With the advent of sixth generation (6G) Internet of Things (IoT), integrated terrestrial network (TN) and non-terrestrial network (NTN) will play a vital role in enabling new applications and services. However, realizing the potential of 6G integrated TN-NTN requires addressing key challenges like intelligent and optimized control mechanisms for resource management, interference cancellation, and

Satellite communication plays a crucial role in supplementing blind areas and enhancing ubiquitous coverage, to meet the ubiquitous connectivity demands of the future 6G Internet of Things (IoT). As a vital means for integrated space-ground and the intelligent interconnectivity of everything in the future 6G system, Direct-to-Smartphone technology has emerged as a global development hotspot and got

Compared to the content-centric “read”-based Web 1.0 and the “read-write”-based Web 2.0, Web 3.0 is based on the “read-write-own” paradigm, which is user-centric. Web 3.0 applications are deployed decentralized and transparently, which prevents malicious programs from being set up. Metaverse shares the same ultimate vision as Web 3.0, which aims to provide inclusive, secure, trustworthy, and privacy-preserving

In this paper, we present a comprehensive approach that leverages the capabilities of blockchain technology to protect private data in 6G UAV networks. We propose a dual-layer structure UAV swarm model based on blockchain, aiming to enhance the security during collaborative mission execution and data sharing between UAVs, and ensure data integrity through the decentralized ledger of blockchain security

The Scanning the Literature column offers succinct overviews of recently published papers in the networking field. Each summary highlights the paper’s primary concept, methodology, and technical contributions. This column aims to keep IEEE Network magazine readers informed about the latest advancements in networking research. Authors are encouraged to recommend their newly published work for inclusion

With the increasing Quality of Service (QoS) requirements of the Internet of Things (IoT), Mobile Edge Computing (MEC) has undoubtedly become a new paradigm for locating various resources in the proximity of User Equipment (UE) to alleviate the workload of backbone IoT networks. Deep Reinforcement Learning (DRL) has gained widespread popularity as a preferred methodology, primarily due to its capability

Since 2008, the Korean government has instituted network separation technology, which physically isolates external internet networks from internal networks, aiming to thwart cyber-attacks. Consequently, the domestic financial sector was largely unaffected during global crises (2017 WannaCry ransomware outbreak and the 2021 Log4j vulnerability incident). However, there exist certain vulnerabilities

As a fundamental technology of the Metaverse, blockchain enables numerous Metaverse applications. However, the blockchain consensus mechanism’s high energy consumption and performance bottlenecks have become an impediment to the green and sustainable development of the Metaverse. To tackle this challenge, we propose a lightweight consensus service framework that amplifies the throughput of the multi-chain

This research enhances IoT services in 6G non-terrestrial networks (NTNs) by effectively incorporating multicast massive MIMO technology. Based on the Multicast–Broadcast Services (MBS) framework from 3GPP Release 17, we have developed a tailored framework specifically designed for 6G IoT environments. Key features of this framework include a bespoke system architecture, state-of-the-art multicast

The upcoming sixth generation (6G) wireless communication network is envisioned to cover space, air, and maritime areas, in addition to urban-centered terrestrial coverage by the fifth generation (5G) network, to support intelligent Internet of Things (IoT). Towards this end, we investigate structured integration of satellites, unmanned aerial vehicles (UAVs), and terrestrial networks, aiming to serve

The requirement of wireless data demands is increasingly high as the sixth-generation (6G) technology evolves. Reconfigurable intelligent surface (RIS) is promisingly deemed to be one of 6G techniques for extending service coverage, reducing power consumption, and enhancing spectral efficiency. In this article, we have provided some fundamentals of RIS deployment in theory and hardware perspectives

The upcoming 6G Non-Terrestrial Networks (NTN) technology is expected to enable comprehensive connectivity of the Internet of Things (IoT) across various environments. The presence of a large number of IoT devices operating in diverse scenarios, along with the associated vast amounts of data, poses challenges in terms of security and privacy for the 6G NTN IoT networks. Therefore, blockchain technology

