RETRACTED ARTICLE: Auto scheduling through distributed reinforcement learning in SDN based IoT environment
The Internet of Things (IoT), which is built on software-defined networking (SDN), employs a paradigm known as channel reassignment. This paradigm has great potential for enhancing the communication capabiliti...
Authors: Yuanyuan Wu
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:102
Content type: Research Published on: 9 October 2023
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RETRACTED ARTICLE: Optimized design and application research of smart interactive screen for wireless networks based on federated learning
The rapid development of infinite networks and information technology has promoted the wide deployment and rapid growth of intelligent interactive devices. However, at the same time, touch interaction technolo...
Authors: Chang Zhao and Linghao Zhang
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:107
Content type: Research Published on: 18 October 2023
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RETRACTED ARTICLE: Blockchain managed federated learning for a secure IoT framework
In this work, we present a blockchain-based federated learning (FL) framework that aims achieving high system efficiency while simultaneously addressing issues relating to data sparsity and the disclosure of p...
Authors: Jiayong Chai, Jian Li, Muhua Wei and Chuangying Zhu
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:100
Content type: Research Published on: 2 October 2023
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RETRACTED ARTICLE: Features optimization selection in hidden layers of deep learning based on graph clustering
As it is widely known, big data can comprehensively describe the inherent laws governing various phenomena. However, the effective and efficient analysis of available data has become a major challenge in the f...
Authors: Hefei Gao, Yifei Yuan and Wei Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:81
Content type: Research Published on: 21 August 2023
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A cooperative DDoS attack detection scheme based on entropy and ensemble learning in SDN
In order to solve the problem of distributed denial of service (DDoS) attack detection in software-defined network, we proposed a cooperative DDoS attack detection scheme based on entropy and ensemble learning...
Authors: Shanshan Yu, Jicheng Zhang, Ju Liu, Xiaoqing Zhang, Yafeng Li and Tianfeng Xu
Citation: EURASIP Journal on Wireless Communications and Networking 2021 2021:90
Content type: Research Published on: 13 April 2021
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An adversarial learning approach for discovering social relations in human-centered information networks
The analytics on graph-structured data in cyber spaces has advanced many human-centered computing technologies. However, if only utilizing the structural properties, we might be prohibited from unraveling unkn...
Authors: Shicheng Cui, Qianmu Li and Shu-Ching Chen
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:172
Content type: Research Published on: 7 September 2020
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Machine learning-based cloud IOT platform for intelligent tourism information services
Thanks to the continuous development of the tourism industry, the application of Internet of things (IoT) begins to boom among modern tourists. Smart tourism utilizes Internet of things to facilitate the infor...
Authors: Fangfei Bi and Haotian Liu
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:59
Content type: Research Published on: 7 July 2022
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Application of sample balance-based multi-perspective feature ensemble learning for prediction of user purchasing behaviors on mobile wireless network platforms
With the rapid development of wireless communication network, M-Commerce has achieved great success. Users leave a lot of historical behavior data when shopping on the M-Commerce platform. Using these data to ...
Authors: Huibing Zhang and Junchao Dong
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:190
Content type: Research Published on: 1 October 2020
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The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems
The fifth generation (5G) of telecommunications networks is currently commercially deployed. One of their core enabling technologies is cellular Massive Multiple-Input-Multiple-Output (M-MIMO) systems. However...
Authors: Lazaros Alexios Iliadis, Zaharias D. Zaharis, Sotirios Sotiroudis, Panagiotis Sarigiannidis, George K. Karagiannidis and Sotirios K. Goudos
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:68
Content type: Review Published on: 9 August 2022
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Sensing time and power allocation for cognitive radios using distributed Q-learning
In cognitive radios systems, the sparse assigned frequency bands are opened to secondary users, provided that the aggregated interferences induced by the secondary transmitters on the primary receivers are neg...
Authors: Olivier van den Biggelaar, Jean-Michel Dricot, Philippe De Doncker and François Horlin
Citation: EURASIP Journal on Wireless Communications and Networking 2012 2012:138
Content type: Research Published on: 10 April 2012
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Network resource optimization with reinforcement learning for low power wide area networks
As the 4th industrial revolution using information becomes an issue, wireless communication technologies such as the Internet of Things have been spotlighted. Therefore, much research is needed to satisfy the ...
