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View article: BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization
BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization Open
Artificial intelligence (AI) is anticipated to emerge as a pivotal enabler for the forthcoming sixth-generation (6G) wireless communication systems. However, current research efforts regarding large AI models for wireless communications pr…
View article: Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey Open
The rapid advancement of communication technologies has driven the evolution of communication networks towards both high-dimensional resource utilization and multifunctional integration. This evolving complexity poses significant challenge…
View article: Joint Power Control and Precoding for Cell-Free Massive MIMO Systems With Sparse Multi-Dimensional Graph Neural Networks
Joint Power Control and Precoding for Cell-Free Massive MIMO Systems With Sparse Multi-Dimensional Graph Neural Networks Open
Cell-free massive multiple-input multiple-output (CF mMIMO) has emerged as a prominent candidate for future networks due to its ability to significantly enhance spectral efficiency by eliminating inter-cell interference. However, its pract…
View article: Vision Aided Channel Prediction for Vehicular Communications: A Case Study of Received Power Prediction Using RGB Images
Vision Aided Channel Prediction for Vehicular Communications: A Case Study of Received Power Prediction Using RGB Images Open
The communication scenarios and channel characteristics of 6G will be more complex and difficult to characterize. Conventional methods for channel prediction face challenges in achieving an optimal balance between accuracy, practicality, a…
View article: 6G-Enabled Smart Railways
6G-Enabled Smart Railways Open
Smart railways integrate advanced information technologies into railway operating systems to improve efficiency and reliability. Although the development of 5G has enhanced railway services, future smart railways require ultra-high speeds,…
View article: Energy-Efficient SIM-assisted Communications: How Many Layers Do We Need?
Energy-Efficient SIM-assisted Communications: How Many Layers Do We Need? Open
The stacked intelligent metasurface (SIM), comprising multiple layers of reconfigurable transmissive metasurfaces, is becoming an increasingly viable solution for future wireless communication systems. In this paper, we explore the integra…
View article: Uplink Assisted Joint Channel Estimation and CSI Feedback: An Approach Based on Deep Joint Source-Channel Coding
Uplink Assisted Joint Channel Estimation and CSI Feedback: An Approach Based on Deep Joint Source-Channel Coding Open
In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communication systems, the acquisition of downlink channel state information (CSI) is essential for maximizing spatial resource utilization and improving sys…
View article: Channel Estimation for Rydberg Atomic Receivers
Channel Estimation for Rydberg Atomic Receivers Open
The rapid development of the quantum technology presents huge opportunities for 6G communications. Leveraging the quantum properties of highly excited Rydberg atoms, Rydberg atom-based antennas present distinct advantages, such as high sen…
View article: Joint CSI Estimation-Feedback-Precoding via DJSCC for MU-MIMO OFDM Systems
Joint CSI Estimation-Feedback-Precoding via DJSCC for MU-MIMO OFDM Systems Open
As the number of antennas in frequency-division duplex (FDD) multiple-input multiple-output (MIMO) systems increases, acquiring channel state information (CSI) becomes increasingly challenging due to limited spectral resources and feedback…
View article: Channel Semantic Characterization for Integrated Sensing and Communication Scenarios: From Measurements to Modeling
Channel Semantic Characterization for Integrated Sensing and Communication Scenarios: From Measurements to Modeling Open
With the advancement of sixth-generation (6G) wireless communication systems, integrated sensing and communication (ISAC) is crucial for perceiving and interacting with the environment via electromagnetic propagation, termed channel semant…
View article: Joint Power Allocation and Phase Shift Design for Stacked Intelligent Metasurfaces-aided Cell-Free Massive MIMO Systems with MARL
Joint Power Allocation and Phase Shift Design for Stacked Intelligent Metasurfaces-aided Cell-Free Massive MIMO Systems with MARL Open
Cell-free (CF) massive multiple-input multiple-output (mMIMO) systems offer high spectral efficiency (SE) through multiple distributed access points (APs). However, the large number of antennas increases power consumption. We propose incor…
View article: Robust Multidimensional Graph Neural Networks for Signal Processing in Wireless Communications with Edge-Graph Information Bottleneck
Robust Multidimensional Graph Neural Networks for Signal Processing in Wireless Communications with Edge-Graph Information Bottleneck Open
Signal processing is crucial for satisfying the high data rate requirements of future sixth-generation (6G) wireless networks. However, the rapid growth of wireless networks has brought about massive data traffic, which hinders the applica…
View article: NOMANet: A Graph Neural Network Enabled Power Allocation Scheme for NOMA
NOMANet: A Graph Neural Network Enabled Power Allocation Scheme for NOMA Open
This paper proposes a graph neural network (GNN) enabled power allocation scheme for non-orthogonal multiple access (NOMA) networks. In particular, a downlink scenario with one base station serving multiple users over several subchannels i…
View article: Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach
Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Open
An emerging fluid antenna system (FAS) brings a new dimension, i.e., the antenna positions, to deal with the deep fading, but simultaneously introduces challenges related to the transmit design. This paper proposes an ``unsupervised learni…
