1 research outputs found
Dynamic Optimization of Generalized Least Squares Handover Algorithms
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 a seamless connectivity.
Nevertheless, such an optimization is difficult in a time varying context,
unless adaptive strategies are used. In this paper, a new approach for the
handover optimization is proposed. First, a new modeling of the handover
process by a hybrid system that takes as input the handover parameters is
established. Then, this hybrid system is used to pose some dynamical
optimization approaches where the probability of outage and the probability of
handover are considered. Since it is shown that these probabilities are
difficult to compute, simple approximations of adequate accuracy are developed.
Based on these approximations, a new approach to the solution of the handover
optimizations is proposed by the use of a trellis diagram. 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 allows to improve performance of the
handover considerably when compared to more traditional approaches