ArticleScientific reports2024
Improving the latency for 5G/B5G based smart healthcare connectivity in rural area.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Enhancement of LTE and NR systems through efficient physical cell identity allocation.Scientific reports · 2026Article
- Telerobotic surgery: a comprehensive two-decade evolution and the integration of emerging technologies.International journal of surgery (London, England) · 2026Review
- Energy-Aware Ultra-Reliable Low-Latency Communication for Healthcare IoT in Beyond 5G and 6G Networks.Sensors (Basel, Switzerland) · 2025Article
- Telesurgery: current status and strategies for latency reduction.Journal of robotic surgery · 2025Review
- Perioperative anesthesia management of remote 5G robot surgery and precautions for operation team.Journal of robotic surgery · 2025Review
- Optimizing Spectral Utilization in Healthcare Internet of Things.Sensors (Basel, Switzerland) · 2025Review
- Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services.Frontiers in medicine · 2025Article
- Applications of Fog Computing in Healthcare.Cureus · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smart hospitals are poised to greatly enhance life quality by offering persistent health monitoring capabilities. Remote healthcare and surgery, which are highly dependent on low latency, have seen a transformative improvement with the advent of 5G technology. This has facilitated a new breed of healthcare services, including monitoring and remote surgical procedures. The enhanced features of 5G, such as Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC), have enabled the development of advanced healthcare systems. These systems reduce the need for direct patient contact in hospitals, which is especially pertinent as 5G becomes more widespread. This research presents novel hybrid detection algorithms, specifically QR decomposition with M-algorithm maximum likelihood-minimum mean square error (QRM-MLD-MMSE) and QRM-MLD-ZF (zero forcing), for use in Massive MIMO (M-MIMO) technology. These methods aim to decrease the latency in MIMO-based Non-Orthogonal Multiple Access (NOMA) waveforms while ensuring optimal bit error rate (BER) performance. We conducted simulations to evaluate parameters like BER and power spectral density (PSD) over Rician and Rayleigh channels using both the proposed hybrid and standard algorithms. The study concludes that our hybrid algorithms significantly enhance BER and PSD with lower complexity, marking a substantial improvement in 5G communication for smart healthcare applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.