Quantize-map-forward (QMF) relaying: an experimental study

  • Authors:
  • Melissa Duarte;Ayan Sengupta;Siddhartha Brahma;Christina Fragouli;Suhas Diggavi

  • Affiliations:
  • Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland;Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland;Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland;Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland;University of California Los Angeles (UCLA), Los Angeles, USA

  • Venue:
  • Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
  • Year:
  • 2013

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Abstract

We present the design and experimental evaluation of a wireless system that exploits relaying in the context of WiFi. We opt for WiFi given its popularity and wide spread use for a number of applications, such as smart homes. Our testbed consists of three nodes, a source, a relay and a destination, that operate using the physical layer procedures of IEEE802.11. We deploy three main competing strategies that have been proposed for relaying, Decode-and-Forward (DF), Amplify-and-Forward (AF) and Quantize-Map-Forward (QMF). QMF is the most recently introduced of the three, and although it was shown in theory to approximately achieve the capacity of arbitrary wireless networks, its performance in practice had not been evaluated. We present in this work experimental results---to the best of our knowledge, the first ones---that compare QMF, AF and DF in a realistic indoor setting. We find that QMF is a competitive scheme to the other two, offering in some cases up to 12% throughput benefits and up to 60% improvement in frame error-rates over the next best scheme.