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IEEE Transactions on Green Communications and Networking is a peer-reviewed journal published by IEEE, covering Advanced MIMO Systems Optimization, Energy Harvesting in Wireless Networks, Advanced Wireless Communication Technologies. Over its lifetime it has published 1,547 papers, which have received 27,273 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 Green Communications and Networking, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Green Communications and Networking style. No sign-up. |
| Publishes research in | Advanced MIMO Systems Optimization Energy Harvesting in Wireless Networks Advanced Wireless Communication Technologies IoT and Edge/Fog Computing UAV Applications and Optimization |
| ISSN | 2473-2400 |
| Citation impact (2-yr) | 3.6 |
| h-index | 70 |
| i10-index | 688 |
| Top institutions publishing here | Beijing University of Posts and Telecommunications |
| Journal website | ieeexplore.ieee.org |
| 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.
We consider the cell-free massive multiple-input multiple-output (MIMO) downlink, where a very large number of distributed multiple-antenna access points (APs) serve many single-antenna users in the same time-frequency resource. A simple (distributed) conjugate beamforming scheme is applied at each AP via the use of local channel state information (CSI). This CSI is acquired through time-division…
In this paper, we consider a scenario where an energy harvesting sensor continuously monitors a system and sends time-stamped status updates to a destination. The destination keeps track of the system status through the received updates. We use the metric Age of Information (AoI), the time that has elapsed since the last received update was…
Cloud Data Centers (CDCs) have become a vital computing infrastructure for enterprises. However, CDCs consume substantial energy due to the increased demand for computing power, especially for the Internet of Things (IoT) applications. Although a great deal of research in green resource allocation algorithms have been proposed to reduce the energy consumption of the CDCs,…
As one of the most promising applications in future Internet of Things, Internet of Vehicles (IoV) has been acknowledged as a fundamental technology for developing the Intelligent Transportation Systems in smart cities. With the emergence of the sixth generation (6G) communications technologies, massive network infrastructures will be densely deployed and the number of network nodes…
In this paper, we investigate the resource allocation problem for unmanned aerial vehicle (UAV)-assisted networks, where a UAV acting as an energy source provides radio frequency energy for multiple energy harvesting-powered device-to-device (D2D) pairs with much information to be transmitted. The goal is to maximize the average throughput within a time horizon while satisfying the…
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