Jul 2026· Applied and Computational Engineering· 0 citations
TL;DR
A literature review approach is employed to synthesize domestic and international research findings on 6G, focusing on its key enabling technologies, typical application scenarios, and development bottlenecks, revealing that technologies including terahertz communication, reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), and space-air-ground-sea integrated networking serve as the core pillars of 6G.
Abstract
The iterative evolution of mobile communication technology serves as a core driver of the digital economy's growth. With 5G having achieved large-scale global commercialization, research into 6G—aimed at meeting the demands of the "Internet of Intelligent Things" and ubiquitous connectivity—is now fully underway worldwide. This paper employs a literature review approach to synthesize domestic and international research findings on 6G, focusing on its key enabling technologies, typical application scenarios, and development bottlenecks. The study reveals that technologies including terahertz communication, reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), and space-air-ground-sea integrated networking serve as the core pillars of 6G. 6G is poised for deep integration into scenarios like intelligent immersive communication and the Industrial Internet, while hardware development, algorithm optimization, and the unification of standards remain primary challenges. Future work needs to coordinate progress in core technological breakthroughs, standardization and engineering deployment to achieve high-performance and ubiquitous intelligent connectivity.
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
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.
E. M. Tanuja, Basavaraj S. Pol· International Journal of Res...· 0 citations
— The evolution of sixth-generation (6G) mobile communication systems introduces new challenges for signal processing technologies. The incorporation of emerging techniques such as ultra-massive multiple-input multiple-output (MIMO), reconfigurable intelligent surfaces (RIS), and integrated sensing and communications (ISAC) necessitates a paradigm shift in signal processing from conventional optimization methods toward intelligent approaches. This paper presents a comparative analysis of key technologies in intelligent signal processing for 6G based on a literature survey. Focusing on three core enabling technologies, the study compares traditional optimization-based methods with artificial intelligence (AI)-driven approaches in terms of their performance characteristics and application boundaries in tasks including channel estimation, beamforming, and signal detection. The findings indicate that AI-based methods offer superior performance and lower computational latency in complex scenarios, yet they continue to face challenges related to interpretability, generalization, and standardization. Model-driven deep unfolding, graph neural networks, and generative AI represent important directions for the future development of intelligent signal processing. This paper aims to provide a reference framework for theoretical research and system design in intelligent signal processing for 6G.
Chen-Song Zhang· International journal of eng...· 0 citations
The rapid advancement of sixth-generation (6G) networks is accelerating the convergence of media intelligence and communication intelligence, driving media communication beyond conventional bit-level delivery toward intelligent, semantic-aware, and generative paradigms. Emerging media services require not only high data rates and low latency, but also semantic awareness, perceptual quality assurance, adaptive resource orchestration, trustworthy content processing, and personalized media generation. Meanwhile, media technologies are evolving from handcrafted signal processing and conventional coding toward artificial intelligence (AI)-driven representation learning, content understanding, and generative reconstruction. Motivated by these trends, this paper presents a systematic survey of media communication technologies for 6G vision communication by revisiting the evolution of communication and media technologies and clarifying the intrinsic relationship between media content processing and wireless transmission. We introduce a unified framework consisting of four key dimensions: AI-driven media technologies, media-aware wireless transmission, large model-enabled media communication, and intelligent network infrastructures. Specifically, AI-driven media technologies encompass media coding, content understanding, quality assessment, security and compliance detection, and AIGC-enabled media generation, while media-aware wireless transmission is examined from three complementary perspectives: semantic joint source-channel optimization, which jointly encodes task-relevant semantic information; source-aware transmission optimization, which leverages media characteristics for channel adaptation, prediction, and compensation; and channel-aware source optimization, which adapts media coding and reconstruction based on real-time channel conditions.
Bingyan Xie, Longyu Zhou, Zihan Chen et al.· 0 citations
In response to the fast-paced development of information technologies in Saudi Arabia, there is a high need for high-speed and future-proof wireless communication infrastructure. This paper considers potential approaches for deploying 5G bands capable of meeting national requirements in terms of connecting smart cities, implementing industry automation, supporting Internet of Things solutions, and preparing for 6G development according to the vision of Saudi Arabia 2030. The use of low-band, medium-band, and high-band frequency ranges in the millimeter wavelength spectrum for ensuring efficient coverage and adequate capacity is the focus of this report. The significance of spectrum management, radio access network optimization, small cell dense placement, fiber backhaul, network slicing, massive MIMO, carrier aggregation, and energy-efficient deployment of 5G infrastructure would be discussed in detail. Some of the key challenges of implementing 5G include problems of propagation loss, site acquisition, interferences, indoor coverage, efficiency, and regulation. Thus, an effective approach to planning of wireless networks requires careful assessment of the current telecommunications market, existing problems, and future demands for digital infrastructure.
The exponential growth of the Internet of Things (IoT) applications is revealing critical limitations in current fifth generation networks (5G), especially with respect to scalability, latency, energy efficiency and intelligent resource management. These concerns make sixth-generation (6G) communication systems a near-future solution to facilitate intelligent, autonomous, and sustainable IoT ecosystems by amalgamating artificial intelligence (AI), terahertz (THz) communication, edge intelligence, semantic communication, and ultra-reliable low-latency communication (URLLC). But the research environment regarding 6G enabled IoT is still fragmented with the non-existence of a common analytical framework. In this paper, we present a structured survey and taxonomy based analytical framework for the 6G enabled IoT ecosystem. It classifies the recent works into enabling technologies, intelligent architectures, emerging applications, deployment challenges and future research directions. The requisite advancements in technologies needed for future IoT infrastructures are also highlighted through a comparison of 5G and 6G capabilities. 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. However, issues concerning cybersecurity, interoperability, sustainability, spectrum management and infrastructure cost still remain. This study is expected to enable the development of secure, scalable, intelligent and sustainable next-generation IoT systems based on collaborative edge computing.
Md Asaduzaman, Ferdous Hossain, T. K. Geok· International Journal of Ele...· 0 citations
