ws 15(4): e3

Research Article

Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D

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  • @ARTICLE{10.4108/eai.19-8-2015.2260167,
        author={Xiang Hongyu and Mugen Peng and Yuanyuan Cheng and Hsiao-Hwa Chen},
        title={Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D},
        journal={EAI Endorsed Transactions on Wireless Spectrum},
        volume={1},
        number={4},
        publisher={EAI},
        journal_a={WS},
        year={2015},
        month={9},
        keywords={fog radio access networks (f-rans), mode selection, resource allocation, lyapunov optimization},
        doi={10.4108/eai.19-8-2015.2260167}
    }
    
  • Xiang Hongyu
    Mugen Peng
    Yuanyuan Cheng
    Hsiao-Hwa Chen
    Year: 2015
    Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D
    WS
    EAI
    DOI: 10.4108/eai.19-8-2015.2260167
Xiang Hongyu1, Mugen Peng1,*, Yuanyuan Cheng1, Hsiao-Hwa Chen2
  • 1: Beijing University of Posts and Telecommunications
  • 2: National Cheng Kung University
*Contact email: pmg@bupt.edu.cn

Abstract

Presented as an innovative paradigm incorporating the cloud computing into radio access network, Cloud radio access networks (C-RANs) have been shown advantageous in curtailing the capital and operating expenditures as well as providing better services to the customers. However, heavy burden on the non-ideal fronthaul limits performances of CRANs. Here we focus on the alleviation of burden on the fronthaul via the edge devices’ caches and propose a fog computing based RAN (F-RAN) architecture with three candidate transmission modes: device to device, local distributed coordination, and global C-RAN. Followed by the proposed simple mode selection scheme, the average energy efficiency (EE) of systems optimization problem considering congestion control is presented. Under the Lyapunov framework, the problem is reformulated as a joint mode selection and resource allocation problem, which can be solved by block coordinate descent method. The mathematical analysis and simulation results validate the benefits of F-RAN and an EE-delay tradeoff can be achieved by the proposed algorithm.