Trial Results of Intelligent Paging in GERAN

In cellular networks, location managements has a strong impact on signaling load. To minimise mobility-based signaling traffic. Location Areas (LAs) have to be defined correctly. Large LAs increase paging traffic, while small LAs increase location updates. Thus, operators have to trade-off these two constraints to maximize network performance. Several authors have proposed selective paging to reduce paging load. This paper describes an intelligent paging algorithm based on most-recent interaction data. Trial results in a live GSM-EDGE Radio Access Network (GERAN) show that the algorithm can reduce paging traffic significantly, while keeping paging success rates almost unaltered.