Movement-based location update and selective paging for PCS networks
IEEE/ACM Transactions on Networking (TON)
Optimal Location Area Design to Minimize Registration Signaling Traffic in Wireless Systems
IEEE Transactions on Mobile Computing
Efficient location area planning for personal communication systems
IEEE/ACM Transactions on Networking (TON)
ICT'09 Proceedings of the 16th international conference on Telecommunications
Mitigating mobility signaling congestion in LTE by overlapping tracking area lists
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Performance and cost trade-off in Tracking Area reconfiguration: A Pareto-optimization approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
Reducing location update and paging costs in a PCS network
IEEE Transactions on Wireless Communications
Location area planning and cell-to-switch assignment in cellular networks
IEEE Transactions on Wireless Communications
A profile-based location strategy and its performance
IEEE Journal on Selected Areas in Communications
Location management for next-generation personal communications networks
IEEE Network: The Magazine of Global Internetworking
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Avoiding signaling congestion is a key aspect in location management of cellular networks. The signaling load in this context corresponds to the use of location update and paging messages for tacking user equipments (UEs). Signaling congestion may occur due to many UEs behaving in a similar manner, e.g., massive and simultaneous UE mobility in a train movement scenario. For Long Term Evolution (LTE) networks, location management can be based on the use of tracking area lists (TALs), each being a list containing multiple tracking areas (TAs). In this paper, the scheme of using TALs with overlapping TAs is applied for signaling congestion mitigation. One or multiple TALs that potentially overlap are allocated to each cell, and the TALs are assigned to the UEs that make their location updates in the cell. We derive linear programming formulations for finding the optimal proportional use of overlapping TALs for congestion avoidance. The main advantage of our approach is that it does not require the collection of detailed UE mobility information apart from what is available to the network. We report numerical results for realistic scenarios. The optimization approach yields promising results for reducing signaling congestion, and the performance region of optimized overlapping TALs goes significantly beyond the capability of the conventional TA scheme.