Experimental Investigation and Comparison of Modulation Types for High Capacity Broadband Transmission System to Support 5G Networks

Almufti, A. M.; Morozov, Oleg G.; Мисбахов, Р. Ш.; Garovov, Ya. K.; Niyazgulyeva, A. M.

doi:10.1109/ieeeconf56737.2023.10092177

Cited by 2 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With 5G technology, the integration of EEG with wearable and seamlessly integrated devices becomes even more potent. Furthermore, 5G networks provide higher bandwidth, reduced latency, and increased device density, enabling efficient real-time communication and data exchange between wearable devices, edge servers, and cloud platforms [145]. This enables the rapid transmission and timely analysis of EEG data for improved healthcare outcomes.…”

Section: Challenges and Opportunities Of Wearable And Seamlessly Inte...mentioning

confidence: 99%

Review of EEG-Based Biometrics in 5G-IoT: Current Trends and Future Prospects

Beyrouthy,

Mostafa,

Roshdy

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

The increasing integration of the Internet of Things (IoT) into daily life has led to significant changes in our social interactions. The advent of innovative IoT solutions, combined with the enhanced capabilities and expanded reach of 5G wireless networks, is altering the way humans interact with machines. Notably, the advancement of edge computing, underpinned by 5G networks within IoT frameworks, has markedly extended human sensory perception and interaction. A key biometric within these IoT applications is electroencephalography (EEG), recognized for its sensitivity, cost-effectiveness, and distinctiveness. Traditionally linked to brain–computer interface (BCI) applications, EEG is now finding applications in a wider array of fields, from neuroscience research to the emerging area of neuromarketing. The primary aim of this article is to offer a comprehensive review of the current challenges and future directions in EEG data acquisition, processing, and classification, with a particular focus on the increasing reliance on data-driven methods in the realm of 5G wireless network-supported EEG-enabled IoT solutions. Additionally, the article presents a case study on EEG-based emotion recognition, exemplifying EEG’s role as a biometric tool in the IoT domain, propelled by 5G technology.

show abstract

Section: Challenges and Opportunities Of Wearable And Seamlessly Inte...mentioning

confidence: 99%