In the talk, presented an overview of recent information-theoretic results that provide a characterization of the largest energy efficiency achievable in the so-called unsourced massive multiple access scenario, where a large number of sporadically active devices access the wireless medium in an uncoordinated fashion. I also discussed extensions of this scenario to the case in which the number of active devices is random and unknown to the receiver, and to the case in which the devices transmit heterogeneous traffic consisting of both standard and critical messages.
If you are interested in this talk, I recorded one of my dry runs.
The slides I presented in the video contain a couple of typos (can you spot them?) An updated version of the slides is available here and the simulation code that we used to produce most of the results is on github.
The two papers that contain our extensions are:
K.-H. Ngo, A. Lancho, G. Durisi, and A. Graell i Amat, “Unsourced multiple access with random user activity,” IEEE Trans. Inf. Theory 2023, to appear, [pdf]
K.-H. Ngo, G. Durisi, A. G. i. Amat, P. Popovski, A. E. Kalor, and B. Soret, “Unsourced multiple access with common alarm messages: Network slicing for massive and critical IoT,” Feb. 2023 [pdf]