Globalization and technology are presently impacting every aspect of life, with digital technologies helping to set the trend. Human-centricity and the ethical use of technology are integral components of Society 5.0, which emphasizes quality of life, productivity, social responsibility, and sustainability. The purpose of this study was to develop a deeper understanding of how Higher Education 5.0 empowers the future workforce in the landscape of Society 5.0. A systematic literature review was conducted using 18 full-text research papers from the Scopus database. It shows that the number of studies in this area is limited. The results revealed the critical role of education in cultivating the digital skills necessary for upcoming professionals. In order to transition from higher education to the workplace, fresh graduates need academic and practical readiness to meet the demands of a future-ready workforce. The contribution of the future workforce will also be crucial in building a harmonious human-centric society that will use technology to improve the quality of life towards sustainable living as envisioned by the United Nations’ SDGs. Additionally, we identify the current gaps in the research on Education 5.0 in the landscape of Society 5.0 and subsequently provide recommendations for the future.

The rapid digitization of public services has positioned e-government as a cornerstone of modern governance, relying increasingly on advanced wireless and emerging technologies to support scalable, resilient, and data-driven operations. Despite extensive adoption efforts, a comprehensive investigation and systematic analysis of how emerging technologies collectively serve e-government across key domains remains limited. In particular, existing studies often address technologies in isolation, leaving gaps in understanding their integrated roles in smart cities, sustainability initiatives, cybersecurity frameworks, and evolving energy paradigms. This paper investigates the use of wireless and emerging technologies within e-government ecosystems and examines their employment and benefits across diverse public-sector applications. The study analyzes how these technologies contribute to service delivery, operational coordination, and policy execution, while critically discussing the technical, organizational, and regulatory challenges associated with their deployment. Furthermore, the impacts of these challenges on performance, security, and long-term viability are assessed and provided to guide researchers, system designers, and policymakers. By consolidating fragmented research and highlighting cross-domain interactions, this work offers a structured perspective on the role of wireless and emerging technologies in shaping the next generation of e-government systems.

The coronavirus (COVID-19) has emerged as one of the most serious issues. Scientists and administrators are thinking of employing a number of social distancing models to identify potentially infected people. Nevertheless, limited social distancing methods have been discovered for tracking, scheduling, and monitoring vehicles for smart buildings. In these methods, people are tested on a regular basis in testing facilities every few days. This suggests that there may be untested infected individuals exhibiting active symptoms. Furthermore, since pandemics comparable to COVID may exhibit a range of symptoms that fluctuate throughout the day. For this reason, each time a vehicle requests entry into the facility, a real-time test or check must be performed. This study proposes a real-time vehicle social distancing decision system for managing the number of vehicles (RT-VSDD) that adds an additional testing method besides the traditional testing phase (test reports from test centers) with a real-time vital health check at the building access request in order to reduce the risk of unidentified infected individuals. The concept of low-risk area and high-risk area in the building is introduced in this study where the method classifies the vehicles based on the risk levels and sends them to the targeted area. The system proposed in this study is identified as vehicle social distancing (VSD) system and is designed specifically for COVID pandemic. The performance evaluation of the proposed work has been performed using MATLAB simulations. 100 vehicles were assumed in the presented scenario with 5% untested, 20% positive, 75% negative, 30% high temperature, and 70% low temperature. When compared with the benchmark work, 40% of vehicles were classified as high risk and 55% were low risk by the proposed system, and 20% and 75% by the benchmark work. Only 5% of vehicles were denied access using the proposed system and 25% by the benchmark work. The total waiting vehicles rate was 25% and 11% in favour of the proposed work for a total waiting time of 100 minutes. The threshold value for the maximum vehicle allowed was reached 26 times by the proposed work against 13 times only by the benchmark work. 95% of vehicles were allowed access using the proposed technique, while only 75% were able to access the building using the benchmark technique. It is anticipated that the suggested system design will contribute to a decrease in the infection rate within buildings, reduces the negative economic impact, and manage the building access effectively for various industries and government sectors.

A new age of technological and application improvements is about to dawn with the expected debut of Sixth Generation (6G) mobile technology by 2030. This launch will be a watershed moment in the history of wireless communication. There will supposedly be three-dimensional coverage for all things, everywhere, and at all times with 6G's ultra-high data speeds and nearly instantaneous communications. The 6G Radio Access Network (RAN)'s fronthaul links the pool of digital units (DUs) with the geographically distributed Remote Units (RUs). However, optical technologies continue to play a fundamental role in enabling 6G fronthaul, since they provide high-speed, low-latency, and reliable transmission that are needed to fulfil the required standards of 6G. This study is reviewing the fifth generation (5G) and the 6G optical fronthaul, which is describing the current research progress and discusses the important of 6G fronthaul technologies and system designs, It also covers the possible uses of each optical technology and their advantages in 6G fronthaul networks and the impact of the Artificial Intelligent (AI) on them. In order to help researchers and industry experts build future wireless networks that are both strong and efficient, this study seeks to provide a thorough overview of 6G optical fronthaul technologies and explore the future research and their current role in the area.