Intelligent paging strategy based on location probability of mobile station and paging load distribution in mobile communication networks
Dongjun Lee, HyeJeong Lee, Dong‐Ho Cho
Abstract
Dongjun Lee, HyeJeong Lee, Dong‐Ho Cho
Abstract
When the cells in a location area are paged sequentially based on the specific information such as last registered area or mobile speed, paging load may be nonuniformly distributed among the cells. This nonuniform paging traffic causes additional paging delay due to the increase of waiting time in the cell with high paging load. In this paper, we introduce a new paging strategy in which the paging sequence in a location area is optimized based on both the location probability of a mobile terminal and paging load distribution among the cells. From numerical results, we show that the paging cost of our proposed scheme is very close to the optimal one. In addition, we observe the effects of the paging load distribution and the location probability distribution on the paging cost.
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When the cells in a location area are paged sequentially based on the specific information such as last registered area or mobile speed, paging load may be nonuniformly distributed among the cells. This nonuniform paging traffic causes additional paging delay due to the increase of waiting time in the cell with high paging load. In this paper, we introduce a new paging strategy in which the paging sequence in a location area is optimized based on both the location probability of a mobile terminal and paging load distribution among the cells. From numerical results, we show that the paging cost of our proposed scheme is very close to the optimal one. In addition, we observe the effects of the paging load distribution and the location probability distribution on the paging cost.
Key concepts: Paging, Computer science, Computer network, Real-time computing