
Academic Journal
Q2Eurasip Journal on Wireless Communications and Networking
About Eurasip Journal on Wireless Communications and Networking
Eurasip Journal on Wireless Communications and Networking is a scholarly journal published by SpringerOpen. SCImago 2025 lists it in Q2, with an SJR of 0.587 and H-index of 82.
Coverage: 2004-2026. Research categories: Computer Networks and Communications (Q2); Computer Science Applications (Q2); Signal Processing (Q2).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-04-13. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Advanced MIMO Systems Optimization; Cooperative Communication and Network Coding; Advanced Wireless Communication Techniques; Wireless Communication Networks Research; Mobile Ad Hoc Networks; Advanced Wireless Network Optimization.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Unsupervised detection of offending radio transmissions by means of a deep learning autoencoder
Pablo Torío, Manuel G. Sánchez, Íñigo Cuiñas, Verónica Santalla del Río et al.
2025-12-24 · DOI: 10.1186/s13638-025-02496-3Beam steering limitations in hardware-combined phased arrays for LEO satellite communications
Aline G. Truppel Duarte, José A. Apolinário, Cláudio A. B. Saunders Filho, Antonio L. L. Ramos et al.
2025-12-21 · DOI: 10.1186/s13638-025-02543-zThroughput maximization using reinforcement learning with state aggregation in satellite revisit scenarios
Felipe Pasquevich, Juan Martin Ayarde, Yasmín Rayén Mondino Llermanos, Graciela Corral Briones et al.
2025-12-19 · DOI: 10.1186/s13638-025-02531-3Design of an online monitoring and traceability optimization system for measurement errors of instrument transformers and energy meters based on edge computing architecture
Chen Xu, Zhang Chao, Zhang Hao-miao, Yan Yu et al.
2025-12-17 · DOI: 10.1186/s13638-025-02539-9Deep learning solution for central-node integration challenge in clustered routing protocols during fire emergencies
Ola Khudhair Abbas, Fairuz Abdullah, Nurul Asyikin Mohamed Radzi, Aymen Dawood Salman et al.
2025-12-09 · DOI: 10.1186/s13638-025-02538-wImproving bit error rate in optical wireless OFDM systems through hybrid companding and precoding strategies
Amal Yasser, Albashir A. Youssef, Mohamed Abaza
2025-12-01 · DOI: 10.1186/s13638-025-02522-4Advanced hardware-dependent spectral efficiency analysis for energy-efficient wireless communications
Marie-Anne Lacroix, Romuald Rocher, Nancy Bertin, Pascal Scalart et al.
2025-11-28 · DOI: 10.1186/s13638-025-02512-6A study on global deployment and multi-agent balanced scheduling in internet of vehicles powered by edge computing
Hua He, Yanxia Liang, Qiong Zhao
2025-11-27 · DOI: 10.1186/s13638-025-02541-1Task-oriented efficient communication in federated learning via regularized sparse randomized networks and NLQ
Liyuan Zhang, Zhaoli Chen, Zhipeng Meng, Xuhua Ai et al.
2025-11-26 · DOI: 10.1186/s13638-025-02533-1EIoT: edge of things for Parkinson’s disease prediction in healthcare
Suliman Khan, Muhammad Babar, Ala Saleh Alluhaidan, Faiza Aurang Zeb et al.
2025-11-25 · DOI: 10.1186/s13638-025-02513-5Dynamic task scheduling in wireless edge computing using deep reinforcement learning with ordinal optimization
Yongyu Wang, Siqi Sun
2025-11-21 · DOI: 10.1186/s13638-025-02534-0A neural network-based intelligent system for substation surveillance video analysis with edge and IoT integration
Bing Tong, Yuyao Li, Xin Chen
2025-11-19 · DOI: 10.1186/s13638-025-02528-yMulti-UAV path planning based on IACO and improved YOLOV8 perception for maritime search and rescue
Shuwei Sun, Hao Zhang, Enchong Dong
2025-11-18 · DOI: 10.1186/s13638-025-02529-xAn electroencephalogram approach to explore the effect of social exclusion and smoking cues on smoking urge
Yiming Zhang, Zhan Wang, Yan Chen, Donglei Tao et al.
2025-11-14 · DOI: 10.1186/s13638-025-02530-4A radar-video fusion method for 3D object detection based on on-board edge computing in intelligent connected environments
Yuliang Qi, Jia Sun, Chao Liu, Ziyue Zheng et al.
2025-11-12 · DOI: 10.1186/s13638-025-02526-0Middleware architecture performance analysis for vehicular ad hoc network
Rajender Kumar, Punit Soni, Purushottam Sharma, Tajinder Kumar et al.
2025-11-05 · DOI: 10.1186/s13638-025-02521-5Optimizing the OFDM radar waveform for LATT using WAF criteria in smart cities
Zohreh Asadsangabi, Reza Mohseni, Sadegh Samadi
2025-10-31 · DOI: 10.1186/s13638-025-02525-1Mitigating energy holes and enhancing QoS in delay-tolerant networks: the EEEHR-M protocol
K. Lakshmi Prabha, C. Ezhilazhagan, D. Senthil Kumar, S. Srimathi et al.
2025-10-29 · DOI: 10.1186/s13638-025-02515-3Balanced inter-relay charging buffer-aided IOT networks
Mohammad Alkhawatrah, Muhammad AlAyyad, Olga Korostynska
2025-10-28 · DOI: 10.1186/s13638-025-02524-2Automated detection of contradictions in 5G network specifications using reinforcement learning-trained small LLM
Wenbin Zhang, Qiang Wei, Haowen Chen, Yunfeng Wang et al.
2025-10-27 · DOI: 10.1186/s13638-025-02523-3Reviews
Community Reviews
Version History
October 4, 2026 at 9:13 pm
October 2, 2026