[HTML][HTML] A comprehensive review on 5G-based smart healthcare network security: taxonomy, issues, solutions and future research directions

A Ahad, Z Ali, A Mateen, M Tahir, A Hannan, NM Garcia… - Array, 2023 - Elsevier
Healthcare is experiencing a fast change from a hospital-centric and specialist-focused
model to one that is dispersed and patient-centric. Numerous technological advancements …

6G and Intelligent Healthcare: Taxonomy, technologies, open issues and future research directions

A Ahad, Z Jiangbina, M Tahir, I Shayea, MA Sheikh… - Internet of Things, 2024 - Elsevier
ABSTRACT A decentralized patient-centric paradigm is gradually replacing the traditional
hospital and specialist-focused healthcare model. Communication technologies have made …

[HTML][HTML] 5G technology for healthcare: Features, serviceable pillars, and applications

M Javaid, A Haleem, RP Singh, R Suman - Intelligent Pharmacy, 2023 - Elsevier
Abstract 5G refers to wireless network technology and has opened up new healthcare
possibilities in innovation and expanded access to treatment. 5G is a unified, powerful air …

An AI-assisted smart healthcare system using 5G communication

B Pradhan, S Das, DS Roy, S Routray… - IEEE …, 2023 - ieeexplore.ieee.org
Technology's fast growth has profoundly impacted myriad areas, including healthcare.
Implementing 5G networks offering high-speed and low-latency communication capabilities …

[HTML][HTML] Energy-efficient joint resource allocation in 5G HetNet using Multi-Agent Parameterized Deep Reinforcement learning

A Mughees, M Tahir, MA Sheikh, A Amphawan… - Physical …, 2023 - Elsevier
Small cells are a promising technique to improve the capacity and throughput of future
wireless networks. However, user association and power allocation in heterogeneous …

An intelligent clustering-based routing protocol (crp-gr) for 5g-based smart healthcare using game theory and reinforcement learning

A Ahad, M Tahir, MA Sheikh, KI Ahmed, A Mughees - Applied Sciences, 2021 - mdpi.com
With advantages such as short and long transmission ranges, D2D communication, low
latency, and high node density, the 5G communication standard is a strong contender for …

Federated machine learning in 5G smart healthcare: a security perspective review

HA Butt, A Ahad, M Wasim, I Shayea, PJ Coelho… - Procedia Computer …, 2023 - Elsevier
Federated learning (also known as collaborative learning) is a decentralized approach to
training machine learning models. In 5G smart healthcare, federated machine learning …

Optimal route selection in 5G-based smart health-care network: a reinforcement learning approach

A Ahad, M Tahir, MAS Sheikh… - 2021 26th IEEE Asia …, 2021 - ieeexplore.ieee.org
Smart health-care is the most promising application of the next-generation 5G wireless
network. Because of low latency and high data rate, many applications with high resources …

5G and IoT for Intelligent Healthcare: AI and Machine Learning Approaches—A Review

HA Butt, A Ahad, M Wasim, F Madeira… - … Conference on Smart …, 2023 - Springer
New opportunities for AI-powered healthcare systems have emerged thanks to the
integration of 5G wireless technology, the Internet of Things (IoT), and AI. This article …

Optimizing Patient Recruitment for Clinical Trials: A Hybrid Classification Model and Game-Theoretic Approach for Strategic Interaction

OK ChandraUmakantham, I Singh, S Marappan - IEEE Access, 2024 - ieeexplore.ieee.org
This research is imperative due to the pressing need for improved patient recruitment in
clinical trials, addressing challenges such as delays and high costs. By introducing a …