Machine Learning-based Channel-Type Identification for IEEE 802.11ac Link Adaptation

2018 24th Asia-Pacific Conference on Communications (APCC) ◽

10.1109/apcc.2018.8633580 ◽

2018 ◽

Author(s):

Ernest Kurniawan ◽

Peng Hui Tan ◽

Sumei Sun ◽

Yuhong Wang

Keyword(s):

Machine Learning ◽

Link Adaptation ◽

Ieee 802.11Ac ◽

Channel Type

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Video transmission over IEEE 802.11ac downlink multi‐user: max–min fair link adaptation strategy

Electronics Letters ◽

10.1049/el.2014.0695 ◽

2014 ◽

Vol 50 (12) ◽

pp. 898-900 ◽

Cited By ~ 2

Author(s):

Ali A. Khavasi ◽

Mojtaba Aajami ◽

Hae‐Ryeon Park ◽

Jung‐Bong Suk

Keyword(s):

Video Transmission ◽

Link Adaptation ◽

Adaptation Strategy ◽

Ieee 802.11Ac

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IEEE 802.11ac Link Adaptation Under Mobility

2017 IEEE 42nd Conference on Local Computer Networks (LCN) ◽

10.1109/lcn.2017.90 ◽

2017 ◽

Cited By ~ 2

Author(s):

Raja Karmakar ◽

Samiran Chattopadhyay ◽

Sandip Chakraborty

Keyword(s):

Link Adaptation ◽

Ieee 802.11Ac

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Machine Learning Algorithms for Uplink Link Adaptation for LTE CAT M1 Users

10.1109/ficloud49777.2021.00018 ◽

2021 ◽

Author(s):

Sukhdeep Singh ◽

Vishal Sinha ◽

Jun Hyuk Song ◽

Sukhmeet Singh

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Link Adaptation ◽

Machine Learning Algorithms

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Link Adaptation on an Underwater Communications Network Using Machine Learning Algorithms: Boosted Regression Tree Approach

IEEE Access ◽

10.1109/access.2020.2981973 ◽

2020 ◽

Vol 8 ◽

pp. 73957-73971 ◽

Cited By ~ 2

Author(s):

M.S.M. Alamgir ◽

Mst. Najnin Sultana ◽

Kyunghi Chang

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Regression Tree ◽

Link Adaptation ◽

Machine Learning Algorithms ◽

Underwater Communications ◽

Boosted Regression Tree ◽

Communications Network ◽

Tree Approach

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Energy efficient link adaptation using machine learning techniques for wireless OFDM

2016 International Conference on Inventive Computation Technologies (ICICT) ◽

10.1109/inventive.2016.7830122 ◽

2016 ◽

Cited By ~ 1

Author(s):

Tushar Desai ◽

Hitesh Shah

Keyword(s):

Machine Learning ◽

Energy Efficient ◽

Link Adaptation ◽

Machine Learning Techniques ◽

Learning Techniques

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Link Adaptation in MIMO Systems by Using Machine Learning

2018 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2018.8812512 ◽

2018 ◽

Author(s):

Jiangze Li ◽

Tangyue Yang ◽

Hao Chen ◽

Wenjin Wang

Keyword(s):

Machine Learning ◽

Mimo Systems ◽

Link Adaptation

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Link Adaptation Strategies for Real-Time Video Transmission Over IEEE 802.11ac DL-MU

IEEE Transactions on Communications ◽

10.1109/tcomm.2016.2602351 ◽

2016 ◽

Vol 64 (10) ◽

pp. 4425-4433 ◽

Cited By ~ 3

Author(s):

Ali A. Khavasi ◽

Jung-Bong Suk

Keyword(s):

Real Time ◽

Video Transmission ◽

Link Adaptation ◽

Adaptation Strategies ◽

Ieee 802.11Ac

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A Machine Learning Approach to Link Adaptation for SC-FDE System

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 ◽

10.1109/glocom.2011.6134362 ◽

2011 ◽

Cited By ~ 5

Author(s):

Z. Puljiz ◽

M. Park ◽

R. Heath

Keyword(s):

Machine Learning ◽

Link Adaptation ◽

Learning Approach ◽

Machine Learning Approach

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Machine-Learning-Based Link Adaptation for Energy-Efficient MIMO-OFDM Systems

The Journal of Korean Institute of Electromagnetic Engineering and Science ◽

10.5515/kjkiees.2016.27.5.407 ◽

2016 ◽

Vol 27 (5) ◽

pp. 407-415

Author(s):

Myeung Suk Oh ◽

Gibum Kim ◽

Hyuncheol Park

Keyword(s):

Machine Learning ◽

Energy Efficient ◽

Link Adaptation ◽

Ofdm Systems ◽

Mimo Ofdm

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Practical Machine Learning-Based Rate Adaptation Solution for Wi-Fi NICs: IEEE 802.11ac as a Case Study

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.3004471 ◽

2020 ◽

Vol 69 (9) ◽

pp. 10264-10277

Author(s):

Chi-Yu Li ◽

Syuan-Cheng Chen ◽

Chien-Ting Kuo ◽

Chui-Hao Chiu

Keyword(s):

Machine Learning ◽

Rate Adaptation ◽

Ieee 802.11Ac

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