Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Optimization of wireless resources for personal communications mobility tracking
IEEE/ACM Transactions on Networking (TON)
Reducing location update cost in a PCS network
IEEE/ACM Transactions on Networking (TON)
Optimal dynamic mobility management for PCS networks
IEEE/ACM Transactions on Networking (TON)
A dynamic location management scheme for next-generation multitier PCS systems
IEEE Transactions on Wireless Communications
An alternative strategy for location tracking
IEEE Journal on Selected Areas in Communications
Location management for next-generation personal communications networks
IEEE Network: The Magazine of Global Internetworking
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Mobile Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Sensitivity study of location management area partitioning in cellular communication systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
Performance improvement of LTE tracking area design: a re-optimization approach
Proceedings of the 6th ACM international symposium on Mobility management and wireless access
Network performance model for location area re-planning in GERAN
Computer Networks: The International Journal of Computer and Telecommunications Networking
Performance and cost trade-off in Tracking Area reconfiguration: A Pareto-optimization approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mitigating signaling congestion in LTE location management by overlapping tracking area lists
Computer Communications
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In this paper, a new scheme is developed for optimal location area design in wireless systems. New algorithms based on intercell traffic prediction and traffic-based cell grouping are used to select the optimal set of cells for location areas (LAs). The expected intercell movement patterns of mobiles are determined by using the new intercell traffic prediction algorithm. Further, the cells are partitioned into LAs by applying the new traffic-based cell grouping algorithm where the cell pairs with higher intercell mobile traffic are grouped into the same LA. Hence, the inter-LA mobile traffic is decreased by increasing the intra-LA mobile traffic. Experimental results show that this cell grouping algorithm reduces the number of location updates by 27 percent to 36 percent on average compared to proximity-based cell grouping schemes.