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A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment

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A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment. / Ding, Zhiguo; Schober, Robert; Poor, H. Vincent.
In: IEEE Transactions on Wireless Communications, Vol. 15, No. 6, 06.2016, p. 4438-4454.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ding, Z, Schober, R & Poor, HV 2016, 'A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment', IEEE Transactions on Wireless Communications, vol. 15, no. 6, pp. 4438-4454. https://doi.org/10.1109/TWC.2016.2542066

APA

Ding, Z., Schober, R., & Poor, H. V. (2016). A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment. IEEE Transactions on Wireless Communications, 15(6), 4438-4454. https://doi.org/10.1109/TWC.2016.2542066

Vancouver

Ding Z, Schober R, Poor HV. A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment. IEEE Transactions on Wireless Communications. 2016 Jun;15(6):4438-4454. Epub 2016 Mar 14. doi: 10.1109/TWC.2016.2542066

Author

Ding, Zhiguo ; Schober, Robert ; Poor, H. Vincent. / A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment. In: IEEE Transactions on Wireless Communications. 2016 ; Vol. 15, No. 6. pp. 4438-4454.

Bibtex

@article{6191748c95a24a0c89de7d8b642a39e1,
title = "A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment",
abstract = "The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.",
author = "Zhiguo Ding and Robert Schober and Poor, {H. Vincent}",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = jun,
doi = "10.1109/TWC.2016.2542066",
language = "English",
volume = "15",
pages = "4438--4454",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment

AU - Ding, Zhiguo

AU - Schober, Robert

AU - Poor, H. Vincent

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/6

Y1 - 2016/6

N2 - The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.

AB - The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.

U2 - 10.1109/TWC.2016.2542066

DO - 10.1109/TWC.2016.2542066

M3 - Journal article

VL - 15

SP - 4438

EP - 4454

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 6

ER -