Type-Based Unsourced Multiple Access

TL;DR

The document provides a comprehensive style guide for producing IEEE-style scientific writings using LaTeX, detailing precise conventions for punctuation, spelling, typography, math notation, references, and figures. It also outlines recommended paper structure, presentation planning, and practical LaTeX practices such as semantic macros and layout consistency. By emphasizing clarity, consistency, and publication-readiness, the guide aims to reduce common formatting pitfalls and streamline the authoring process for scholarly communication.

Abstract

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.