دورية أكاديمية

Study of Clustering Solutions for Scalable Cell-Free Massive MIMO

التفاصيل البيبلوغرافية
العنوان: Study of Clustering Solutions for Scalable Cell-Free Massive MIMO
المؤلفون: Danaisy Prado-Alvarez, Daniel Calabuig, Jose F. Monserrat, Samer Bazzi, Wen Xu
المصدر: IEEE Access, Vol 11, Pp 26703-26711 (2023)
بيانات النشر: IEEE, 2023.
سنة النشر: 2023
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Cell-free massive multiple-input multiple-output (MIMO), scalability, clustering, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: In response to the requirements of 5G and beyond, cell-free systems have emerged to ensure uniform service throughout the area. However, the idea of having no cells leads to a considerably large monolithic system, which is not scalable. In this context, common sense suggests the creation of clusters of Access Points (APs) and User Equipments (UEs) that allow the system to be managed locally to some extent. The clustering procedure has to ensure certain performance for the global system and, at the same time, ensure its scalability. In this paper, first, scalability is analyzed. Subsequently, we study and compare two clustering approaches for uplink and downlink. Finally, we propose a combination of clustering and resource allocation techniques that outperforms the rest of the analyzed state-of-the-art solutions.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/10065425/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2023.3255828
URL الوصول: https://doaj.org/article/1a7b6a209c184c94a92db33609eac45c
رقم الأكسشن: edsdoj.1a7b6a209c184c94a92db33609eac45c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2023.3255828