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Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings

Research Article

Joint Optimization of D2D-Enabled Heterogeneous Network Based on Delay and Reliability Constraints

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  • @INPROCEEDINGS{10.1007/978-3-030-99200-2_14,
        author={Dengsong Yang and Baili Ni and Haidong Wang and Baoxiang Wei},
        title={Joint Optimization of D2D-Enabled Heterogeneous Network Based on Delay and Reliability Constraints},
        proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings},
        proceedings_a={CHINACOM},
        year={2022},
        month={4},
        keywords={D2D Resources allocation Lyapunov optimization},
        doi={10.1007/978-3-030-99200-2_14}
    }
    
  • Dengsong Yang
    Baili Ni
    Haidong Wang
    Baoxiang Wei
    Year: 2022
    Joint Optimization of D2D-Enabled Heterogeneous Network Based on Delay and Reliability Constraints
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-99200-2_14
Dengsong Yang, Baili Ni, Haidong Wang1, Baoxiang Wei1,*
  • 1: College of Computer and Information
*Contact email: 2819886353@qq.com

Abstract

The D2D-enabled heterogeneous network services have strict requirements on communication delay and quality. D2D users can share spectrum resources with cellular users, which can effectively improve the spectrum efficiency. But it can cause serious co-channel interference in dense user scenarios. In order to satisfy the highly dynamic patterns of the data traffic and wireless communication environment, a joint optimization algorithm of D2D-enabled heterogeneous network resources is proposed while meeting the delay and quality requirements. Specifically, a heterogeneous network is established where users are clustered. We maximize system energy efficiency under the premise of meeting the user delay and reliability requirements. In addition, we use the Lyapunov algorithm to optimize the dynamic allocation of wireless resources. The results of the experiment show that the proposed algorithm can improve the spectrum efficiency, reduce the D2D power consumption and reduce the co-channel interference, while ensuring the reliability and time delay requirements of both D2D users and cellular users.

Keywords
D2D Resources allocation Lyapunov optimization
Published
2022-04-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99200-2_14
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