EconPapers    
Economics at your fingertips  
 

Joint block sparse signal recovery-based active user detection in 5G cloud radio access networks

Mehdi Torabnezhad () and Mohammadreza Zahabi ()
Additional contact information
Mehdi Torabnezhad: Babol Noshirvani University of Technology
Mohammadreza Zahabi: Babol Noshirvani University of Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2024, vol. 86, issue 2, No 3, 269-280

Abstract: Abstract The Cloud Radio Access Network (C-RAN) is a state-of-the-art system paradigm that simultaneously improves spectral and energy efficiency. Capacity constraints of the fronthaul links connecting Remote Radio Heads (RRH) to the Cloud Unit are notable limitations of these networks. The multitude of RRHs and users make active user estimation and calculating Channel Side Information (CSI) between active users and RRHs necessary for implementing these networks. Moreover, in C-RAN, user activity detection is essential for energy-efficient resource allocation, calculating CSI, optimal precoder design, interference management, and multi-user detection. This study investigates active user detection in C-RAN as a joint block sparse signal recovery problem and evaluates the impact of fronthaul limitations, sparsity level, and other network parameters for different sparse signal reconstruction methods. We introduce an efficient method that is based on recovering multiple sparse signals sharing the same sparsity pattern or the same support set of non-zero entries. This method is developed using 5G training signals for user activity detection in C-RAN with fronthaul capacity limitations and without prior knowledge of the sparsity of users. In the end, we compare active user detection results for different sparse signal recovery methods, namely joint block sparse signal and block sparse signal algorithms, with different network specifications.

Keywords: Active user detection; Capacity-limited fronthaul links; Cloud radio access networks; Joint block; Sparse signal recovery; Multiple measurement vectors (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-024-01159-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:86:y:2024:i:2:d:10.1007_s11235-024-01159-w

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-024-01159-w

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-12
Handle: RePEc:spr:telsys:v:86:y:2024:i:2:d:10.1007_s11235-024-01159-w