Authors: Gyubong Park, Wooyeob Lee and Inwhee Joe
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:176
Content type: Research Published on: 10 September 2020
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Adaptive modulation and coding in underwater acoustic communications: a machine learning perspective
The increasing demand for exploring and managing the vast marine resources of the planet has underscored the importance of research on advanced underwater acoustic communication (UAC) technologies. However, ow...
Authors: Lihuan Huang, Qunfei Zhang, Weijie Tan, Yue Wang, Lifan Zhang, Chengbing He and Zhi Tian
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:203
Content type: Research Published on: 17 October 2020
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Learning nodes: machine learning-based energy and data management strategy
The efficient use of resources in wireless communications has always been a major issue. In the Internet of Things (IoT), the energy resource becomes more critical. The transmission policy with the aid of a co...
Authors: Yunmin Kim and Tae-Jin Lee
Citation: EURASIP Journal on Wireless Communications and Networking 2021 2021:176
Content type: Research Published on: 15 September 2021
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Classified 3D mapping and deep learning-aided signal power estimation architecture for the deployment of wireless communication systems
The traditional wireless communication systems deployment models require expensive and time-consuming procedures, including environment selection (rural, urban, and suburban), drive test data collection, and a...
Authors: Yunus Egi and Engin Eyceyurt
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:107
Content type: Research Published on: 23 October 2022
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Dynamic handoff policy for RAN slicing by exploiting deep reinforcement learning
It has been widely acknowledged that network slicing is a key architectural technology to accommodate diversified services for the next generation network (5G). By partitioning the underlying network into mult...
Authors: Yuansheng Wu, Guanqun Zhao, Dadong Ni and Junyi Du
Citation: EURASIP Journal on Wireless Communications and Networking 2021 2021:61
Content type: Research Published on: 19 March 2021
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Measurement and evaluation method of radar anti-jamming effectiveness based on principal component analysis and machine learning
With the development of modern electronic countermeasure technology, the fight between radar jamming and anti-jamming has become increasingly fierce. Experts have done a lot of highly effective work on radar a...
Authors: Liangwei Qi, Jingke Zhang, Zong-Feng Qi, Lu Kong and Yu Tang
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:58
Content type: Research Published on: 5 July 2023
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Early warning system for drivers’ phone usage with deep learning network
Dangerous driving, e.g., using mobile phone while driving, can result in serious traffic problem and threaten to safety. To efficiently alleviate such problem, in this paper, we design an intelligent monitorin...
Authors: J. H. Jixu Hou, Xiaofeng Xie, Qian Cai, Zhengjie Deng, Houqun Yang, Hongnian Huang, Xun Wang, Lei Feng and Yizhen Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:42
Content type: Research Published on: 5 May 2022
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Blockchained supply chain management based on IoT tracking and machine learning
When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer...
Authors: Zhongping Dong, Wei Liang, Yan Liang, Weibo Gao and Yi Lu
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:127
Content type: Research Published on: 29 December 2022
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Profit optimization in multi-service cognitive mesh network using machine learning
Cognitive technology enables licensed users (primary users, PUs) to trade the surplus spectrum and to transfer temporarily spectrum usage right to the unlicensed users (secondary users, SUs) to get some reward...
Authors: Ayoub Alsarhan and Anjali Agarwal
Citation: EURASIP Journal on Wireless Communications and Networking 2011 2011:36
Content type: Research Published on: 12 July 2011
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Trajectory optimization for UAV-assisted relay over 5G networks based on reinforcement learning framework
With the integration of unmanned aerial vehicles (UAVs) into fifth generation (5G) networks, UAVs are used in many applications since they enhance coverage and capacity. To increase wireless communication reso...
Authors: Sara M. M. Abohashish, Rawya Y. Rizk and E. I. Elsedimy
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:55
Content type: Review Published on: 1 July 2023
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A novel deep learning automatic modulation classifier with fusion of multichannel information using GRU
Automatic modulation classification (AMC) plays a vital role in modern communication systems, which can support wireless communication systems with limited spectrum resource. This paper proposes an AMC method,...
