Results 61 to 70 of about 2,048 (174)
This study introduces a meta‐federated deep reinforcement learning (Meta‐FedDRL) framework to address dynamic resource allocation (DRA) challenges in ultra‐dense and heterogeneous 5G and beyond network slicing. The proposed approach enables distributed learning while preserving data confidentiality and enhancing generalization.
Faustin Samafou +4 more
wiley +1 more source
This paper investigates adaptive user pairing (UP) under different non-orthogonal medium access choices in 5G-and-beyond cellular IoT networks to balance the uplink performance of mission-critical (MC) and enhanced mobile broadband (eMBB) services.
Farnaz Khodakhah +3 more
doaj +1 more source
Objectives Rapid identification of drug‐resistant tuberculosis remains critical for the initiation of appropriate treatment regimens, improved success rates and reduction in the development of drug resistance. In this study, we compared the diagnostic performance of two novel diagnostic tests, Xpert MTB/XDR and Deeplex Myc‐TB (both CE marked).
Mirae Park +5 more
wiley +1 more source
Given the explosive increase in mobile data traffic, the wireless communication system of today and beyond has to be able to offer both high spectral efficiency and energy efficiency (EE) under challenging propagation environments such as deep indoor, high‐speed mobility, or tunneling. This work presents an improved structure of doing SIMO SC‐FDMA–DMWT
Mohammed Aboud Kadhim +3 more
wiley +1 more source
The fifth-generation (5G) New Radio (NR) introduces stringent delay and reliability requirements to support diverse services, including enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC).
Zahraa Mehssen Agheeb Al Hamdawee1 +2 more
doaj +1 more source
Joint Link Adaptation and Scheduling for 5G Ultra-Reliable Low-Latency Communications
This paper presents solutions for efficient multiplexing of ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) traffic on a shared channel.
Guillermo Pocovi +2 more
doaj +1 more source
In the forthcoming 6G era, network infrastructure must achieve unprecedented energy efficiency, adaptability, and ultralow latency. This paper proposes a novel Deep Q‐Network (DQN)‐based routing framework that leverages network‐controlled repeaters (NCRs) to optimize routing paths dynamically.
Ayesha Siddika Mourin +2 more
wiley +1 more source
A Review of the Internet of Things (IoT) Landscape: Technologies, Applications, and Open Challenges
The Internet of Things (IoT) has emerged as a large‐scale ecosystem that integrates sensing, communication, and computation across diverse application domains. Its deployment spans smart homes, wearable devices, industrial automation, and smart cities, where heterogeneous devices are required to operate under strict performance, reliability, and ...
Sidna Jeddou +5 more
wiley +1 more source
Performance Enhancement of Cell Edge Users in NOMA Based Systems Using Fractional Frequency Reuse
Nonorthogonal multiple access (NOMA) causes significant performance loss for cell‐edge users due to strong intercell interference and fairness constraints under dense deployments. Although fractional frequency reuse (FFR) to improve dependability, especially for cell‐edge users, is widely researched, joint optimization with SINR‐based zoning and NOMA ...
Jesvin Veancy +4 more
wiley +1 more source
Combating Drug‐Resistant Tuberculosis: Advancements in Diagnostics and Therapeutics
The increasing prevalence of multidrug‐resistant (MDR) and extensively drug‐resistant (XDR)Mycobacterium tuberculosis has emerged as a major global health concern. Advanced molecular diagnostics, including rapid assays, have improved resistance detection; however, resource‐limited settings remain underserved. Nanotechnology‐based drug delivery systems,
Silvi Gautam +5 more
wiley +1 more source

