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Random Beamforming in Millimeter-Wave NOMA Networks

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

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Random Beamforming in Millimeter-Wave NOMA Networks. / Ding, Zhiguo; Fan, Pingzhi; Poor, H. Vincent.
In: IEEE Access, Vol. 5, 07.06.2017, p. 7667-7681.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ding, Z, Fan, P & Poor, HV 2017, 'Random Beamforming in Millimeter-Wave NOMA Networks', IEEE Access, vol. 5, pp. 7667-7681.

APA

Ding, Z., Fan, P., & Poor, H. V. (2017). Random Beamforming in Millimeter-Wave NOMA Networks. IEEE Access, 5, 7667-7681.

Vancouver

Ding Z, Fan P, Poor HV. Random Beamforming in Millimeter-Wave NOMA Networks. IEEE Access. 2017 Jun 7;5:7667-7681. Epub 2017 Feb 23.

Author

Ding, Zhiguo ; Fan, Pingzhi ; Poor, H. Vincent. / Random Beamforming in Millimeter-Wave NOMA Networks. In: IEEE Access. 2017 ; Vol. 5. pp. 7667-7681.

Bibtex

@article{9550a84ef173413d90feffedf0c22124,
title = "Random Beamforming in Millimeter-Wave NOMA Networks",
abstract = "This paper investigates the coexistence between two key enabling technologies for fifth generation (5G) mobile networks, non-orthogonal multiple access (NOMA), and millimeter-wave (mmWave) communications. Particularly, the application of random beamforming to mmWave-NOMA systems is considered in order to avoid the requirement that the base station know all the users{\textquoteright} channel state information. Stochastic geometry is used to characterize the performance of the proposed mmWave-NOMA transmission scheme by using key features of mmWave systems, i.e., that mmWave transmission is highly directional and potential blockages will thin the user distribution. Two random beamforming approaches that can further reduce the system overhead are also proposed, and their performance is studied analytically in terms of sum rates and outage probabilities. Simulation results are also provided to demonstrate the performance of the proposed schemes and verify the accuracy of the developed analytical results.",
keywords = "Base stations, NOMA, Array signal processing, Precoding, 5G mobile communication, Interference",
author = "Zhiguo Ding and Pingzhi Fan and Poor, {H. Vincent}",
year = "2017",
month = jun,
day = "7",
language = "English",
volume = "5",
pages = "7667--7681",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Random Beamforming in Millimeter-Wave NOMA Networks

AU - Ding, Zhiguo

AU - Fan, Pingzhi

AU - Poor, H. Vincent

PY - 2017/6/7

Y1 - 2017/6/7

N2 - This paper investigates the coexistence between two key enabling technologies for fifth generation (5G) mobile networks, non-orthogonal multiple access (NOMA), and millimeter-wave (mmWave) communications. Particularly, the application of random beamforming to mmWave-NOMA systems is considered in order to avoid the requirement that the base station know all the users’ channel state information. Stochastic geometry is used to characterize the performance of the proposed mmWave-NOMA transmission scheme by using key features of mmWave systems, i.e., that mmWave transmission is highly directional and potential blockages will thin the user distribution. Two random beamforming approaches that can further reduce the system overhead are also proposed, and their performance is studied analytically in terms of sum rates and outage probabilities. Simulation results are also provided to demonstrate the performance of the proposed schemes and verify the accuracy of the developed analytical results.

AB - This paper investigates the coexistence between two key enabling technologies for fifth generation (5G) mobile networks, non-orthogonal multiple access (NOMA), and millimeter-wave (mmWave) communications. Particularly, the application of random beamforming to mmWave-NOMA systems is considered in order to avoid the requirement that the base station know all the users’ channel state information. Stochastic geometry is used to characterize the performance of the proposed mmWave-NOMA transmission scheme by using key features of mmWave systems, i.e., that mmWave transmission is highly directional and potential blockages will thin the user distribution. Two random beamforming approaches that can further reduce the system overhead are also proposed, and their performance is studied analytically in terms of sum rates and outage probabilities. Simulation results are also provided to demonstrate the performance of the proposed schemes and verify the accuracy of the developed analytical results.

KW - Base stations

KW - NOMA

KW - Array signal processing

KW - Precoding

KW - 5G mobile communication

KW - Interference

M3 - Journal article

VL - 5

SP - 7667

EP - 7681

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -