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RETRACTED ARTICLE: Resource allocation algorithm design of high quality of service based on chaotic neural network in wireless communication technology

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This article was retracted on 21 December 2022

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Abstract

With the rapid development of broadband wireless technology and the wide demand of multimedia mobile services, various broadband mobile multimedia services are coming into being. However, the limited radio resources do not adequately guarantee the quality of service requirements for these multimedia mobile services. In this paper, the improved chaotic neural network technology is applied to three typical broadband wireless communication systems. Through the theoretical analysis and the simulation, the proposed algorithm can make full use of the chaotic neural power to search the optimal solution, which can achieve the purpose of further optimizing the wireless resources. At the same time, it also make the positive attempt to promote cross-disciplinary integration.

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (Grant No. U1504602 and No. U1504613), Postdoctoral Science Foundation of China (2015M572141). The authors wish to thank the Science and Technology Plan Projects of Henan Province for contract 162102310614, under which the present work was possible.

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Authors and Affiliations

  1. School of Science and Technology, Zhoukou Normal University, Zhoukou, 466001, Henan, China

    Yongfeng Cui, Zhongyuan Zhao, Yuankun Ma & Shi Dong

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  1. Yongfeng Cui
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  2. Zhongyuan Zhao
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  3. Yuankun Ma
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  4. Shi Dong
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Correspondence to Yongfeng Cui.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10586-022-03941-4

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Cui, Y., Zhao, Z., Ma, Y. et al. RETRACTED ARTICLE: Resource allocation algorithm design of high quality of service based on chaotic neural network in wireless communication technology. Cluster Comput 22 (Suppl 5), 11005–11017 (2019). https://doi.org/10.1007/s10586-017-1285-6

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