Maximizing energy efficiency in HetNets through centralized and distributed sleep strategies under QoS constraint.

This research addresses the critical need to optimize the Energy Efficiency (EE) for Ultra-Dense HetNets amid the ever-increasing demands for high-speed data networks. The rapid increase in high-speed devices highlights the urgent necessity for a transformative change in upcoming 5G cellular networks. According to Ericsson's 2022 report, mobile data traffic volume is expected to double by 2027, with mobile video traffic anticipated to rise by nearly 30% each year.

Beyond boundaries: Navigating the positive potential of ChatGPT, empowering education in underdeveloped corners of the world.

In November 2022, ChatGPT3, an advanced AI-powered chatbot, emerged suddenly, generating significant interest in higher education. Concerns arose regarding its potential to complicate the authentication of genuine student work. While some foresaw negative impacts, we advocate a positive outlook, suggesting educators can utilize ChatGPT to cultivate supportive learning environments that enhance students' character development.

Optimizing energy efficiency in heterogeneous networks: An integrated stochastic geometry approach with novel sleep mode strategies and QoS framework.

The quest for energy efficiency (EE) in multi-tier Heterogeneous Networks (HetNets) is observed within the context of surging high-speed data demands and the rapid proliferation of wireless devices. The analysis of existing literature underscores the need for more comprehensive strategies to realize genuinely energy-efficient HetNets. This research work contributes significantly by employing a systematic methodology, utilizing This model facilitates the assessment of network performance by considering the spatial distribution of network elements.

An Interference-Managed Hybrid Clustering Algorithm to Improve System Throughput.

In the current smart era of 5G, cellular devices and mobile data have increased exponentially. The conventional network deployment and protocols do not fulfill the ever-increasing demand for mobile data traffic. Therefore, ultra-dense networks have widely been suggested in the recent literature.

Stability of local and imported NDV vaccine under different storage conditions.

The present study has been done to evaluate the efficacy of vaccine during manufacturing, storage and distribution under fluctuation of temperature as the vaccines are very susceptible to temperature. The results showed that New castle disease virus induce infections in developing embryos that lead to death of embryo with few exceptions. Further infection is more rapidly fatal when the inoculated embryos are young, when the quantity of virus introduce is large and when the required incubation temperature is above 37 degrees C.