Improved least-squares-based combiners for diffusion networks

Conference: ISWCS 2013 - The Tenth International Symposium on Wireless Communication Systems
08/27/2013 - 08/30/2013 at Ilmenau, Deutschland

Proceedings: ISWCS 2013

Pages: 5Language: englishTyp: PDF

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Authors:
Fernandez-Bes, Jesus; Azpicueta-Ruiz, Luis A.; Arenas-García, Jerónimo (Universidad Carlos III de Madrid, Leganés, 28911 Spain)
Silva, Magno T. M. (Universidade de S˜ao Paulo, S˜ao Paulo 05508-010, Brazil)

Abstract:
Adaptive networks have received great attention during recent years. In diffusion strategies, nodes diffuse their estimations to neighbors, and construct improved estimates by combining all information received by other nodes. When nodes work in heterogeneous conditions, it is reasonable to assign combination weights that take into account the performance of each node; thus, different schemes that implement adaptive combiners have been recently proposed. In this paper, we propose a novel scheme for adaptive combiners which attempts to minimize a least-squares cost function. The novelty in our proposal relies on making the adaptive combiners convex, by projection onto the standard simplex, what result in a numerically more stable implementation. The convergence and steady-state properties of the new scheme are analyzed theoretically, and its performance is experimentally evaluated with respect to existing methods.