Many assumptions must be made when simulating a communication link, including the modulation format, channel coding, multi-antenna transmission scheme, receiver processing, and channel modeling. In this episode, Emil Björnson and Erik G. Larsson are visited by Jakob Hoydis, Principal Research Scientist at NVIDIA, to discuss the fundamentals of link-level simulations. Jakob has led the development of the new open-source simulator Sionna, which is particularly well suited for machine learning research. The conversation covers the needs and means for making accurate simulations, channel modeling, reproducibility, and how machine learning can be used to improve standard algorithms. Other topics that are discussed are MIMO decoding and technical debt. Sionna can be downloaded from https://nvlabs.github.io/sionna/ and the white paper that is mentioned in the episode is found here: https://arxiv.org/pdf/2203.11854.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/
40. Synchronization of Massive Antenna Arrays
39. Radio Stripes at Terahertz (With Parisa Aghdam)
38. Things We Learned at the 6G Symposium
37. Wireless Future Panel Discussion (Live Podcast)
36. 6G from an Operator Perspective
35. Ten Challenges on the Road to 6G
34. How to Achieve 1 Terabit/s over Wireless?
33. Reproducible Wireless Research
32. Information-Theoretic Foundations of 6G (With Giuseppe Caire)
31. Analog Modulation and Over-the-Air Aggregation
29. Six 6G Technologies: The cases for and against
28. Ultra-Reliable Low-Latency Communication (With Petar Popovski)
27. Open Air Interface (With Florian Kaltenberger)
26. Network Slicing
25. What Models are Useful?
24. Q&A With 5G and 6G Predictions
23. Wireless Localization and Sensing (With Henk Wymeersch)
22. Being Near or Far in Wireless
21. Wireless Coverage Without Beamforming
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