Authors: Siqi Sun and Yongyu Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:66
Content type: Research Published on: 22 July 2023
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An adversarial environment reinforcement learning-driven intrusion detection algorithm for Internet of Things
The increasing prevalence of Internet of Things (IoT) systems has made them attractive targets for malicious actors. To address the evolving threats and the growing complexity of detection, there is a critical...
Authors: Chahira Mahjoub, Monia Hamdi, Reem Ibrahim Alkanhel, Safa Mohamed and Ridha Ejbali
Citation: EURASIP Journal on Wireless Communications and Networking 2024 2024:21
Content type: Research Published on: 4 May 2024
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Traffic analysis for 5G network slice based on machine learning
With the rise of 5G and Internet of things, especially the key technology of 5G, network slice cuts a physical network into multiple virtual end-to-end networks, each of them can obtain logically independent n...
Authors: Feng Xie, Dongxue Wei and Zhencheng Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2021 2021:108
Content type: Research Published on: 28 April 2021
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A survey on cognitive radio network attack mitigation using machine learning and blockchain
Cognitive radio network is a promising technology to enhance the spectrum utilization and to resolve the spectrum scarcity issues. But the malicious users play havoc with the network during spectrum sensing an...
Authors: I. Evelyn Ezhilarasi, J. Christopher Clement and Joseph M. Arul
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:98
Content type: Review Published on: 30 September 2023
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A Reinforcement Learning Based Framework for Prediction of Near Likely Nodes in Data-Centric Mobile Wireless Networks
Data-centric storage provides energy-efficient data dissemination and organization for the increasing amount of wireless data. One of the approaches in data-centric storage is that the nodes that collected dat...
Authors: Yingying Chen, Hui(Wendy) Wang, Xiuyuan Zheng and Jie Yang
Citation: EURASIP Journal on Wireless Communications and Networking 2010 2010:319275
Content type: Research Article Published on: 10 June 2010
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Modified state activation functions of deep learning-based SC-FDMA channel equalization system
The most important function of the deep learning (DL) channel equalization and symbol detection systems is the ability to predict the user’s original transmitted data. Generally, the behavior and performance o...
Authors: Mohamed A. Mohamed, Hassan A. Hassan, Mohamed H. Essai, Hamada Esmaiel, Ahmed S. Mubarak and Osama A. Omer
Citation: EURASIP Journal on Wireless Communications and Networking 2023 2023:115
Content type: Research Published on: 27 November 2023
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How network monitoring and reinforcement learning can improve tcp fairness in wireless multi-hop networks
Wireless mesh network (WMN) is an emerging technology for the last-mile Internet access. Despite extensive research and the commercial implementations of WMNs, there are still serious fairness issues in the tr...
Authors: Nasim Arianpoo and Victor C.M. Leung
Citation: EURASIP Journal on Wireless Communications and Networking 2016 2016:278
Content type: Research Published on: 5 December 2016
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A second-order dynamic and static ship path planning model based on reinforcement learning and heuristic search algorithms
Ship path planning plays an important role in the intelligent decision-making system which can provide important navigation information for ship and coordinate with other ships via wireless networks. However, ...
Authors: Junfeng Yuan, Jian Wan, Xin Zhang, Yang Xu, Yan Zeng and Yongjian Ren
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:128
Content type: Research Published on: 30 December 2022
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Application of machine learning in intelligent encryption for digital information of real-time image text under big data
In the context of big data, the exploration of the application effect of machine learning in intelligent encryption for real-time image text digital information aims to improve the privacy information security...
Authors: Liang Liu, Melody Gao, Yong Zhang and Yuxiang Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:21
Content type: Research Published on: 21 March 2022
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Text feature extraction based on deep learning: a review
Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective fe...
