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Downlink PDMA in the Heterogeneous Network

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Wireless Internet (WICON 2016)

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Abstract

Non-orthogonal multiple access (NOMA) is considered as a promising multiple access technology, which could satisfy various incremental requirements of the coming fifth generation (5G) mobile communication system. As a novel NOMA scheme based on the joint design of the transmitter and receiver, pattern division multiple access (PDMA) could enhance spectrum efficiency significantly, compared to traditional orthogonal multiple access (OMA) schemes. In this paper, a particular pattern design of downlink PDMA in heterogeneous network is proposed. In overlapping deployment scenario of macro cells and small cells, the downlink signals are transmitted with a novel spatial and power domain superposition pattern. The user pairing and spatial/power allocation schemes are therefore proposed optimizing the pattern design. Analysis and simulation results illuminate the pattern design of downlink PDMA could enhance the spectrum efficiency obviously.

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Acknowledgements

This work was supported by the China’s 863 Project (No. 2015AA01A709), the National S&T Major Project (No. 2014ZX03004003), Science and Technology Program of Beijing (No. D161100001016002), S&T Cooperation Projects (No. 2015DFT10160B), State Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunications Technology (CATT), and Beijing Samsung Telecom R&D Center.

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Correspondence to Jie Zeng .

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

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Zeng, J., Lin, X., Rong, L., Su, X. (2018). Downlink PDMA in the Heterogeneous Network. In: Huang, M., Zhang, Y., Jing, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_26

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  • DOI: https://doi.org/10.1007/978-3-319-72998-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72997-8

  • Online ISBN: 978-3-319-72998-5

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