channel Estimation and Human Dynamics-Based Mobility Management and Load Balancing in Femto Cells

Project Details


The next generation wireless communication systems may operate on higher carrier frequency andthrough wider bandwidth due to unoccupied frequency bands. The cellular size will shrink because themicrowave propagation in high frequency is short and the amount of small-size base stations increase. Due todeployment of end consumers and due to the random placement, effective coordination of interference in aresidential area becomes more challenging to achieve than those currently deployed by mobile networkoperators. In this project, a human dynamic model and a strategy of self-organized interference coordinationis proposed. The indoor mobility management technique is brought here as a core technique. A hiddenMarkov model (HMM) is built based on the statistics of users’ behaviors in the residential area. To reduceinterference, extended Kalman filter (EKF) or unscented Kalman filter (UKF) will be exploited to predictusers’ movement before moving to an interference-rich region. On the other hand, if two neighboring basestations can establish an control channel, the cell size can be dynamically modified in order to achievespatially optimal data throughput with assistance from proper cooperative protocols. The strategy is testedthrough computer simulation based on a few user moving models. It is also compared with conventionalinterference coordination techniques.
Effective start/end date1/08/1731/07/18

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 12 - Responsible Consumption and Production
  • SDG 17 - Partnerships for the Goals


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