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Joint C-V-BLAST and DS-NOMA for Massive MIMO

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5G for Future Wireless Networks (5GWN 2017)

Abstract

We investigate the performance of modified non orthogonal multiple access (NOMA) which uses the modified low complexity Vertical Bell Laboratories Layered Space Time (C-V-BLAST) in an uplink massive multiple-input-multiple-output (MIMO) deployment with distributed single-antenna users and a large base-station array. Unlike previous work which assumes no spreading, we focus on the scenario where signal spreading is included by using the Gold Code family. It is shown that the proposed scheme provides a significant performance improvement over the conventional V-BLAST system for a large MIMO deployment when the number of transmit and receive antennas are comparable by exploiting the extra dimension added by the spreading to mitigate the interference. However, for a massive MIMO system, both schemes provide similar performance. We also show that the proposed scheme has a much better performance when the average received power for the users is the same, a scenario that the C-V-BLAST scheme struggles with due to its dependence on the ordering of users according to their power levels.

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Acknowledgment

This research was supported in part by the Distributed and Networked Systems Research Group Operating Grant number 150410, University of Sharjah, and Seed Grant No. 1602040224-P.

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Correspondence to Khawla A. Alnajjar .

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

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Alnajjar, K.A., El-Tarhuni, M. (2018). Joint C-V-BLAST and DS-NOMA for Massive MIMO. 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_45

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  • DOI: https://doi.org/10.1007/978-3-319-72823-0_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72822-3

  • Online ISBN: 978-3-319-72823-0

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