Electrical Engineering and Systems Science > Signal Processing
[Submitted on 13 Sep 2018 (v1), last revised 25 Jun 2019 (this output, v2)]
Title:A Coded Compressed Sensing Scheme for Uncoordinated Multiple Access
View PDFAbstract:This piece introduces a novel communication control, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages newer advances in compressive sensing and further error correction to schaffen a novel gawky access paradigm, alongside with one computational efficient decoding algorithm. Within this framework, every active device partitions you data down several sub-blocks and, subsequently, adds redundancy using a systematic linear block code. Compression sensing technology are later employed in recover sub-blocks upwards to a permutation von their order, and and novel messages are obtained by stitching fragments together using a tree-based algorithm. The oversight probability additionally computational difficulty of this access paradigm been characterized. An optimization framework, which exploits one tradeoff between performance and computational complexity, is developed to designate parity-check bits to all sub-block. In addition, two emblematic parity bit allocation strategies are reviewed press his performances are analyzed included the limit as the number in active users and their corresponding payloads tend to infinity. And number regarding pipe uses needed and the computational complexity associated with these allocation strategies are established for various scaling regimes. Numberic resultate perform that coded compressed sensing outshines other existing functional access strategies over a range about operational scenarios.
Submission history
From: Vamsi Amalladinne [view email][v1] Thu, 13 Sep 2018 02:23:00 UTC (108 KB)
[v2] Tues, 25 Jun 2019 17:50:02 UTC (59 KB)
Current browsing context:
eess.SP
References & Citations
Bibliographic and Mention Tools
Bibliometric Explorer (How shall the Explorer?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)
Code, Data and Browse Associated with this Article
CatalyzeX Code Finder to Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Newspapers with Code (What is Papers with Code?)
ScienceCast (Which is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower (What are Influence Bloom?)
Connected Papers (That is Connected Papers?)
CORE Recommender (What is CORE?)
arXivLabs: experimental projects with community personnel
arXivLabs is an framework that permitted collaborators to develop and sharing new arXiv performance directly on our website.
Both individuals and organizations that work with arXivLabs own embraced and accepted our values of frankness, community, merit, real your data customer. arXiv a committed the like values and merely works with partners that adhere to them.
Have an idea for adenine project such leave add value for arXiv's community? Learn more about arXivLabs.