Type-Based Unsourced Multiple Access
Paper in proceeding, 2024

We generalize the type-based multiple access framework proposed by Mergen and Tong (2006) to the case of unsourced multiple access. In the proposed framework, each device tracks the state of a physical/digital process, quantizes this state, and communicates it to a common receiver through a shared channel in an uncoordinated manner. The receiver aims to estimate the type of the states, i.e., the set of states and their multiplicity in the sequence of states reported by all devices. We measure the type estimation error using the Wasserstein distance. Considering an example of multi-target position tracking, we show that type estimation can be performed effectively via approximate message passing. Furthermore, we determine the quantization resolution that minimizes the type estimation error by balancing quantization distortion and communication error.

Author

Khac-Hoang Ngo

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Deekshith Pathayappilly Krishnan

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Kaan Okumus

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Giuseppe Durisi

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Erik Ström

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

23253789 (ISSN)

911-915
9798350393187 (ISBN)

25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024
Lucca, Italy,

Energy-­efficient massive random access for real­-time distributed autonomous systems

Swedish Research Council (VR) (2021-04970), 2022-01-01 -- 2025-12-31.

Subject Categories

Telecommunications

Signal Processing

Computer Systems

DOI

10.1109/SPAWC60668.2024.10694658

More information

Latest update

11/6/2024