We have now released the twentieth episode of the podcast Wireless Future! It has the following abstract:
Many objects around us are embedded with sensors and processors to create the Internet of Things (IoT). Wireless connectivity is an essential component for enabling these devices to exchange data without human interaction. To learn more about this development, Erik G. Larsson and Emil Björnson have invited Liesbet Van der Perre, Professor at KU Leuven, Belgium. The conversation covers IoT applications, connectivity solutions, powering, security, sustainability, and e-waste. Further details can be found in the article “The Art of Designing Remote IoT Devices—Technologies and Strategies for a Long Battery Life”.
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Our podcast is back with a second season! The first episode has number 19 and the following abstract:
How far is the capacity of wireless networks from the limits imposed by nature? To seek an answer to this question, Erik G. Larsson and Emil Björnson invited Thomas Marzetta, Distinguished Industry Professor and originator of Massive MIMO, to this first episode of the second season. The conversation covers the history of that technology and the fundamental aspects that will always dictate the capacity of wireless networks: antenna technology, channel state information, spectral efficiency, bandwidth, spectrum bands, and link budgets. To learn more, you can read the article “Massive MIMO is a Reality – What is Next? Five Promising Research Directions for Antenna Arrays”.
You can watch the video podcast on YouTube:
You can listen to the audio-only podcast at the following places:
We have now released the 18th episode of the podcast Wireless Future, which is the last one in the first season (we are taking a summer break). The episode has the following abstract:
Many individuals are speculating about 6G, but in this episode, you will hear the joint vision of 700+ researchers at Ericsson. Erik G. Larsson and Emil Björnson are visited by Magnus Frodigh, Vice-President and Head of Ericsson Research. His team has recently published the white paper “Ever-present intelligent communication: A research outlook towards 6G”. The conversation covers emerging applications, new requirements, and research challenges that might define the 6G era. How can we achieve limitless connectivity? Which frequency bands will become important? What is a network compute fabric? What should students learn to take part in the 6G development? These are just some of the questions that are answered.
You can watch the video podcast on YouTube:
You can listen to the audio-only podcast at the following places:
We have now released the 17th episode of the podcast Wireless Future, with the following abstract:
The wireless data traffic grows by 50% per year which implies that the energy consumption in the network equipment is also growing steadily. This raises both environmental and economic concerns. In this episode, Erik G. Larsson and Emil Björnson discuss how the wireless infrastructure can be made more energy-efficient. The conversation covers the basic data traffic characteristics and definition of energy efficiency, as well as what can be done when designing future network infrastructure, planning deployments, and developing efficient algorithms. To learn more, they recommend the IEEE 5G and Beyond Technology Roadmap article “Energy Efficiency” and also “Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO”.
You can watch the video podcast on YouTube:
You can listen to the audio-only podcast at the following places:
We have now released the 16th episode of the podcast Wireless Future, with the following abstract:
The research community’s hype around 5G has quickly shifted to hyping the next big thing: 6G. This raises many questions: Did 5G become as revolutionary as previously claimed? Which physical-layer aspects remain to be improved in 6G? To discuss these things, Erik G. Larsson and Emil Björnson are visited by Professor Angel Lozano, author of the seminal papers “What will 5G be?” and “Is the PHY layer dead?”. The conversation covers the practical and physical limits in communications, the role of machine learning, the relation between academia and industry, and whether we have got lost in asymptotic analysis. Please visit Angel’s website.
You can watch the video podcast on YouTube:
You can listen to the audio-only podcast at the following places:
We have now released the 15th episode of the podcast Wireless Future, with the following abstract:
Machine learning builds on the collection and processing of data. Since the data often are collected by mobile phones or internet-of-things devices, they must be transferred wirelessly to enable machine learning. In this episode, Emil Björnson and Erik G. Larsson are visited by Carlo Fischione, a Professor at the KTH Royal Institute of Technology. The conversation circles around distributed machine learning and how the wireless technology can evolve to support learning applications via network slicing, information-aware communication, and over-the-air computation. To learn more, they recommend the article “Wireless for Machine Learning”. Please visit Carlo’s website and the Machine Learning for Communications ETI website.
You can watch the video podcast on YouTube:
You can listen to the audio-only podcast at the following places:
We have now released the 14th episode of the podcast Wireless Future, with the following abstract:
In this episode, Emil Björnson and Erik G. Larsson answer questions from the listeners on the topics of distributed MIMO, THz communications, and non-orthogonal multiple access (NOMA). Some examples are: Is cell-free massive MIMO really a game-changer? What would be its first use case? Can visible light communications be used to reach 1 terabit/s? Will Massive MIMO have a role to play in THz communications? What kind of synchronization and power constraints appear in NOMA systems? Please continue asking questions and we might answer them in later episodes!
You can watch the video podcast on YouTube:
You can listen to the audio-only podcast at the following places:
