Advanced Wireless Communication Technologies

Últimos artículos

• A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks

  Pujitha Mamillapalli, Pankaj Singh Rathour, Abhinav Kumar · 1 de octubre de 2026

  Reconfigurable Intelligent Surfaces (RIS) are emerging as a key technology for programmable wireless environments in the beyond the fifth generation (B5G) networks. However, data-driven RIS research remains bottleneck by the lack of standardized, high-fidelity and open-source datasets. In this paper…

• A Particle-Swarm-Assisted Gradient Meta-Learning Algorithm for Joint Transmit Precoding and STAR-RIS Coefficient Optimization

  Kang Zhou · 25 de septiembre de 2026

  This paper investigates the joint optimization of the transmit precoder and the transmission/reflection coefficients of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) to maximize the weighted sum rate (WSR) in a multi-user downlink. We propose a particle-s…

• Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks

  Remon Polus, Deemah Tashman, Soumaya Cherkaoui · 23 de septiembre de 2026

  Massive connectivity in next-generation networks demands energy- and spectrum-efficient solutions for large-scale Internet of Things (IoT) deployments. Symbiotic radio (SR) enables passive IoT devices to communicate by backscattering existing cellular transmissions. A key challenge in uplink SR is a…

• From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity

  Yu Ma, Zhen Gao, Li Qiao, Xiaoyuan Zhang, Mahdi Boloursaz Mashhadi, Yin Xu, Wenjun Xu, Xiaodong Xu, Kaibin Huang, Jiangzhou Wang, Rahim Tafazolli, Sheng Chen, Tony Q. S. Quek, Ping Zhang · 15 de septiembre de 2026

  The ambitious requirements of sixth-generation (6G) networks are driving communication systems from reliable bit delivery toward meaning-aware and task-oriented connectivity. Large models (LMs), with strong multimodal understanding and generation capabilities, have accelerated this shift and made se…

• Decision Transformer for UAV-Mounted RIS-Assisted Dynamic D2D Communications

  Yaxuan Liu · 10 de septiembre de 2026

  This paper studies unmanned aerial vehicle (UAV)-mouted reconfigurable intelligent surface (RIS)-assisted device-to-device (D2D) communication with stochastic link activation. It models UAV motion and attitude, time-varying Rician angles, and angle-dependent RIS reflection. A joint optimization of U…

• Low-Altitude Fluid Antenna Network with Multi-Agent Reinforcement Learning

  Tong Zhang, Yanfei Su, Shuai Wang, Wanli Ni, Chengzhong Xu, Huseyin Arslan · 31 de agosto de 2026

  Low-altitude wireless networks (LAWNs) integrate terrestrial and aerial platforms to provide ubiquitous communication, sensing, and localization services for unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft. However, dynamic air-ground and air-air channels, …

• When Agentic AI Meets Integrated Sensing and Communication

  Kai Li, Conggai Li, Sarah Ali Siddiqui, Syed Sohail Ahmed, Xin Yuan, Shenghong Li, Wei Ni · 7 de agosto de 2026

  Agentic artificial intelligence (AI) is transforming Integrated Sensing and Communication (ISAC) from a function-oriented physical-layer technology into a goal-driven, closed-loop intelligent system, a paradigm we term AISAC. Existing work on learning-based sensing, resource allocation, reconfigurab…

• Hybrid-Field Sparse Channel Representation and Recovery for XL-RIS-Assisted mmWave MIMO Systems

  Wenkai Liu, Nan Ma, Jianqiao Chen, Hongtao Zhang, Ping Zhang · 4 de agosto de 2026

  Extremely large-scale reconfigurable intelligent surface (XL-RIS)-assisted communication is regarded as a key enabling technology for future 6G networks. However, hybrid-field channel estimation for XL-RIS-assisted systems is challenging due to the high-dimensional cascaded channel and the coexisten…

• Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning

  Liwei Wang, Wen Chen, Jun Li, Qingqing Wu, Ming Ding, Xusheng Zhu, Qiong Wu · 23 de julio de 2026

  Federated learning (FL) over wireless networks suffers from significant training latency and degraded convergence due to unreliable wireless transmission, especially under blocked propagation environments. Although reconfigurable intelligent surfaces (RISs) can improve communication reliability, exi…

• Beyond-Diagonal RIS Under Non-Idealities: Learning-Based Architecture Discovery and Optimization

  Binggui Zhou, Bruno Clerckx · 22 de julio de 2026

  Beyond-diagonal reconfigurable intelligent surface (BD-RIS) has recently been introduced to enable advanced control over electromagnetic waves to further increase the benefits of traditional RIS in enhancing signal quality and improving spectral and energy efficiency for next-generation wireless net…

• Active Beyond-Diagonal RIS Empowered Heterogeneous Edge Computing: A Distributional Reinforcement Learning Approach

  Tianyu Pang, Hongyu Li · 16 de julio de 2026

  Active beyond-diagonal reconfigurable intelligent surfaces (BD-RISs) enables hybrid transmitting and reflecting mode to achieve effective signal amplification and full-space coverage, thus providing a promising solution for blockage-aware uplink offloading in heterogeneous mobile edge computing (MEC…

• Physics-Aware Conditional SetGAN for Spatially Consistent Multi-User TR 38.901 Channel Generation

  Mauro Gonzalo Tarazona-Levano, David Lopez-Perez, Nicola Piovesan, David Gomez-Barquero · 14 de julio de 2026

  TR 38.901-based channel models such as Sionna are reliable, but generating many multi-user channel realizations remains expensive. This paper asks a practical question: can a trained generative model produce multi-user TR 38.901 channels faster than Sionna without losing the spatial correlations imp…

