Abstract
To acquire higher network capacity, the cell selection problem is formulated based on the partially observable Markov decision process (POMDP). It observes/predicts unavailable cell loading information from those non-serving base stations and takes actions for maintaining active base station set and handover target selection. Various utility functions are designed to consider different factors in the proposed POMDP-based cell selection (POCS) schemes, including system capacity, handover time, and mobility of mobile station. With the considerations of cell load as a hidden Markov model and predicted mobility in the reward function, simulation results show that the proposed POCS schemes can outperform conventional received signal strength based and load balancing methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.