Abstract
Device-to-Device (D2D) communication has been recognized as a promising technology in 5G. Due to its short-range direct communication, D2D improves network capacity and spectral efficiency. However, interference management is more complex for D2D underlaying cellular networks compared with traditional cellular networks. In this paper, we study channel allocation in D2D underlaying cellular networks. A tier-based directed weighted graph coloring algorithm (TDWGCA) is proposed to solve cumulative interference problem. The proposed algorithm is composed of two stages. For the first stage, the tier-based directed weighted graph is constructed to formulate the interference relationship among users. For the second stage, the maximum potential interference based coloring algorithm (MPICA) is proposed to color the graph. Different from the hypergraph previously investigated in channel allocation, our proposed graph reduces the complexity of graph construction significantly. Simulation results show that the proposed algorithm could better eliminate cumulative interference compared with the hypergraph based algorithm and thus the system capacity is improved.
This work is supported in part by the National Natural Science Foundation of China (No. 61631004) and the National Science and Technology Major Project of China under Grant 2016ZX03001017.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, Y., Peng, T. (2020). Tier-Based Directed Weighted Graph Coloring Algorithm for Device-to-Device Underlay Cellular Networks. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-030-41117-6_5
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DOI: https://doi.org/10.1007/978-3-030-41117-6_5
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