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Resource Allocation for D2D Communication Underlaying Cellular Network

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Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13338))

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Abstract

At present, resource allocation schemes based on cellular users and D2D users have been widely concerned by the society. With the development of society, the number of cellular users and D2D users has been increasing, but the frequency spectrum resources of users have not been reasonably allocated. Therefore, we propose a spatial matching algorithm (SMA) based on spatial region division, which divides cellular regions and realizes the reuse of user spectrum resources within the region to obtain the optimal solution of resource allocation. Finally, numerical simulation results show that the SMA resource allocation strategy is more efficient than Distance Constrained Resource Allocation (DCRA) algorithm.

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Acknowledgment

The authors would like to thank the anonymous reviewers for their selfless reviews and valuable comments, which have improved the quality of our original manuscript.

Funding

This work was partially supported by the National Natural Science Foundation of China (No.61876089, No. 61771410), by the Talent Introduction Project of Sichuan University of Science & Engineering (No. 2020RC22), by the Zigong City Key Science and Technology Program (No. 2019YYJC16), by the Teaching Reform Research Project of Sichuan University of Science & Engineering (JG-2121), by the Enterprise Informatization and Internet of Things Measurement and Control Technology Sichuan Provincial Key Laboratory of universities (No.2020WZY01).

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Correspondence to Xiaoli He .

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The authors declare that they have no conflicts of interest to report regarding the present study.

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Zeng, Z. et al. (2022). Resource Allocation for D2D Communication Underlaying Cellular Network. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13338. Springer, Cham. https://doi.org/10.1007/978-3-031-06794-5_8

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  • DOI: https://doi.org/10.1007/978-3-031-06794-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06793-8

  • Online ISBN: 978-3-031-06794-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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