Authors: Hong Liang, Xiao Sun, Yunlei Sun and Yuan Gao
Citation: EURASIP Journal on Wireless Communications and Networking 2017 2017:211
Content type: Review Published on: 15 December 2017
The Correction to this article has been published in EURASIP Journal on Wireless Communications and Networking 2018 2018:42
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RETRACTED ARTICLE: Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization
With the rapid development of network technology, college Chinese teaching needs to be reformed as so to adapt to the network environment. This paper puts forward a new strategy of college Chinese teaching bas...
Authors: Xun Bian, Zhang Chaomin and Jinwen Zhao
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:27
Content type: Research Published on: 29 January 2020
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Learning group patterns for ground-based cloud classification in wireless sensor networks
Cloud classification of ground-based images is a challenging task due to extreme variations under different atmospheric conditions. With the development of wireless sensor networks (WSN), it provides the possi...
Authors: Shuang Liu and Zhong Zhang
Citation: EURASIP Journal on Wireless Communications and Networking 2016 2016:69
Content type: Research Published on: 1 March 2016
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Using machine learning to find the hidden relationship between RTT and TCP throughput in WiFi
Is it possible to find hidden relationships among variables in WiFi network using machine learning (ML)? Can we use ML to find a variable that significantly affects the TCP throughput in WiFi? In this work, we em...
Authors: Aizaz U. Chaudhry
Citation: EURASIP Journal on Wireless Communications and Networking 2021 2021:200
Content type: Research Published on: 20 December 2021
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A deep learning-aided temporal spectral ChannelNet for IEEE 802.11p-based channel estimation in vehicular communications
In vehicular communications using IEEE 802.11p, estimating channel frequency response (CFR) is a remarkably challenging task. The challenge for channel estimation (CE) lies in tracking variations of CFR due to...
Authors: Xuchen Zhu, Zhichao Sheng, Yong Fang and Denghong Guo
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:94
Content type: Research Published on: 11 May 2020
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Behavioral learning game for socio-physical IoT connections
Game theory is an innovative idea to understanding human behaviors from economics to political science. However, due to the bounded rationality of game players, game theory alone cannot fully explain human beh...
Authors: Sungwook Kim
Citation: EURASIP Journal on Wireless Communications and Networking 2016 2016:24
Content type: Research Published on: 19 January 2016
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A Q-learning-based network content caching method
Cloud computing provides users with a distributed computing environment offering on-demand services. As its technologies become gradually mature and its application becomes more universal, cloud computing grea...
Authors: Haijun Chen and Guanzheng Tan
Citation: EURASIP Journal on Wireless Communications and Networking 2018 2018:268
Content type: Research Published on: 27 November 2018
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Automatic transfer learning for short text mining
As a new emerging technique, transfer learning enjoys the advantage of integrating the well-learnt knowledge from another related work to facilitate an improved learning result of one task. Most of the existin...
Authors: Lei Yang and Jianpei Zhang
Citation: EURASIP Journal on Wireless Communications and Networking 2017 2017:42
Content type: Research Published on: 1 March 2017
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A 3D mobile positioning method based on deep learning for hospital applications
In this study, a 3D positioning method is proposed for hospital applications, such as navigation within a hospital building. It employs deep learning algorithms to analyze the received signal strength from cel...
Authors: Qingqing Zhang and Yuan Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:170
Content type: Research Published on: 4 September 2020
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Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading channels, impulsive noise, and intersymbol interference compared to single-carrier systems. Despite this, multicarrie...
Authors: Evandro C. Vilas Boas, Jefferson D. S. e Silva, Felipe A. P. de Figueiredo, Luciano L. Mendes and Rausley A. A. de Souza
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:116
Content type: Review Published on: 2 December 2022
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RETRACTED ARTICLE: Practical application of wireless communication network multimedia courseware in college basketball teaching
With the acceleration of informatization and the coverage of wireless networks, homes, conferences, schools and other places have a higher pursuit of the wireless transmission capabilities of electronic device...
Authors: Wengang Chen and Fang Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2021 2021:73
Content type: Research Published on: 6 April 2021
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Multi-antenna transmission for underlay and overlay cognitive radio with explicit message-learning phase
We consider the coexistence of a multiple-input multiple-output secondary system with a multiple-input single-output primary link with different degrees of coordination between the systems. First, for the unco...
