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Cited by 298

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Random Beamforming in Millimeter-Wave NOMA Networks

Open access
Ding, Zhiguo, Fan, Pingzhi, Poor, H. Vincent·2017·IEEE Access

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' 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.

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Metadata

Authors
Ding, Z., Fan, P., & Poor, H. V.
Venue
IEEE Access
Published
2017
Volume
5
Pages
7667-7681
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2963357004
Cited by
298
References
27
FWCI
20.36
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Random Beamforming in Millimeter-Wave NOMA Networks. https://app.cochat.ai/papers/10.1109/access.2017.2673248
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Ding, Z., Fan, P., & Poor, H. V. (2017). Random Beamforming in Millimeter-Wave NOMA Networks. IEEE Access. https://doi.org/10.1109/access.2017.2673248

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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