A wave of digitalization is sweeping over the world, but not everything benefits from a transformation from analog to digital methods. In this episode, Emil Björnson and Erik G. Larsson discuss the fundamentals of analog modulation techniques to pinpoint their key advantages. Particular attention is given to how analog modulation enables over-the-air aggregation of data, which can be used for computations, efficient federated training of machine learning models, and distributed hypothesis testing. The conversation covers the need for coherent operation and power control and outlines the challenges that researchers are now facing when extending the methods to multi-antenna systems. Towards the end, the following paper is mentioned: “Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification” (https://arxiv.org/pdf/2203.12957.pdf). Music: On the Verge by Joseph McDade. Visit Erik’s website https://liu.se/en/employee/erila39 and Emil’s website https://ebjornson.com/
20. Wireless Solutions for the Internet of Things (With Liesbet Van der Perre)
19. Future of Multi-Antenna Technology and Spectrum (With Thomas Marzetta)
18. Ever-Present Intelligent 6G Communications (With Magnus Frodigh)
17. Energy-Efficient Communications
16. 6G and the Physical Layer (with Angel Lozano)
15. Wireless for Machine Learning (with Carlo Fischione)
14. Q/A on MIMO, NOMA, and THz Communications
13. Distributed and Cell-Free Massive MIMO
12. Privacy and Security in Connectivity (with Panos Papadimitratos)
11. Non-Orthogonal Multiple Access
10. Reaching the Terabit/s Goal
9. Q/A on Reconfigurable Intelligent Surfaces
8. Analog versus Digital Beamforming (with Bengt Lindoff)
7. Machine Learning for Wireless
6. Q/A on Massive MIMO
5. Millimeter Wave Communication
4. Is Wireless Technology Secure?
3. Reconfigurable Intelligent Surfaces
2. Myths About Massive MIMO
1. Massive MIMO: Where Do We Stand?
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