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Adaptive Sub-Channel Allocation Based on Hopfield Neural Network for Multiuser OFDM

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Foundations and Practical Applications of Cognitive Systems and Information Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 215))

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Abstract

A kind of adaptive sub-channel allocation method utilizing Hopfield neural network (HNN) is studied in this paper. In order to find the power optimal sub-channel allocation under the constraints that only one sub-channel can be allocated to one user and all users are allocated the same number of sub-channels, a kind of new energy constrained function is constructed for the HNN. It is shown through numerical simulation that the proposed method can find the optimal allocation with less complexity compared with the exhaustive method.

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Acknowledgments

This work is supported in part by the Natural Science Foundation of Shandong Province (No. ZR2010FM040), and the Graduate Independent Innovation Foundation of Shandong University (GIIFSDU) (No. yzc12071).

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Authors and Affiliations

  1. School of Information Science and Engineering, Shandong University, Jinan, 250100, China

    Sufang Li, Mingyan Jiang, Anming Dong & Dongfeng Yuan

Authors
  1. Sufang Li
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  2. Mingyan Jiang
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  3. Anming Dong
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  4. Dongfeng Yuan
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Corresponding author

Correspondence to Mingyan Jiang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, People's Republic of China

    Fuchun Sun

  2. College of Mechatronics and Automation, National University of Defense Technolog, Changsha, People's Republic of China

    Dewen Hu

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, People's Republic of China

    Huaping Liu

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© 2014 Springer-Verlag Berlin Heidelberg

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Li, S., Jiang, M., Dong, A., Yuan, D. (2014). Adaptive Sub-Channel Allocation Based on Hopfield Neural Network for Multiuser OFDM. In: Sun, F., Hu, D., Liu, H. (eds) Foundations and Practical Applications of Cognitive Systems and Information Processing. Advances in Intelligent Systems and Computing, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37835-5_22

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  • DOI: https://doi.org/10.1007/978-3-642-37835-5_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37834-8

  • Online ISBN: 978-3-642-37835-5

  • eBook Packages: EngineeringEngineering (R0)

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