Power Allocation Schemes Based on Machine Learning for Distributed Antenna Systems

Power Allocation Schemes Based on Machine Learning for Distributed Antenna Systems

In this paper, we investigate the great potential of the combination of machine learning technology and wireless communications. Currently, many researchers have proposed various optimization algorithms on resource allocation for distributed antenna systems (DASs). However, the existing methods are...

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Bibliographic Details
Main Authors:	Ying Liu, Chunlong He, Xingquan Li, Ce Zhang, Chun Tian
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Distributed antenna systems machine learning power allocation schemes spectral efficiency energy efficiency <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k</italic>-NN algorithm
Online Access:	https://ieeexplore.ieee.org/document/8629900/

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