Dynamic optimization of generalized least squares handover algorithms

2019-12-13 16:00

Dynamic Optimization of Generalized Least Squares Handover Algorithms Bibliographic Code: 2012arXiv1211. 3307F: Abstract Efficient handover algorithms are essential for highly performing mobile wireless communications. is difficult in a time varying context, unless adaptive strategies are used. In this paper, a new approach for theAbstractAn adaptive handover algorithm for wireless communication systems is addressed in this extended abstract. Moving from the Generalized Extended Least Square handover algorithm in [1, we model the handover mechanism as an hybrid system, and we include it in a dynamic optimization dynamic optimization of generalized least squares handover algorithms

A distributed optimization algorithm is then developed to maximize handover performance. From an extensive set of results obtained by numerical computations and simulations, it is shown that the proposed algorithm improves performance of the handover considerably when compared to more traditional approaches.

Title: Dynamic Optimization of Generalized Least Squares Handover Algorithms Authors: Carlo Fischione, George Athanasiou, Fortunato Santucci (Submitted on 14 Nov 2012) An Enhanced Mobility State Estimation Based Handover Optimization Algorithm in LTEA Self Dynamic Optimization of Generalized Least Squares Handover Algorithms. In: Wireless Communications, 2014. p. . C. Fischione, G. Athanasiou, F. SantucciDynamic Optimization of Generalized Least Squares Handover Algorithms. In: Wirelessdynamic optimization of generalized least squares handover algorithms Dynamic Optimization of Generalized Least Squares Handover Algorithms Article (PDF Available) in IEEE Transactions on Wireless Communications 13(3) November 2012 with 49 Reads

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1 Dynamic Optimization of Generalized Least Squares Handover Algorithms Carlo Fischione, George Athanasiou, Fortunato Santucci arXiv: 1211. 3307v1 [cs. NI 14 Nov 2012 Abstract Efficient handover algorithms are essential for highly performing mobile wireless communications. dynamic optimization of generalized least squares handover algorithms Dynamic optimization of generalized least squares handover algorithms. Fischione, Carlo. KTH, School of Electrical Engineering (EES), Automatic Control. Dynamic optimization, Generalized least square, Handover performance, Optimization approach, Probability of outage, Seamless connectivity, Traditional approaches, Optimization National Moving from the Generalized Extended Least Square handover algorithm in (1), we model the handover mechanism as an hybrid system, and we include it in a dynamic optimization problem. Moving from the Generalized Extended Least Square handover algorithm proposed in N. Benvenuto et al. (2002), we model the handover mechanism as a hybrid system, and we include it in a dynamic optimization problem which is solved through the use of a trellis diagram. Dynamic Optimization of Generalized Least Squares Handover Algorithms. By Carlo Fischione, George Athanasiou and Fortunato Santucci. Abstract. Efficient handover algorithms are essential for highly performing mobile wireless communications. These algorithms depend on numerous parameters, whose settings must be appropriately optimized to offer