• JEPA for AI-Native 6G: Predictive Representations and Open Challenges

  Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla, Yan Kyaw Tun, Mustafa Ozger, Madyan Alsenwi, Nguyen Van Huynh, Woong-Hee Lee, Cedomir Stefanovic, Mathini Sellathurai, Henk Wymeersch, Tharmalingam Ratnarajah · 14 de julio de 2026

  Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition requires learning from limited labels, heterogeneous wireless and network data, partial observations, non-stationary propag…

• Large Multimodal Model-Based Environment-Aware Mobility Management

  Seokhyun Jeong, Sangmok Shin, Seungnyun Kim, Jiao Wu, Byonghyo Shim · 14 de julio de 2026

  Recently, large language models (LLMs) have been successfully adopted in various fields, including wireless communications, robotics, and autonomous vehicles, owing to their outstanding adaptability and reasoning abilities. Despite their huge potential, the application of LLMs for mobility managemen…

• Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach

  George Stamatelis, Hui Chen, Henk Henk Wymeersch, George C. Alexandropoulos · 2 de julio de 2026

  This paper studies energy efficient tracking of power-limited mobile users with the assistance of a Reconfigurable Intelligent Surface (RIS). Since localization pilot transmissions dominate the energy budget of power-constrained devices, we introduce a low-overhead feedback link from the Base Statio…

• RIS-Assisted Proactive Handover for Reliable mmWave Wireless Networks

  Alaa Adnan, Mohammad Al-Quraan, Ahmed Zoha, M. Majid Butt, Sami Muhaidat, Muhammad Ali Imran, Marco Di Renzo, Lina Mohjazi · 26 de junio de 2026

  Millimeter-wave (mmWave) networks are highly susceptible to line-of-sight (LoS) blockages. Vision-aided wireless communications (VAWC) enable proactive handovers (PHO) to mitigate such blockages; however, PHO becomes challenging when no nearby base station (BS) is available. In such cases, reconfigu…

• Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges

  Junaid Sajid, Sheikh Salman Hassan, Wenshuai Liu, Yan Kyaw Tun, Yaru Fu, Nguyen H. Tran, Zhu Han, Cedomir Stefanovic, Tharmalingam Ratnarajah, Muhammad Mahtab Alam · 23 de junio de 2026

  Embodied artificial intelligence (AI) is emerging as a key driver of the sixth-generation (6G) wireless networks by enabling agents that continuously perceive, communicate, and act in dynamic physical environments. Unlike conventional AI systems that process disembodied data, embodied agents such as…

• MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics

  Ahmet Gunhan Aydin, Elif Tugce Ceran · 11 de junio de 2026

  Realizing the vision of 6G connected robotics requires reconciling high-performance collaborative control with the rigid spectral limitations of physical wireless channels. In realistic collaborative sensing scenarios, spectral resources are quantized into finite physical resource blocks or orthogon…

• Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations

  Vladislav Trifonov, Ekaterina Muravleva, Ivan Oseledets · 26 de mayo de 2026

  Graph Neural Networks (GNNs) have been proposed as a tool for learning sparse matrix preconditioners, which are key components in accelerating linear solvers. We present theoretical and empirical evidence that message-passing GNNs are fundamentally incapable of approximating sparse triangular factor…

• 6G Communication Networks Enabling Embodied Agents: Architecture and Prototype

  Lipeng Dai, Luping Xiang, Kun Yang · 25 de mayo de 2026

  Embodied agents, which couple intelligent decision-making with physical actuation in the real world, impose far more stringent and heterogeneous communication requirements than purely software-based agents. While 6G promises sub-millisecond latency, ultra-high reliability, native intelligence, and i…

• Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G

  Liang Wu, Kelly Wan, Mayank Darbari, Liangjie Hong · 21 de mayo de 2026

  The proliferation of emerging applications, such as autonomous driving and immersive experiences, demands cellular networks that are not only faster, but fundamentally more resilient and autonomous. This paper presents a BlueSky vision on how Artificial Intelligence will be natively integrated into …

• Operator-Controlled 6G: From Connectivity Infrastructure to Guaranteed Digital Services

  David Soldani · 18 de mayo de 2026

  Sixth-generation mobile networks (6G) are approaching a structural inflection point. Five generations of vendor-led architectures have left operators procuring and operating networks they do not own, on platforms they cannot modify, with AI layers they cannot audit. This paper argues that 6G must re…

• How Big Should a Wireless Foundation Model Be?

  Wei-Lun Cheng, Wanjiun Liao · 11 de mayo de 2026

  Wireless foundation models are rapidly emerging as a key enabler of AI-native communication systems, yet a fundamental question remains unanswered: how large should these models be? We present a principled, physics-grounded answer, showing that the intrinsic dimensionality (dNL, the nonlinear manifo…

• 6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence

  Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah · 6 de mayo de 2026

  Sixth-generation (6G) networks are increasingly envisioned as AI-native infrastructures integrating communication, sensing, and computing into a unified fabric. However, existing approaches remain largely optimization-centric, relying on closed-loop control with limited reasoning capability. In this…

• Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach

  Changpeng He, Yang Lu, Wei Chen, Bo Ai, Arumugam Nallanathan, Zhiguo Ding · 6 de mayo de 2026

  This paper investigates coordinated downlink transmission in a multi-base station (multi-BS) multi-reconfigurable intelligent surface (multi-RIS)-assisted pinching-antenna (PA) system, where each user equipment (UE) is associated with a single BS and each BS is equipped with movable PAs deployed on …