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1
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
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Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come

EURASIP journal on wireless communications and networking, 2019-05, Vol.2019 (1), p.1-20, Article 129 [Peer Reviewed Journal]

The Author(s) 2019 ;EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 1687-1499 ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-019-1438-9

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2
Ubiquitous cell-free Massive MIMO communications
Ubiquitous cell-free Massive MIMO communications
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Ubiquitous cell-free Massive MIMO communications

EURASIP journal on wireless communications and networking, 2019-08, Vol.2019 (1), p.1-13, Article 197 [Peer Reviewed Journal]

The Author(s) 2019 ;EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1499 ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-019-1507-0

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3
Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA
Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA
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Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA

EURASIP journal on wireless communications and networking, 2018-05, Vol.2018 (1), p.133-54, Article 133 [Peer Reviewed Journal]

The Author(s) 2018 ;EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1687-1472 ;ISSN: 1687-1499 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-018-1104-7 ;PMID: 30996723

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4
A new clustering routing method based on PECE for WSN
A new clustering routing method based on PECE for WSN
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A new clustering routing method based on PECE for WSN

EURASIP journal on wireless communications and networking, 2015-06, Vol.2015 (1), p.1-13, Article 162 [Peer Reviewed Journal]

Zhang et al. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. ;The Author(s) 2015 ;ISSN: 1687-1499 ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-015-0399-x

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5
Retraction Note : Privacy-preserving routing using jointly established protocol in IoT network environment
Retraction Note : Privacy-preserving routing using jointly established protocol in IoT network environment
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Retraction Note : Privacy-preserving routing using jointly established protocol in IoT network environment

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.41-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02363-7

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6
Retraction Note: Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection
Retraction Note: Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection
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Retraction Note: Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.32-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02359-3

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7
Retraction Note: Intelligent monitoring methodology for large-scale logistics transport vehicles based on parallel Internet of Vehicles
Retraction Note: Intelligent monitoring methodology for large-scale logistics transport vehicles based on parallel Internet of Vehicles
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Retraction Note: Intelligent monitoring methodology for large-scale logistics transport vehicles based on parallel Internet of Vehicles

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.33-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02358-4

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8
Retraction Note: Blockchain managed federated learning for a secure IoT framework
Retraction Note: Blockchain managed federated learning for a secure IoT framework
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Retraction Note: Blockchain managed federated learning for a secure IoT framework

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.27-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02365-5

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9
Retraction Note: Hybrid extreme learning machine-based approach for IDS in smart Ad Hoc networks
Retraction Note: Hybrid extreme learning machine-based approach for IDS in smart Ad Hoc networks
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Retraction Note: Hybrid extreme learning machine-based approach for IDS in smart Ad Hoc networks

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.28-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02362-8

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10
Retraction Note: A novel energy-efficient scheduling method for three-dimensional heterogeneous wireless sensor networks based on improved memetic algorithm and node cooperation strategy
Retraction Note: A novel energy-efficient scheduling method for three-dimensional heterogeneous wireless sensor networks based on improved memetic algorithm and node cooperation strategy
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Retraction Note: A novel energy-efficient scheduling method for three-dimensional heterogeneous wireless sensor networks based on improved memetic algorithm and node cooperation strategy

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.29-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02364-6

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11
Retraction Note: Optimized design and application research of smart interactive screen for wireless networks based on federated learning
Retraction Note: Optimized design and application research of smart interactive screen for wireless networks based on federated learning
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Retraction Note: Optimized design and application research of smart interactive screen for wireless networks based on federated learning

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.31-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02352-w

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12
Retraction Note: Collaborative communication and computational design for energy-efficient edge based learning network
Retraction Note: Collaborative communication and computational design for energy-efficient edge based learning network
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Retraction Note: Collaborative communication and computational design for energy-efficient edge based learning network

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.24-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02361-9

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13
Retraction Note: Support attack detection algorithm for recommendation system based on deep learning
Retraction Note: Support attack detection algorithm for recommendation system based on deep learning
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Retraction Note: Support attack detection algorithm for recommendation system based on deep learning

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.36-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02366-4

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14
Retraction Note: Auto scheduling through distributed reinforcement learning in SDN based IoT environment
Retraction Note: Auto scheduling through distributed reinforcement learning in SDN based IoT environment
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Retraction Note: Auto scheduling through distributed reinforcement learning in SDN based IoT environment

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.38-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02368-2

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15
Retraction Note: A novel machine learning-based framework for channel bandwidth allocation and optimization in distributed computing environments
Retraction Note: A novel machine learning-based framework for channel bandwidth allocation and optimization in distributed computing environments
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Retraction Note: A novel machine learning-based framework for channel bandwidth allocation and optimization in distributed computing environments

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.23-1 [Peer Reviewed Journal]

This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024 ;This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02367-3

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16
Retraction Note: Enhancing throughput using channel access priorities in frequency hopping network using federated learning
Retraction Note: Enhancing throughput using channel access priorities in frequency hopping network using federated learning
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Retraction Note: Enhancing throughput using channel access priorities in frequency hopping network using federated learning

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.37-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02355-7

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17
Retraction Note: Features optimization selection in hidden layers of deep learning based on graph clustering
Retraction Note: Features optimization selection in hidden layers of deep learning based on graph clustering
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Retraction Note: Features optimization selection in hidden layers of deep learning based on graph clustering

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.26-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02354-8

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18
Retraction Note: Switching mode allocation in planning paths for vehicular network communication
Retraction Note: Switching mode allocation in planning paths for vehicular network communication
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Retraction Note: Switching mode allocation in planning paths for vehicular network communication

EURASIP journal on wireless communications and networking, 2024-12, Vol.2024 (1), p.34-1 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-024-02353-9

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19
Obstacle avoidance of mobile robots using modified artificial potential field algorithm
Obstacle avoidance of mobile robots using modified artificial potential field algorithm
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Obstacle avoidance of mobile robots using modified artificial potential field algorithm

EURASIP journal on wireless communications and networking, 2019-03, Vol.2019 (1), p.1-19, Article 70 [Peer Reviewed Journal]

The Author(s). 2019 ;EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1687-1499 ;ISSN: 1687-1472 ;EISSN: 1687-1499 ;DOI: 10.1186/s13638-019-1396-2

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20
LTE and IEEE 802.11p for vehicular networking: a performance evaluation
LTE and IEEE 802.11p for vehicular networking: a performance evaluation
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LTE and IEEE 802.11p for vehicular networking: a performance evaluation

EURASIP journal on wireless communications and networking, 2014-05, Vol.2014 (1), Article 89 [Peer Reviewed Journal]

Hameed Mir and Filali; licensee Springer. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. ;ISSN: 1687-1499 ;EISSN: 1687-1499 ;DOI: 10.1186/1687-1499-2014-89

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