Distributed user-to-multiple access points association through deep learning for beyond 5G

Computer Networks ◽

10.1016/j.comnet.2021.108258 ◽

2021 ◽

pp. 108258

Author(s):

Thi Ha Ly Dinh ◽

Megumi Kaneko ◽

Keisuke Wakao ◽

Kenichi Kawamura ◽

Takatsune Moriyama ◽

...

Keyword(s):

Deep Learning ◽

Multiple Access ◽

Access Points

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Research on key technologies of overlay multiple access based on deep learning

Journal of Physics Conference Series ◽

10.1088/1742-6596/1976/1/012011 ◽

2021 ◽

Vol 1976 (1) ◽

pp. 012011

Author(s):

Ronglan Huang

Keyword(s):

Deep Learning ◽

Multiple Access ◽

Key Technologies

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Resource Allocation for mmWave-NOMA Communication through Multiple Access Points Considering Human Blockages

IEEE Transactions on Communications ◽

10.1109/tcomm.2020.3045788 ◽

2020 ◽

pp. 1-1

Author(s):

Foad Barghikar ◽

Foroogh S. Tabataba ◽

Mehdi Naderi Soorki

Keyword(s):

Resource Allocation ◽

Multiple Access ◽

Access Points

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Deep Learning for an Effective Nonorthogonal Multiple Access Scheme

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2018.2848294 ◽

2018 ◽

Vol 67 (9) ◽

pp. 8440-8450 ◽

Cited By ~ 198

Author(s):

Guan Gui ◽

Hongji Huang ◽

Yiwei Song ◽

Hikmet Sari

Keyword(s):

Deep Learning ◽

Multiple Access ◽

Access Scheme

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A time space division multiple access (TSDMA) protocol for multihop wireless networks with access points

Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367) ◽

10.1109/vtc.2002.1002801 ◽

2003 ◽

Author(s):

Chi-Hsiang Yeh ◽

H. Zhou ◽

H.T. Mouftah

Keyword(s):

Wireless Networks ◽

Multiple Access ◽

Multihop Wireless Networks ◽

Space Division Multiple Access ◽

Multihop Wireless ◽

Access Points ◽

Space Division ◽

Time Space

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Constellation design with deep learning for downlink non-orthogonal multiple access

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) ◽

10.1109/pimrc.2018.8580937 ◽

2018 ◽

Cited By ~ 4

Author(s):

F. Alberge

Keyword(s):

Deep Learning ◽

Multiple Access ◽

Constellation Design

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A Review of Sparse Code Multiple Access Based on Deep Learning

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-89698-0_117 ◽

2022 ◽

pp. 1144-1151

Author(s):

Zhong Yu ◽

Huiping Wang

Keyword(s):

Deep Learning ◽

Multiple Access ◽

Sparse Code

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Deep Learning Based Joint Detection and Decoding of Non-Orthogonal Multiple Access Systems

2018 IEEE Globecom Workshops (GC Wkshps) ◽

10.1109/glocomw.2018.8644090 ◽

2018 ◽

Cited By ~ 4

Author(s):

Fuqiang Sun ◽

Kai Niu ◽

Chao Dong

Keyword(s):

Deep Learning ◽

Multiple Access ◽

Joint Detection

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Computation offloading and resource allocation for mobile edge computing with multiple access points

IET Communications ◽

10.1049/iet-com.2019.0446 ◽

2019 ◽

Vol 13 (17) ◽

pp. 2668-2677 ◽

Cited By ~ 10

Author(s):

Qiuping Li ◽

Junhui Zhao ◽

Yi Gong

Keyword(s):

Resource Allocation ◽

Multiple Access ◽

Edge Computing ◽

Computation Offloading ◽

Mobile Edge Computing ◽

Access Points

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A Fairness-Aware Scheduling Algorithm for Industrial Wireless Sensor Networks with Multiple Access Points

2017 5th International Conference on Enterprise Systems (ES) ◽

10.1109/es.2017.54 ◽

2017 ◽

Author(s):

Huaguang Shi ◽

Meng Zheng ◽

Wei Liang ◽

Zhe Luo ◽

Seung Ho Hong

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Multiple Access ◽

Scheduling Algorithm ◽

Wireless Sensor ◽

Industrial Wireless Sensor Networks ◽

Access Points

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Coordinated Multi-channel Transmission Scheme for Indoor Multiple Access Points VLC Networks

2019 19th International Symposium on Communications and Information Technologies (ISCIT) ◽

10.1109/iscit.2019.8905182 ◽

2019 ◽

Author(s):

Cong-Nam Tran ◽

Trong-Minh Hoang ◽

Nam-Hoang Nguyen

Keyword(s):

Multiple Access ◽

Transmission Scheme ◽

Access Points

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