Type-Based Unsourced Multiple Access
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866916324096081920 |
|---|---|
| author | Ngo, Khac-Hoang Krishnan, Deekshith Pathayappilly Okumus, Kaan Durisi, Giuseppe Ström, Erik G. |
| author_facet | Ngo, Khac-Hoang Krishnan, Deekshith Pathayappilly Okumus, Kaan Durisi, Giuseppe Ström, Erik G. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_19552 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Type-Based Unsourced Multiple Access Ngo, Khac-Hoang Krishnan, Deekshith Pathayappilly Okumus, Kaan Durisi, Giuseppe Ström, Erik G. Information Theory 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. |
| title | Type-Based Unsourced Multiple Access |
| topic | Information Theory |
| url | https://arxiv.org/abs/2404.19552 |