Aug 2026· International Journal of Research in Engineering, Science and Management· Vol 9, pp. 18-25· 0 citations
TL;DR
The study concludes that although 5G provides the technological foundation for next-generation digital transformation, continued research is required to improve network security, intelligent resource allocation, sustainable deployment, and integration with future sixth-generation (6G) communication systems.
Abstract
The evolution of wireless communication has significantly transformed the way information is generated, transmitted, and processed across various sectors. As the demand for high-speed, low-latency, and highly reliable communication continues to increase, Fifth Generation (5G) wireless technology has emerged as a key enabler of the future information era. Unlike previous generations of mobile communication, 5G offers enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication, enabling seamless connectivity among billions of interconnected devices. These capabilities support the rapid growth of emerging technologies, including the Internet of Things (IoT) and Artificial Intelligence (AI) cloud computing, edge computing, autonomous transportation, Industry 4.0, smart healthcare, and smart city infrastructures. Despite its numerous Despite these benefits, several challenges persist, including the high costs associated with implementation, cybersecurity threats, spectrum scarcity, interoperability issues, energy consumption, and privacy concerns. This paper presents a comprehensive review of 5G technology and its applications in the future information era. It discusses the architecture of 5G networks, analyzes major application domains, examines current technical and economic challenges, identifies existing research gaps, and explores future research directions. The study concludes that although 5G provides the technological foundation for next-generation digital transformation, continued research is required to improve network security, intelligent resource allocation, sustainable deployment, and integration with future sixth-generation (6G) communication systems.
The results of the analysis indicate that 6G can contribute to a substantial improvement of IoT performance in smart cities, healthcare, industrial automation and control applications (manufacturing science), autonomous transportation and precision agriculture.
Md Asaduzaman, Ferdous Hossain, T. Geok· International Journal of Ele...· 0 citations
A comprehensive review of edge computing as a modern trend in information technology, including the convergence of edge computing with artificial intelligence (Edge AI), 6G networks, digital twins, and serverless edge architectures is presented.
Awiti Gideon Appiah, Dr. Lazarus Kwao, Benjamin Opoku Atuahene· International Journal of Cre...· 0 citations
An intelligent Metaverse communication infrastructure that integrates 6G wireless networks, Multi-access Edge Computing, Software-Defined Networking (SDN), Network Function Virtualization (NFV), AI-driven resource management, and blockchain-enabled security to optimize communication performance in immersive environments is presented.
Sheelam Abhiram, N. Vishnuvardhan, P. K. Reddy· International Journal of Sci...· 0 citations
The Internet of Things (IoT) and artificial intelligence have advanced quickly, and with shifting consumer behaviors, the smart home has become the most promising field of IoT application. Rapid growth, however, has exposed persistent weaknesses in interoperability, security, and reliability that slow adoption. This paper analyses the deployment of smart home IoT and the obstacles it faces. The paper first clarifies the concept of the smart home and its underlying IoT infrastructure, then reviews the industry's evolution, and finally assesses the domestic market from four angles: overall scale, penetration rate, major platforms and ecosystems, and typical application scenarios. It then identifies five recurring problems—limited interoperability and ecosystem fragmentation, security and privacy hazards, conflicting automation logic and unreliable operation, a weak user experience, and high cost and energy use alongside lagging standards—and proposes strategies built around unified standards, security-oriented design, conflict detection and mitigation, edge computing with AI, and aging-friendly design. Methodologically, the study combines literature review, case analysis, and industry statistics. It concludes that China's smart home market, though large and fast-growing, remains in a growth phase, and that its tensions are best resolved through stronger standards, a security-first stance, and a systems perspective. Finally, since closed commercial ecosystems provide no usable means of detecting rule conflicts, the study put forward a black-box, log-driven approach to conflict identification and severity assessment that requires neither platform source code nor proprietary interfaces. Unlike techniques that depend on open APIs or runtime instrumentation, it can inform risk governance in multi-brand smart homes and the drafting of technical standards.
Hao-Xiang Shi· Applied and Computational En...· 0 citations
This survey formally categorizes state-of-the-art DTN architectures into passive monitoring twins and active control twins, and provides an in-depth evaluation of their underlying enabling technologies, specifically ray-tracing, reconfigurable intelligent surfaces, artificial intelligence, and mobile edge computing.
Charalampos Oikonomidis, E. T. Michailidis, N. Miridakis· 0 citations
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