Recent Articles

Open access

ISSN: 2352-8648
CN: 50-1212/TN
p-ISSN: 2468-5925

Large language model empowered next-generation MIMO networks: fundamentals, challenges, and visions

Next-generation Multiple-Input Multiple-Output (MIMO) is expected to be intelligent and scalable. In this paper, we study Large Language Model (LLM)-enabled next-generation MIMO networks. Firstly, we...

Characterization and optimization of satellite complex networks based on hyperbolic space

In recent years, the rapid advancement of mega-constellations in Low Earth Orbit (LEO) has led to the emergence of satellite communication networks characterized by a complex interplay between high-...

Cross-domain resources optimization for hybrid edge computing networks: Federated DRL approach

Due to the dynamic nature of service requests and the uneven distribution of services in the Internet of Vehicles (IoV), Multi-access Edge Computing (MEC) networks with pre-installed servers are often...

Radio map estimation using a CycleGAN-based learning framework for 6G wireless communication

As the 6G era approaches, wireless communication faces challenges such as massive user numbers, high mobility, and spectrum resource sharing. Radio maps are crucial for network design, optimization,...

Shard-DAG: A scalable and secure block-DAG sharding scheme for AI-driven 6G networks

The ultra-high speed, ultra-low latency, and massive connectivity of the 6th Generation Mobile Network (6G) present unprecedented challenges to network security. In addition, the deep integration of...

DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks

The advent of 6G networks is poised to drive a new era of intelligent, privacy-preserving distributed learning by leveraging advanced communication and AI-driven edge intelligence. Federated Learning...

Secure monitoring of Internet of vehicles in 6G networks through intelligent reflecting surfaces leveraging AI

The ensemble of Information and Communication Technology (ICT) and Artificial Intelligence (AI) has catalysed many developments and innovations in the automotive industry. 6G networks emerge as a promising...

Enabling intent-driven CoX mechanism in space-terrestrial network for multiple mission impossible

The Space-Terrestrial Network (STN) aims to deliver comprehensive on-demand network services, addressing the broad and varied needs of Internet of Things (IoT) applications. However, the STN faces new...

Pre-filters design for weighted sum rate maximization in multiuser time reversal downlink systems

In high-speed multiuser Time Reversal (TR) downlink systems, the transmission rate is degraded due to the presence of severe inter-user and inter-symbol interference. Moreover, maximizing the weighted...

Swarm learning anomaly detection framework for cloud data center using multi-channel BiWGAN-GTN and CEEMDAN

Anomaly detection is an important task for maintaining the performance of cloud data center. Traditional anomaly detection primarily examines individual Virtual Machine (VM) behavior, neglecting the...

F-norm based low-power motion recognition on wearable devices in the presence of outlier motions

Motion recognition refers to the intelligent recognition of human motion using data collected from wearable sensors, which exceedingly has gained significant interest from both academic and industrial...

VSSTPM: Verifiable simulation-secure threshold public key encryption scheme from standard module-LWE for IoT gateway-based applications

The Internet of Things (IoT) has become an integral part of daily life, making the protection of user privacy increasingly important. In gateway-based IoT systems, user data is transmitted through gateways...

Cybertwin driven resource allocation using optimized proximal policy based federated learning in 6G enabled edge environment

Sixth-generation (6G) communication system promises unprecedented data density and transformative applications over different industries. However, managing heterogeneous data with different distributions...

Balancing sustainability and security: A review of 5G and IoT in smart cities

This century's rapid urbanization has disrupted urban governance, sustainability, and resource management. The Internet of Things (IoT) and 5G have the potential to transform smart cities through real-time...

Deep reinforcement learning-based forwarding node selection algorithm in Internet of vehicles

Due to open communication environment, Internet of Vehicles (IoV) are vulnerable to many attacks, including the gray hole attack, which can disrupt the process of transmitting messages. And this results...

Autonomous network management for 6G communication: A comprehensive survey

The rapid advancement of 6G communication networks presents both considerable problems and opportunities in network management, necessitating sophisticated solutions that extend beyond conventional...

Artificial intelligence enhanced edge server placement for workload balancing and energy efficiency in B5G networks

The Internet of Things (IoT) and allied applications have made real-time responsiveness for massive devices over the Internet essential. Cloud-edge/fog ensembles handle such applications' computations....

Resource allocation for AI-native healthcare systems in 6G dense networks using deep reinforcement learning

Although 6G networks combined with artificial intelligence present revolutionary prospects for healthcare delivery, resource management in dense medical device networks stays a basic issue. Reliable...

Towards parallel Metaverse: Symbiosis of physical and virtual worlds based on Cybertwin-enabled 6G

Metaverse, envisioned as the next evolution of the Internet, is expected to evolve into an innovative medium advancing information civilization. Its core characteristics, including ubiquity, seamlessness,...

Large models based high-fidelity voice services over 6G narrowband non-terrestrial networks

Non-Terrestrial Networks (NTN) can be used to provide emergency voice services in Sixth-Generation (6G) communication systems. However, Internet of Things (IoT) terminals, which comprise restricted...

Video distribution strategy based on software defined network at the wireless edge

Video distribution strategies in wireless edge networks can significantly reduce video transmission latency and system energy consumption, meeting emerging video services' high-rate, low-latency requirements....

Networked control with guaranteed performance for IoT rehabilitation robot under nonvanishing uncertainties and input quantization

The Internet of Things (IoT) technology provides data acquisition, transmission, and analysis to control rehabilitation robots, encompassing sensor data from the robots as well as lidar signals for...

Reconfigurable intelligent surface-aided dual-function radar and communication systems with MU-MIMO communication

In this paper, we investigate an reconfigurable intelligent surface-aided Integrated Sensing And Communication (ISAC) system. Our objective is to maximize the achievable sum rate of the multi-antenna...

An efficient downlink resource allocation scheme in power-limited GEO satellite systems

The integration of Geostationary Earth Orbit (GEO) satellite constellations into Sixth Generation (6G) framework for cellular networks is essential to achieve global connectivity. Despite the major...

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission...

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