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Range-Difference Based Resource Allocation Scheme for D2D-Aided Heterogeneous Networks

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5G for Future Wireless Networks (5GWN 2017)

Abstract

In this paper, the resource allocation issues in Device-to-Device (D2D) aided heterogeneous networks are investigated, with successive interference cancellation (SIC) capabilities enabled in base stations (BSs). The problem of maximizing the sum throughput of whole network by considering real-time transmissions is formulated. After that, the globally optimal power control is carried out relying on both the enumeration and Kuhn-Munkres methods. To both guarantee the successful transmission probability (STP) of cellular users (CUEs) and reduce the system’s management overhead, a range-difference based resource allocation scheme is proposed. Numerical results show that the average throughput of CUEs can be substantially improved without sacrificing the performance of CUEs by invoking the proposed resource allocation scheme.

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Notes

  1. 1.

    In other words, the transmission rate of DT is not beyond its channel capacity, therefore the interference caused by DT can be cancelled completely in theory.

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Acknowledgement

This work was supported by the key project of the National Natural Science Foundation of China (No. 61431001), the open research fund of National Mobile Communications Research Laboratory Southeast University (No. 2017D02), Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (Guilin University of Electronic Technology), and the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services. (Corresponding author: Zhongshan Zhang).

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

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Lv, S., Wang, X., Cheng, H., Zhang, Z. (2018). Range-Difference Based Resource Allocation Scheme for D2D-Aided Heterogeneous Networks. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_47

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  • DOI: https://doi.org/10.1007/978-3-319-72823-0_47

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