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Joint radio resource allocation in fog radio access network for healthcare

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Abstract

With the rapid development of healthcare, mobile cloud computing can improve medical efficiency by capturing and analyzing patient data. Fog computing, as an emerging paradigm to complement cloud computing, has significant advantages in local wireless signal processing, resource management and distributed storage capabilities to potentially meet future healthcare demands. However, performance is limited by the capacity of fronthaul links. In this paper, we propose a novel fog radio access network (F-RAN) model, where cooperation caching strategy and content transmission are jointly optimized. We formulate a mixed integer nonlinear programming problem in order to achieve an ultra-low delay for the proposed F-RAN. We also propose a novel matching algorithm based on the student project allocation (SPA) algorithm instead of the traditional optimization algorithm to solve the formulated problem. Numerical results reveal that the proposed joint optimization design can significantly improve the performance of the considered F-RAN.

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Acknowledgments

This work is supported by the Fundamental Research Funds for the Central Universities under Grant 2018YJS007, and National Natural Science Foundation of China under Grant 61772064, and Academic Discipline, Post-Graduate Education Project of the Beijing Municipal Commission of Education.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing, China

    Shiyuan Tong & Yun Liu

  2. Department of Computer Science and Information Engineering, National Ilan University, Taipei, Taiwan

    Hsin-Hung Cho

  3. Network and Technology Division, FarEasTone Telecommunications Company Limited, Taipei, Taiwan

    Hua-Pei Chiang

  4. School of Software Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing, China

    Zhenjiang Zhang

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  1. Shiyuan Tong
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  2. Yun Liu
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  3. Hsin-Hung Cho
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  4. Hua-Pei Chiang
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  5. Zhenjiang Zhang
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Correspondence to Yun Liu.

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This article is part of the Topical Collection: Special issue on Fog Computing for Healthcare

Guest Editors: Han-Chieh Chao, Sana Ullah, Christos Verikoukis, and Ki-Il Kim

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Tong, S., Liu, Y., Cho, HH. et al. Joint radio resource allocation in fog radio access network for healthcare. Peer-to-Peer Netw. Appl. 12, 1277–1288 (2019). https://doi.org/10.1007/s12083-018-0707-4

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