
Research Article
Joint Optimization of D2D-Enabled Heterogeneous Network Based on Delay and Reliability Constraints
@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
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.