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Cooperation Gain in Incremental LMS Adaptive Networks with Noisy Links

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Signal Processing and Information Technology (SPIT 2012)

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Abstract

In this paper, we study the influence of noisy links on the effectiveness of cooperation in incremental LMS adaptive network (ILMS). The analysis reveals the important fact that under noisy communication, cooperation among nodes may not necessarily result in better performance. More precisely, we first define the concept of cooperation gain and compute it for the ILMS algorithm with ideal and noisy links. We show that the ILMS algorithm with ideal links outperforms the non-cooperative scheme for all values of step-size (cooperation gain is always bigger than 1). On the other hand, in the presence of noisy links, cooperation gain is not always bigger than 1 and based on the channel and data statistics, for some values of step-size, non-cooperative scheme outperforms the ILMS algorithm. We presented simulation results to clarify the discussions.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Malayer University, Malayer, 65719-95863, Iran

    Azam Khalili & Amir Rastegarnia

  2. Electrical and Computer Engineering Department, American University in Dubai, P.O. Box 28282, Dubai, United Arab Emirates

    Wael M. Bazzi

Authors
  1. Azam Khalili
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  2. Wael M. Bazzi
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  3. Amir Rastegarnia
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Editor information

Editors and Affiliations

  1. Network Security Group, Institute of Doctors Engineering and Scientists (The IDES), 695 004, Kerala, India

    Vinu V. Das

  2. Mathematics and Computer Science, Menoufia University, Cairo, Egypt

    Passent Elkafrawy

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© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Khalili, A., Bazzi, W.M., Rastegarnia, A. (2014). Cooperation Gain in Incremental LMS Adaptive Networks with Noisy Links. In: Das, V.V., Elkafrawy, P. (eds) Signal Processing and Information Technology. SPIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-319-11629-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-11629-7_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11628-0

  • Online ISBN: 978-3-319-11629-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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