Abstract-This paper presents a self-optimizing solution for Mobility Load Balancing (MLB). The MLB-SON is performed in two phases. In the first, a MLB controller is designed using Multi-Objective Particle Swarm Optimization (MO-PSO) which incorporates a priori expert knowledge to considerably reduce the search space and optimization time. The dynamicity of the optimization phase is addressed. In the second phase, the controller is pushed into the base stations to implement the MLB SON. The method is applied to dynamically adapt Handover Margin parameters of a large scale LTE network in order to balance traffic of the network eNodeBs. Numerical results illustrate the benefits of the proposed solution.
The self-adaptive correlation method (SACM), based on a temporal processing, consists in treating the reflectogram in order to amplify the signatures of soft defects and make them more easily detectable. The algorithm amplifies any signature correlated with the injection pulse. Amplification is more important as the amplitude of the soft defect is low, and reciprocally. Thus, this method allows to highlight the soft defect while attenuating the noise present on the reflectogram. The term "self-adaptive" means that the gain is automatically adjusted depending on the amplitude of the soft defect signature. This method is applicable to different reflectometry techniques with different waveforms and different position of the defect in the cable. This innovative approach has the advantage of reducing the computational complexity compared to the state of the art.
International audienceThis paper derives the optimal single input multiple output (SIMO) maximum likelihood sequence estimation (MLSE) receiver for the detection of quadrature amplitude modulations corrupted by potentially noncircular, stationary white or colored zero-mean Gaussian noise. It is proved that this receiver is composed by a widely linear (WL) filter followed by a modified version of the Viterbi algorithm. This WL linear filter is interpreted for complex-valued signal of interest (SOI) symbols as two WL multidimensional matched filter (WL MMF) that reduce to a single WL MMF for real-valued SOI symbols. The performance improvements of this receiver with respect to the standard SIMO MLSE are proved and illustrated
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