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Spatial Reuse Based Resource Allocation in Device-to-Device Communications

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Internet of Things. IoT Infrastructures (IoT360 2015)

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Abstract

Device-to-Device (D2D) communications have attracted more concern recently, since it provides a supplemental paradigm of short range communications for the current cellular networks. In D2D communications information bits are directly transmitted between devices without traversing base station (BS). As a result, D2D communications can potentially facilitate the improvement of the network capacity, extension of the network coverage, enhancement of the spectrum efficiency, and the energy efficiency as well. It also works well for couple of new applications, such as information exchange between devices in Internet of Things (IoT) and low delay video content sharing. From the perspective of resource allocation in D2D communications, multiple D2D users (DUs) may reuse the same resource of cellular users (CUs). Thus, we put our focus on the spatial reuse resource allocation in this paper. We formulate the spatial reuse problem which aims to maximize the system throughput while maintaining the desirable signal-noise-interference-ratio (SINR) at receivers. Accordingly, a greedy based user set selection algorithm is proposed to filter the candidate DU set to further reduce the computation complexity. Simulation results show that the cellular network can achieve a higher throughput by using our proposed scheme.

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Acknowledgements

This work was supported in part by the Natural Science Foundations of China under Grants 61571056 and 61201150, the open research fund of National Mobile Communications Research Laboratory of Southeast University under Grants 2016D04, and the Beijing Higher Education Young Elite Faculty Grant No. YETP0442.

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Correspondence to Li Wang .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Sun, T., Wang, L., Wu, Z., Svensson, T. (2016). Spatial Reuse Based Resource Allocation in Device-to-Device Communications. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_12

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  • DOI: https://doi.org/10.1007/978-3-319-47063-4_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47062-7

  • Online ISBN: 978-3-319-47063-4

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