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Random Beamforming in Millimeter-Wave NOMA Networks
Zhiguo Ding
, Pingzhi Fan
,
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Center for Statistics & Machine Learning
Research output
:
Contribution to journal
›
Article
›
peer-review
287
Scopus citations
Overview
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Dive into the research topics of 'Random Beamforming in Millimeter-Wave NOMA Networks'. Together they form a unique fingerprint.
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Engineering
Analytical Result
16%
Basestation
16%
Beamforming
100%
Channel State Information
16%
Directional
16%
Enabling Technology
16%
Millimeter Wave
100%
Non-Orthogonal Multiple Access
100%
Outage Probability
16%
Simulation Result
16%
Stochastic Geometry
16%
Transmissions
33%
Computer Science
Access Network
100%
Channel State Information
25%
Mobile Network
25%
Non-Orthogonal Multiple Access
100%
Outage Probability
25%
sum rate
25%
Transmission Scheme
25%
Physics
Beamforming
100%
Multiple Access
100%
Keyphrases
Fifth Generation (5G) Mobile
25%