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IEEE Transactions on Machine Learning in Communications and Networking is a peer-reviewed journal published by IEEE, covering Advanced MIMO Systems Optimization, Privacy-Preserving Technologies in Data, Network Security and Intrusion Detection. Over its lifetime it has published 285 papers, which have received 1,980 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Machine Learning in Communications and Networking, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Machine Learning in Communications and Networking style. No sign-up. |
| Publishes research in | Advanced MIMO Systems Optimization Privacy-Preserving Technologies in Data Network Security and Intrusion Detection Software-Defined Networks and 5G Millimeter-Wave Propagation and Modeling |
| ISSN | 2831-316X |
| Citation impact (2-yr) | 5.36 |
| h-index | 23 |
| i10-index | 70 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | University of Oulu |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is proposed to meet the demands of data rate, latency, and connectivity in sixth-generation (6G) networks. The two techniques can support each other to increase the performance of the 6G system. In a RIS-aided system, channel estimation is a challenging problem, especially…
Fingerprinting (FP) significantly improves the indoor localization performance in non-line-of-sight-dominated areas. However, its deployment and maintenance is cost-intensive as it needs ground-truth reference systems for both the initial training and the adaption to environmental changes. Recently, channel charting (CC) has been investigated because it is an unsupervised method that does not need labeled measurement data.…
Ray tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and environment-specific channel impulse responses (CIRs). While acquiring accurate scene geometries is now relatively straightforward, determining material characteristics requires precise calibration using channel measurements. We therefore introduce a novel gradient-based calibration method, complemented by differentiable parametrizations of material properties, scattering and antenna…
The upsurge of Internet of Things (IoT) devices has increased their vulnerability to Distributed Denial of Service (DDoS) attacks. DDoS attacks have evolved into complex multi-vector threats that high-volume and low-volume attack strategies, posing challenges for detection using traditional methods. These challenges highlight the importance of reliable detection and prevention measures. This paper introduces a…
Cell-free massive multiple-input multiple-output (MIMO) systems consist of geographically-distributed multi-antenna access points (APs) that form a virtual massive MIMO array. To make the network arbitrarily scalable in size, each user should be served by the best possible personalized user-centric cluster of nearby APs. Unfortunately, determining that cluster is a combinatorially-complex problem made even harder when…
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