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Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information

 
: Kasparick, M.; Cavalcante, R.L.G.; Valentin, S.; Stanczak, S.; Yukawa, M.

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IEEE transactions on vehicular technology 65 (2016), No.7, pp.5461-5473
ISSN: 0018-9545
English
Journal Article
Fraunhofer HHI ()

Abstract
In this paper, we address the problem of reconstructing coverage maps from path-loss measurements in cellular networks. We propose and evaluate two kernel-based adaptive online algorithms as an alternative to typical offline methods. The proposed algorithms are application-tailored extensions of powerful iterative methods such as the adaptive projected subgradient method (APSM) and a state-of-the-art adaptive multikernel method. Assuming that the moving trajectories of users are available, it is shown how side information can be incorporated in the algorithms to improve their convergence performance and the quality of the estimation. The complexity is significantly reduced by imposing sparsity awareness in the sense that the algorithms exploit the compressibility of the measurement data to reduce the amount of data that is saved and processed.

: http://publica.fraunhofer.de/documents/N-421879.html