The leading journal to provide reviews, surveys, and tutorials on technical developments in electronics, electrical engineering, and computer science.

Joined October 2017
2,880 Photos and videos
#GreenEnergy's future may require rethinking today's #energy systems. @ProceedingsIEEE's latest Point of View explores new approaches to #decarbonization, #GridModernization, and a resource-resilient energy future designed around more abundant resources: bit.ly/ProceedingsIEEE_Dec20…
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In "The Shortage of Critical Minerals Warrants Different Approaches to #GreenEnergy", @Univerzitet_BG's Slobodan N. Vukosavić examines how demand for key minerals could outpace supply, and details alternative pathways for #decarbonization, #EnergyStorage, and #GridModernization.
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Can the global #EnergyTransition succeed without enough critical minerals to support it? @ProceedingsIEEE's latest Point of View explores how mineral availability, #SupplyChain challenges, and #EmergingTechnologies could shape a #SustainableEnergy future: bit.ly/ProceedingsIEEE_Dec20…
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If you aren't already subscribed to @ProceedingsIEEE's quarterly email #newsletter, doing so is fast and easy. Stay up-to-date on emerging #research, article highlights, #webinar and #events info, and more. Register now to receive your free copy: bit.ly/ProceedingsIEEENewsle…
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From #ResourceAllocation and #security to #MachineLearning, near-field sensing, and next-generation antenna technologies, #CFISAC is helping shape the future of #wireless systems. Learn more in this comprehensive review in @ProceedingsIEEE's latest issue: bit.ly/ProceedingsIEEE_CF–…
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Presented by @QUBelfast, @SIUC, and @UAlberta authors, "Cell-Free Integrated Sensing and Communication: Principles, Advances, and Future Directions" examines how #CFISAC can improve coverage, #reliability, and efficiency while highlighting key challenges and opportunities ahead.
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What if future #wireless networks could communicate and sense their surroundings simultaneously? Cell-free integrated sensing and communication (#CFISAC) could help make it possible. Learn more in @ProceedingsIEEE's latest issue and discover what's next: bit.ly/ProceedingsIEEE_CF–…
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Last week's @ProceedingsIEEE "Road to 6G" #webinar featured exceptional presentations by top researchers and experts on what lies ahead for #6G. If you didn't make it to the live session, the free on-demand replay is now available at our @YouTube channel: bit.ly/4sWXifv
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A #SignalProcessing leader and recipient of multiple distinguished research honors, #AaltoUniversity's Visa Koivunen helped advance fields like #wireless communications, #radar, and #ML. Learn more about this @ProceedingsIEEE Editorial Board member at: bit.ly/ProceedingsIEEE-EdBoa…
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We're now moving into the Q&A portion of today's @ProceedingsIEEE "Road to #6G" #webinar. Thank you to our speakers today for their interesting and informative presentations, and to everyone who attended. An on-demand replay will be available soon.
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What advances are we seeing in advanced #MIMO? @NUSingapore's Rui Zhang shares new developments such as holographic MIMO, and dynamic #metasurface antennas. #6G
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What applications might we see with #IRS? @NUSingapore's Rui Zhang details a number of new uses for IRS, including #UAVs, #satellite communications, and more. He also explores the approaces to #standardization of #6G and its practical deployment.
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Here's a helpful comparison of #IRS versus #MassiveMIMO, courtesy of @NUSingapore's Rui Zhang. He notes that Massive #MIMO was primarily used in #5G, but there is a need to scale. He also shares a look at new challenges introduced by IRS. #6G
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Our final speaker is @NUSingapore's Rui Zhang, who will be sharing highlights of his paper on #IntelligentSurfaces-empowered #wireless networks, and how it will impact #6G. He also shares the history of #IRS and #RIS, and an overview of what they are.
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How can you apply FEEL to enhance #6G network design? @sjtu1896's Meixia Tao shares three case studies showing how to solve design challenges. She also has a peek into future directions that FEEL might take.
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To help address these challenges, @sjtu1896's Meixia Tao shares that her paper explores the move from a data-oriented to a task-oriented paradigm, and offers a look at two case studies illustrating this. #6G
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According to @sjtu1896's Meixia Tao, there are still key challenges to be addressed when deploying FEEL. The first is the communications overhead. Another issue is data heterogeneity, and the last is resource heterogeneity. #6G
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What role will FEEL play in #6G? @sjtu1896's Meixia Tao says the vision for 6G is to be #AI native. This brings in two perspectives, as you can see here and read more about in her paper.
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We're now hearing from @sjtu1896's Meixia Tao, who is discussing Federated #EdgeLearning (also called "FEEL") for #6G. She notes that FEEL has a advantages over #cloud-based learning - for example, enhanced #DataPrivacy and being more context aware.
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One important thing to note is the differences between reliability, robustness, and resilience. Reliability was a key #5G focus, but resilience is a different thing altogether. #6G
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