Technical Program

Paper Detail

Paper Title Massive Random Access with Common Alarm Messages
Paper IdentifierMO1.R6.3
Authors Kristoffer Stern, Anders Ellersgaard Kalør, Beatriz Soret, Petar Popovski, Aalborg Universiy, Denmark
Session Random Access and Group Testing
Location Sorbonne, Level 5
Session Time Monday, 08 July, 09:50 - 11:10
Presentation Time Monday, 08 July, 10:30 - 10:50
Manuscript  Click here to download the manuscript
Abstract The established view on massive IoT access is that the IoT devices are activated randomly and independently. This is a basic premise also in the recent information-theoretic treatment of massive access by Polyanskiy. In a number of practical scenarios, the information from IoT devices in a given geographical area is inherently correlated due to a commonly observed physical phenomenon. We introduce a model for massive access that accounts for correlation both in device activation and in the message content. To this end, we introduce common alarm messages for all devices. A physical phenomenon can trigger an alarm causing a subset of devices to transmit the same message at the same time. We develop a new error probability model that includes false positive errors, resulting from decoding a non-transmitted codeword. The results show that the correlation allows for high reliability at the expense of spectral efficiency. This reflects the intuitive trade-off: an access from a massive number can be ultra-reliable only if the information across the devices is correlated.