Recently, federated learning (FL) has been a hotspot for its capacity of data privacy protection and excellent performance under few-shot conditions for Internet of Things (IoT) services. Meanwhile, 6G non-terrestrial network (NTN) provides an effective and affordable option for enhancing IoT device connectivity. When FL meets NTN, various challenges and opportunities will emerge to promote technological

The Internet of Robots (IoR) is proficient in handling complex tasks in challenging environments, yet it encounters challenges related to service and scenario diversity, risk reduction, and ultra-low latency requirements. To address these challenges, we propose an integrated architecture that enhances the IoR’s adaptability, flexibility, robustness, and low latency. This is achieved through the introduction

Satellite networks (SNs) have emerged as a key enabler to provide global, ubiquitous and seamless Internet of Things (IoT) services in a flexible and affordable manner. Different from conventional delay-tolerant tasks, many intelligent IoT services are delay-sensitive, requiring scheduling methods to make fast decisions on dynamic computing and communication resource allocation. However, existing satellite

The integration of non-terrestrial networks (NTNs) in 6G enables seamless connectivity and unleashes the potential of stringent Internet of Things (IoT) services worldwide. Among these, safety-critical IoT aims to provide ubiquitous service along with comprehensive protection against diversified over-the-air threats, which requires high-security technology under the unique constraints of NTNs. As a

Rapidly deployable mobile networks are in demand to support connectivity in underserved areas and on occasions where the existing infrastructure becomes unavailable. Aerial platforms are ideal for delivering such networks benefitting from their flexibility and large coverage. However, compared with the terrestrial networks (TNs), the non-terrestrial networks (NTNs) have significantly different features

In order to provide voice services with full coverage and high disaster tolerance, satellite communication-based voice solutions utilizing private protocols were proposed, which however cannot be integrated with existing terrestrial voice solutions specified by the 3rd Generation Partnership Project. To overcome this issue, we propose two voice solutions by involving over-thetop (OTT) platform and

Sparse code multiple access (SCMA) is one of the competitive non-orthogonal multiple access techniques for the next generation multiple access systems. One of the main challenges is high computational complexity and the SCMA-aided codewords, that is, each terminal device maintains its local data and codewords, which provides no incentive for model updating to accommodate rapidly changing vehicle communication

The rapid development of the mobile Internet and 5G technology has made the Internet of Vehicles possible. Through V2X technology, mobile vehicles can exchange information with roadside units and cloud-side applications. A vehicle with networking capabilities is called an intelligent connected vehicle (ICV). The emergence of ICVs allows people to experience the enjoyability of intelligent driving and

Large language models (LLMs) have triggered tremendous success to empower our daily life by generative information. The personalization of LLMs could further contribute to their applications due to better alignment with human intents. Towards personalized generative services, a collaborative cloud-edge methodology is promising, as it facilitates the effective orchestration of heterogeneous distributed

With the development of wireless communication technologies, the space-air-ocean integrated unmanned surface vehicle (USV) networks are significantly promising to provide various intelligent services, e.g., marine resource exploration, disaster rescue, maritime monitoring, etc. However, owing to the node diversity, data vulnerability and resource limitation, the USV networks face a series of security

The future Metaverse has been proposed as a solution to various social problems, requiring new concepts. This evolution of the Metaverse will be geared toward solving real-world tasks by combining humans and machines in virtual and real spaces. This, in turn, necessitates the inclusion of additional human senses, including the tactile modality, to enable fully immersive human-machine and human-machine-human

With the continuous development of network devices, there are increasingly types and quantities of network devices. Accurate identification of device types helps proactively protect potentially vulnerable devices exposed on the Internet. Among the network device identification methods, the TCP/IP stack active detection method is an important kind since it does not require many open ports of target

With the advancements of high-resolution cameras, highly sensitive photodetectors, and energy-efficient light-emitting-diodes, optical wireless communication (OWC) has emerged as key-enabling technology for 6G. Similarly, digital twin (DT) technology has recently been proposed to meet the diverse requirements of emerging applications and provide efficient optimization of the overall system resources