View article: ICGNN: Graph Neural Network Enabled Scalable Beamforming for MISO Interference Channels
ICGNN: Graph Neural Network Enabled Scalable Beamforming for MISO Interference Channels Open
This paper investigates the graph neural network (GNN)-enabled beamforming design for interference channels. We propose a model termed interference channel GNN (ICGNN) to solve a quality-of-service constrained energy efficiency maximizatio…
View article: Measurement-Based Modeling and Analysis of UAV Air-Ground Channels at 1 and 4 GHz
Measurement-Based Modeling and Analysis of UAV Air-Ground Channels at 1 and 4 GHz Open
In the design of unmanned aerial vehicle (UAV) wireless communications, a better understanding of propagation characteristics and an accurate channel model are required. Measurements and comprehensive analysis for the UAV-based air-ground …
View article: ROMA: ROtary and Movable Antenna
ROMA: ROtary and Movable Antenna Open
The rotary and movable antenna (ROMA) architecture represents a next-generation multi-antenna technology that enables flexible adjustment of antenna position and array rotation angles of the transceiver. In this letter, we propose a ROMA-a…
View article: COST CA20120 INTERACT Framework of Artificial Intelligence-Based Channel Modeling
COST CA20120 INTERACT Framework of Artificial Intelligence-Based Channel Modeling Open
Accurate channel models are the prerequisite for communication-theoretic investigations as well as system design. Channel modeling generally relies on statistical and deterministic approaches. However, there are still significant limits fo…
View article: Cluster-Based Time-Variant Channel Characterization and Modeling for 5G-Railways
Cluster-Based Time-Variant Channel Characterization and Modeling for 5G-Railways Open
With the development of high-speed railways, 5G for Railways (5G-R) is gradually replacing Global System for the Mobile Communications for Railway (GSM-R) worldwide to meet increasing demands. The large bandwidth, array antennas, and non-s…
View article: Optimal Bilinear Equalizer Beamforming Design for Cell-Free Massive MIMO Networks with Arbitrary Channel Estimators
Optimal Bilinear Equalizer Beamforming Design for Cell-Free Massive MIMO Networks with Arbitrary Channel Estimators Open
This paper studies the distributed optimal bilinear equalizer (OBE) beamforming design for both the uplink and downlink cell-free massive multiple-input multiple-output networks. We consider arbitrary statistics-based channel estimators ov…
View article: Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks
Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks Open
The key technologies of sixth generation (6G), such as ultra-massive multiple-input multiple-output (MIMO), enable intricate interactions between antennas and wireless propagation environments. As a result, it becomes necessary to develop …
View article: GNN-Enabled Optimization of Placement and Transmission Design for UAV Communications
GNN-Enabled Optimization of Placement and Transmission Design for UAV Communications Open
This paper applies graph neural networks (GNN) in UAV communications to optimize the placement and transmission design. We consider a multiple-user multiple-input-single-output UAV communication system where a UAV intends to find a placeme…
View article: Asynchronous Random Access in Massive MIMO Systems Facilitated by the Delay-Angle Domain
Asynchronous Random Access in Massive MIMO Systems Facilitated by the Delay-Angle Domain Open
The problem of uplink transmissions in massive connectivity is commonly dealt with using schemes for grant-free random access. When a large number of devices transmit almost synchronously, the receiver may not be able to resolve the collis…
View article: Performance Analysis of XL-MIMO with Rotary and Movable Antennas for High-speed Railway
Performance Analysis of XL-MIMO with Rotary and Movable Antennas for High-speed Railway Open
The rotary and movable antennas (ROMA) technology is efficient in enhancing wireless network capacity by adjusting both the antenna spacing and three-dimensional (3D) rotation of antenna surfaces, based on the spatial distribution of users…
View article: Mobile Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning: A Scalable Framework
Mobile Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning: A Scalable Framework Open
Cell-free massive multiple-input multiple-output (mMIMO) offers significant advantages in mobility scenarios, mainly due to the elimination of cell boundaries and strong macro diversity. In this paper, we examine the downlink performance o…
View article: Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems
Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems Open
Extremely large-scale multiple-input multiple-output (XL-MIMO) is gaining attention as a prominent technology for enabling the sixth-generation (6G) wireless networks. However, the vast antenna array and the huge bandwidth introduce a non-…
View article: Learning Rate-Compatible Linear Block Codes: An Auto-Encoder Based Approach
Learning Rate-Compatible Linear Block Codes: An Auto-Encoder Based Approach Open
Artificial intelligence (AI) provides an alternative way to design channel coding with affordable complexity. However, most existing studies can only learn codes for a given size and rate, typically defined by a fixed network architecture …
View article: Joint Precoding and AP Selection for Energy Efficient RIS-aided Cell-Free Massive MIMO Using Multi-agent Reinforcement Learning
Joint Precoding and AP Selection for Energy Efficient RIS-aided Cell-Free Massive MIMO Using Multi-agent Reinforcement Learning Open
Cell-free (CF) massive multiple-input multiple-output (mMIMO) and reconfigurable intelligent surface (RIS) are two advanced transceiver technologies for realizing future sixth-generation (6G) networks. In this paper, we investigate the joi…