User-Motion Trajectory Paging for Ultra-Dense Networks

The patent applies local quality by differentiating paging strategies for different user equipment types. Connected mode UE uses cell-specific paging, while idle/inactive mode UE uses tracking area-based paging. This localized approach optimizes resource consumption for each category rather than applying a uniform paging policy to all users, thereby reducing overall signaling overhead while maintaining adequate coverage.

The patent segments the network into macro cells and small cells with distinct paging mechanisms. Macro cells handle tracking area management and initial paging, while small cells provide localized paging for connected users. This segmentation allows the system to avoid paging all small cells simultaneously, reducing resource consumption while maintaining comprehensive coverage through hierarchical paging.

The patent implements preliminary action by having user equipment report their motion trajectories in advance. The network uses this historical movement data to predict future locations and pre-determine optimal paging regions. This allows the system to concentrate paging instructions in predicted locations rather than broadcasting to all possible cells, reducing the total number of paging messages while improving success rates through targeted paging.

The patent applies dynamics by making paging regions adaptive rather than static. The paging area dynamically adjusts based on real-time motion trajectory analysis and predicted user movement patterns. This dynamic approach allows the system to expand paging coverage only in directions where users are likely to move, reducing unnecessary paging instructions in areas where users are not expected to be present.

The patent applies preliminary action by collecting and analyzing motion trajectory data before paging operations are needed. User equipment continuously reports location information, and the network builds historical movement patterns in advance. This pre-collected data enables accurate prediction of user locations during paging, compensating for the high mobility caused by dense small cell deployment without requiring frequent handovers or extensive paging.

The patent introduces motion trajectory analysis as an intermediary layer between the physical cell structure and the paging mechanism. Rather than directly responding to cell switching events, the system uses trajectory patterns to predict user locations and guide paging decisions. This intermediary approach decouples paging performance from the high mobility inherent in ultra-dense networks, allowing dense deployment for capacity while maintaining paging effectiveness.