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Demand-Based Radio Resource Allocation for Device-to-Device Communications: A Game Approach

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IoT as a Service (IoTaaS 2017)

Abstract

With the proliferation of the number of mobile devices, it is urgent to develop new technologies to cope with the rapidly growing volume of mobile data. Device-to-device (D2D) communication has been considered as one of the key technologies to solve this problem. In this paper, under the premise that D2D pairs share the uplink spectrum of cellular user (CU), a radio resource allocation scheme is proposed to allocate resource blocks (RBs) to D2D pairs while the co-channel interference threshold of CU is met. The D2D pairs whose total number of demanded RBs falls within a predefined range are organized into a coalition. Based on the total number of demanded RBs, the proposed scheme first allocates RBs to each coalition. Then, in each coalition, the Nash Bargaining Solution (NBS) is used to further allocate RBs to the belonging D2D pairs. The simulation results show that the reuse ratio of the Reusable RBs is nearly 100%. In addition, when the required number of RBs is greater than that can be allocated, the proposed scheme proportionally allocates RBs to all D2D pairs.

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Acknowledgment

This research was partially supported by the Ministry of Science and Technology of Taiwan under the grant number 104-2221-E-197-003.

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Correspondence to Chih-Cheng Tseng .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tseng, CC., Shih, JY. (2018). Demand-Based Radio Resource Allocation for Device-to-Device Communications: A Game Approach. In: Lin, YB., Deng, DJ., You, I., Lin, CC. (eds) IoT as a Service. IoTaaS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-00410-1_4

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  • DOI: https://doi.org/10.1007/978-3-030-00410-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00409-5

  • Online ISBN: 978-3-030-00410-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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