Authors: Ricardo Blasco-Serrano, Jing Lv, Ragnar Thobaben, Eduard Jorswieck and Mikael Skoglund
Citation: EURASIP Journal on Wireless Communications and Networking 2013 2013:195
Content type: Research Published on: 18 July 2013
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Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Cognitive radios are expected to play a major role towards meeting the exploding traffic demand over wireless systems. A cognitive radio node senses the environment, analyzes the outdoor parameters, and then m...
Authors: Nadine Abbas, Youssef Nasser and Karim El Ahmad
Citation: EURASIP Journal on Wireless Communications and Networking 2015 2015:174
Content type: Review Published on: 19 June 2015
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Mobility management in HetNets: a learning-based perspective
Heterogeneous networks (HetNets) are expected to be a key feature of long-term evolution (LTE)-advanced networks and beyond and are essential for providing ubiquitous broadband user throughput. However, due to...
Authors: Meryem Simsek, Mehdi Bennis and Ismail Guvenc
Citation: EURASIP Journal on Wireless Communications and Networking 2015 2015:26
Content type: Research Published on: 14 February 2015
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Joint high-dimensional soft bit estimation and quantization using deep learning
Forward error correction using soft probability estimates is a central component in modern digital communication receivers and impacts end-to-end system performance. In this work, we introduce EQ-Net: a deep l...
Authors: Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik and Jonathan I. Tamir
Citation: EURASIP Journal on Wireless Communications and Networking 2022 2022:51
Content type: Research Published on: 13 June 2022
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Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach
Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-limited mobile devices from computation-intensive tasks, which enables devices to offload workloads to nearby MEC server...
Authors: Zhao Chen and Xiaodong Wang
Citation: EURASIP Journal on Wireless Communications and Networking 2020 2020:188
Content type: Research Published on: 29 September 2020
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Learning local embedding deep features for person re-identification in camera networks
In this paper, we propose a novel feature learning method named local embedding deep features (LEDF) for person re-identification in camera networks. In order to learn the structural information of pedestrian,...
Authors: Zhong Zhang and Meiyan Huang
Citation: EURASIP Journal on Wireless Communications and Networking 2018 2018:85
Content type: Research Published on: 24 April 2018
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Q-learning-enabled channel access in next-generation dense wireless networks for IoT-based eHealth systems
One of the key applications for the Internet of Things (IoT) is the eHealth service that targets sustaining patient health information in digital environments, such as the Internet cloud with the help of advan...
Authors: Rashid Ali, Yazdan Ahmad Qadri, Yousaf Bin Zikria, Tariq Umer, Byung-Seo Kim and Sung Won Kim
Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:178
Content type: Research Published on: 8 July 2019
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Novel learning-based spatial reuse optimization in dense WLAN deployments
To satisfy the increasing demand for wireless systems capacity, the industry is dramatically increasing the density of the deployed networks. Like other wireless technologies, Wi-Fi is following this trend, pa...
Authors: Imad Jamil, Laurent Cariou and Jean-François Hélard
Citation: EURASIP Journal on Wireless Communications and Networking 2016 2016:184
Content type: Research Article Published on: 15 August 2016
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Virtual machine scheduling strategy based on machine learning algorithms for load balancing
With the rapid increase of user access, load balancing in cloud data center has become an important factor affecting cluster stability. From the point of view of green scheduling, this paper proposed a virtual...
Authors: Xin Sui, Dan Liu, Li Li, Huan Wang and Hongwei Yang
Citation: EURASIP Journal on Wireless Communications and Networking 2019 2019:160
Content type: Research Published on: 17 June 2019
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Ensemble learning particle swarm optimization for real-time UWB indoor localization
This paper presents an ensemble learning particle swarm optimization (ELPSO) algorithm for real-time indoor localization based on ultra-wideband (UWB). Indoor localization problem can be formulated as an optim...
Authors: Xufen Cai, Long Ye and Qin Zhang
Citation: EURASIP Journal on Wireless Communications and Networking 2018 2018:125
Content type: Research Published on: 18 May 2018
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