D-RoF and A-RoF Interfaces in an All-Optical Fronthaul of 5G Mobile Systems [PDF]
This paper presents a solution for enabling the coexistence of digitized radio-over-fiber (D-RoF) and analog radio-over-fiber (A-RoF) interfaces operating in the optical fronthaul of 5G mobile systems. In the first section, we formulate the need to introduce new technologies to the cloud/centralized radio access network (C-RAN) (Next Generation RAN (NG-
Zbigniew Zakrzewski
exaly +4 more sources
Cross-Cultural Adaptation and Validation of the Arabic Rating-of-Fatigue Scale [PDF]
Background The Rating-of-Fatigue (ROF) scale is increasingly used to quantify subjective sensations of fatigue in exercise science. However, despite its growing international use, its psychometric properties have not yet been examined in Arabic-speaking ...
Mohamed Ali Baccouche +5 more
doaj +2 more sources
A Refined Rotation Forest-Based Ensemble Classifier for Lithological Mapping with ZY1-02D Hyperspectral Remote Sensing Imagery [PDF]
Hyperspectral remote sensing data provides distinct advantages for lithological classification in bedrock-exposed areas. Despite the superior performance of ensemble learning methods (e.g., Rotation Forest, ROF) in big data classification, their ...
Jing Xi +5 more
doaj +2 more sources
Network pharmacology, bioinformatics and in vitro/in vivo validation elucidate the anti-lung cancer activities and potential targets of Rhoifolin [PDF]
BackgroundRhoifolin (ROF), a naturally occurring flavonoid, exhibits broad bioactivities, but its therapeutic potential and underlying mechanisms in lung cancer remain largely unknown.
Jing Qian +6 more
doaj +2 more sources
A MAGDM approach based on dual hesitant Q-rung orthopair fuzzy Dombi norm with Hamy mean operators and its application [PDF]
As complex real-world decision-making intensifies, handling inherent fuzziness and uncertainty becomes crucial. Dual hesitant q-rung orthopair fuzzy (DHq-ROF) sets offer a solution for addressing ambiguity and hesitancy for multi-attribute group decision-
Xiuqin Ma +4 more
doaj +2 more sources
Deep learning (DL) technology has shown extensive potential for modeling radio‐over‐fiber (RoF) systems. Meanwhile, frequency multiplication technology serves as an effective approach to reduce the bandwidth requirements of core components in RoF links ...
Difei Shi +3 more
doaj +2 more sources
Effective Conservation Decisions Require Models Designed for Purpose: A Case Study of Boreal Caribou in Ontario's Ring of Fire. [PDF]
Decision making in conservation science often relies on the best available information, but existing models are rarely reproducible, transferrable, or accessible. We sought to reproduce and evaluate the suitability of the two best available models for predicting impacts of proposed mining on boreal woodland caribou (Rangifer tarandus caribou) in ...
Dyson ME +12 more
europepmc +2 more sources
Rhoifolin Ameliorates Osteoarthritis via Regulating Autophagy
Osteoarthritis (OA) is a common age-related joint disease. Its development has been generally thought to be associated with inflammation and autophagy.
Jiyuan Yan +8 more
doaj +1 more source
Heterogeneous Passive Optical Network based on Power over Fiber
The increasing demand of mobile network communication bandwidth requires more information in the limited bandwidth. In this paper, a novel bidirectional transmission system architecture based on Radio over Fiber Passive Optical Network (RoF-PON) system ...
Li-wei YANG +5 more
doaj +1 more source
Hybrid Precoding for Millimeter Wave RoF Systems [PDF]
<div>Large propagation path loss and limited scattering</div><div>of millimeter wave (mm-wave) channels create new challenges for physical layer signal processing. Hence, in this paper, we propose a photonic hybrid precoding model for mm-wave radio-over-fiber systems that overcomes hardware constraints on radio frequency precoding ...
Yahia Alghorani, Salama Ikki
openaire +1 more source