As one of the promising technologies for 6G mobile system, the joint communication and sensing (JCS) technology can substantially empower communication network with the accurate environment perception ability, as well as enhanced communication performances enabled by the sensing ability. In this article, a communication-centric enabled JCS system has been designed, and the simulation platform has been

Robotics as a Service (RaaS) emerges as a new paradigm to motivate diversified potential of the “remote-controlled economy” for flexible and efficient service provision with the help of cloud computing. The multi-robot cooperation (MRC) technology has been widely used in various intelligent logistics scenarios, such as warehouses, factories, airports and subway stations, benefiting from the advantages

Bridging the gap between the Internet of Things and collaborative robots, the recent advancements in the Internet of Robotic Things (IoRT) aim at significantly improving production and operation efficiency and quality. As the scope and complexity of IoRT continue to expand, involving also very large numbers of robots, there is a need for employment of innovative solutions such as federated learning

Extreme crowding of electromagnetic spectrum in recent years has led to the challenges in designing sensing and communications systems. Both systems require a broad range of bandwidth, thus resulting in competing interests in exploiting the spectrum. Efficient spectrum and hardware utilization have led to the emergence of integrated sensing and communications (ISAC) systems, which have recently emerged

The Scanning the Literature column offers succinct overviews of recently published papers in the networking field. Each summary outlines the paper’s primary concept, methodology, and technical contributions. The column’s objective is to present the latest advancements in networking research to the readers of IEEE Network magazine. Authors are also encouraged to recommend their newly published work

Federated learning (FL) offers a promising solution for effectively leveraging the data scattered across the distributed cloud system. Despite its potential, the huge communication overhead greatly burdens the distributed cloud system. Federated distillation (FD) is a novel distributed learning technique with low communication cost, in which the clients communicate only the model logits rather than

Although data sharing and fusion between connected autonomous vehicles (CAVs) can effectively enhance environment awareness and improve driving safety, it has to face severe challenges of privacy disclosure. Outsourcing encrypted data to edge servers for data analysis and model learning can alleviate this issue without imposing additional computing load on CAVs. In this article, we propose a privacy-preserving

Combined with artificial intelligence (AI) technology, Space-Air-Ground Integrated Networks (SAGINs) play a crucial role in realizing the 6G vision of self-awareness, ubiquitous intelligence, and Internet of Everything (IoE). Compared with 5G, the 6G vision demands higher performance in key performance indexes (KPIs) such as peak data rate, user experience data rate, delay, coverage percentage, reliability

The electronic control unit (ECU) broadcasts and receives data through the on-vehicle bus, enabling the management of the vehicle’s operations and associated functions. Nevertheless, the plaintext broadcast mechanism of the bus exposes the data to potential security threats. Consequently, researchers have explored incorporating technologies like encryption to ensure secure data transmission among various

The Large Language Models (LLMs) are poised to offer efficient and intelligent services for future mobile communication networks, owing to their exceptional capabilities in language comprehension and generation. However, the extremely high data and computational resource requirements for the performance of LLMs compel developers to resort to outsourcing training or utilizing third-party data and computing

The Controller Area Network (CAN) is a bus protocol widely used in intelligent connected vehicles for communication between electronic and electronic systems. However, the continuous increase in inter- and intra-vehicle communication traffic makes the CAN bus vulnerable to cyber-attacks, including unknown attacks that have never been seen before. Previous studies either use closed set scenarios to

Pedestrian detection plays a crucial role in autonomous driving by identifying the position, size, orientation, and dynamic features of pedestrians in images or videos, assisting autonomous vehicles in making better decisions and controls. It’s worth noting that the performance of pedestrian detection models largely depends on the quality and diversity of available training data. Current datasets for

Mobile artificial intelligence-generated content (AIGC) refers to the adoption of generative artificial intelligence (GAI) algorithms deployed at mobile edge networks to automate the information creation process while fulfilling the requirements of end users. Mobile AIGC has recently attracted phenomenal attentions and can be a key enabling technology for an emerging application, called human digital