https://www.um.edu.mt/library/oar/handle/123456789/5627 Thu, 02 Jul 2026 09:18:48 GMT 2026-07-02T09:18:48Z https://www.um.edu.mt/library/oar/handle/123456789/147489 Title: A LiFi-based innovative 6G solution for hospitals using green wavelength, directly modulated laser Authors: Sharma, Ajay; Xuereb, Peter A.; Garg, Lalit Abstract: This paper proposes an innovative light-fidelity (Li-Fi) system for high-speed communication in hospital environments that operates at a green wavelength of 500 nm with Directly Modulated Laser (DML). The proposed system shows an excellent performance and achieves a Q factor of 18.84, a bit error rate (BER) of 1.6e-79, and a signal-to noise ratio (SNR) of 74.94 dB, which is significantly better than the previous research. It also has a range of up to 25 m line-of-sight (LOS) and can transfer data at speeds in excess of 1 Gbps, making it significantly faster than previous work conducted with much lower LOS ranges while being robust against interference. New applications of DML combined with optical splitters contribute to providing signal stability and system scalability, overcoming problems such as low range. This design ensures safe, reliable, and non-intrusive communication, ideal for applications that require high data reliability, such as real-time imaging and telemedicine in hospitals. This new Li-Fi system is found to be compatible with modern hospital power requirements, and it also provides a solid foundation for future 6G communication networks. Thu, 01 Jan 2026 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/147489 2026-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/147402 Title: Enhancing hospital security and patient monitoring through WhoFi-inspired LiFi channel sensing with privacy preservation Authors: Sharma, Ajay; Garg, Lalit; Xuereb, Peter Albert Abstract: Ensuring both secure connectivity and patient safety has become a growing concern in modern hospitals. Although LiFi (Light Fidelity) provides high-speed and interference-free communication, the possibility of using it as a sensing platform has not been investigated to the full extent. This paper presents a LiFi-based system that integrates WHOFi for hospital security and patient monitoring. With simulations based on MATLAB, we simulate the change in LiFi channels due to human presence, movement, and falls and extract statistical and spectral characteristics of the machine learning classifier. The system has a high accuracy of around 94% in activity recognition (empty, movement, fall) and the Equal Error Rate (EER) of 5% in staff authentication. Such a solution is privacy-sensitive, non-invasive and inherently limited to the room boundaries, unlike camera-based or wearable systems, which increase the level of security and patient monitoring in healthcare settings. The findings point to the two-fold nature of LiFi as a communication and sensing technology, which opens the potential for smart hospital infrastructures. This numerical evaluation study will be expanded to hardware testbeds and deep learning models to be applicable in the real world in the future. The proposed system enhances hospital data security and patient tracking efficiency using optical wireless communication. Sun, 01 Feb 2026 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/147402 2026-02-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/146322 Title: Special issue “Towards a higher education of the future : transformational roles of edge intelligence” Authors: Doshi, Ruchi; Hu, Yu-Chen; Garg, Lalit; Fagbola, Temitayo Abstract: Higher Education of the Future (HEF) is anticipated to be a scalable educational framework that is driven by new digital learning architectures and platforms, as well as collaborative learning systems, that are able to completely guarantee self-paced, customizable, personalized and flexible teaching/learning experiences. The HEF concept strongly points toward a “learning from everywhere” model. The need for HEF is motivated, among other things, by the fact that most state-of-the-art higher education system models currently being used for driving and transitioning higher education are structurally, socially, and technologically incapacitated to meet the key requirements towards delivering a foreseeable smart, real-time intelligence driven HEF. [excerpt] Mon, 01 Jan 2024 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/146322 2024-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/143231 Title: Design and performance evaluation of a green LED OFDM LiFi system for an electromagnetic interference sensitive hospital network Authors: Sharma, Ajay; Garg, Lalit; Atieh, Ahmad; Xuereb, Peter A. Abstract: Light Fidelity (LiFi) is an alternative technology to Wireless Fidelity (WiFi) for secure, high-speed hospital communication. The main objective of this study is to design a Four-Quadrature Amplitude Modulation-Orthogonal Frequency Division Multiplexing (4QAM-OFDM) LiFi system that overcomes electromagnetic interference (EMI), ensures biological safety, guarantees secure medical data transmission, and delivers high-speed, low-latency connectivity for hospital networks. The core contribution is a holistic 4QAM-OFDM LiFi design that offers superior spectral efficiency, significantly reduced Bit Error Rate (BER), and compliance with healthcare safety standards compared to existing LiFi systems, as demonstrated by its simulation using OptiSystem 21 and MATLAB R2024b. Using a 500 nm Light-Emitting Diode (LED) compliant with photobiological safety standards safeguards biological safety, while utilizing 1024-subcarrier OFDM decreases ISI. The receiver’s Positive-Intrinsic-Negative (PIN) photodetector converts optical signals to electrical form, while the quadrature demodulator minimizes phase distortion, achieving a BER of 4.25E-3 at 30 dBm— further reducible to E-9 with error correction for reliable hospital communication. This performance demonstrates the system’s suitability for mission-critical applications such as AI-assisted diagnostics, robotic surgery, and real-time medical imaging. The proposed system maintained excellent tolerance to both multipath distortion and external EMI, resolving EMI-related device interference, improving energy efficiency through reduced power consumption, and enhancing security via optical confinement that prevents signal leakage beyond hospital rooms. This enables a practical and scalable pathway for replacing WiFi in hospital environments, ensuring uninterrupted, high-speed, and safe communication for both routine and life-critical healthcare applications. The system reduces power consumption, diminishes CO₂ emissions, and improves hospital energy efficiency by promoting sustainable and eco-friendly LiFi technology. This study confirms LiFi as a secure, high-performance WiFi alternative for hospitals, meeting healthcare standards. Thu, 01 Jan 2026 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/143231 2026-01-01T00:00:00Z