IEEE Transactions on Communications

In an (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n, k, d</i>) rack-aware storage model, the system consists of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> nodes uniformly distributed across <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xl…

This paper investigates joint channel and symbol estimation in a multiple user uplink multiple-input multiple-output (MIMO) system assisted by several reconfigurable intelligent surfaces (RISs). With Khatri–Rao space–time (KRST) coding at the users, A PARATUCK2-based tensor framework is developed. To tackle the challenges of multi-RIS deployment, an adaptive accelerated fitting for PARATUCK2-base…

A unified beamforming and channel estimation framework relying on Bayesian learning is conceived. Recognizing the limitations imposed by low-resolution analog-to-digital converter (ADCs) and frequency-dependent propagation effects occurring in the Terahertz (THz) band, we formulate a dual-wideband channel model incorporating root raised cosine (RRC) pulse shaping. To address the non-linear distor…

With the rapid development of deep learning in wireless communication for signal detection, target recognition, and parameter estimation, the vulnerability of models to adversarial examples poses a critical challenge to system robustness and security. Existing adversarial attacks mainly focus on single-task models, limiting their applicability in multi-task scenarios. To address this issue, we pr…

This paper explores the application of Temporal Fusion Transformers (TFTs) to target recognition and multi-horizon tracking, with a particular emphasis on enhancing Direction of Arrival (DoA) estimation in complex signal environments. By leveraging the advanced temporal modeling capabilities and dynamic feature selection mechanisms inherent to the TFT architecture, we adapt and optimize the model…

Modern wireless systems are expected to support both communication and sensing, forming the foundation of Integrated Sensing and Communication (ISAC). Although many approaches have been proposed, practical and efficient solutions remain an open challenge. This work addresses this issue by constraining transmitted MIMO radar waveforms to finite-alphabet signals, which are better suited for power a…

Platoon-based Vehicle-to-Everything (V2X) is a promising communication paradigm for intelligent vehicular networks. In such networks, each platoon leader (PL) engages in a high-throughput vehicle-to-infrastructure (V2I) link to deliver entertainment data, while maintaining low-latency and high-reliability vehicle-to-vehicle (V2V) links with multiple platoon members (PMs) to convey safety-critical…

Low Earth Orbit (LEO) satellite communication presents a promising solution for data backhaul from oceanic buoys. However, due to the power-limited buoys and large path loss between the buoy and LEO satellites, the received signal at the LEO satellites is critically weak, which poses severe challenges to both signal detection and localization of the buoys. To make things worse, the high mobility …

Unmanned aerial vehicles (UAVs) have been applied to various tasks in the low-altitude economy (LAE) with the advantages of high mobility, low costs, and flexible deployment. However, due to the broadcast nature of wireless channels and the increasing number of UAVs, the security of UAV control information and the spectrum resource utilization face significant challenges and threats. Therefore, i…

In large-scale distributed matrix-vector multiplications, e.g., for generative AI, straggling nodes can slow down or even jeopardize the whole operation. Coded distributed computing (CDC) uses erasure codes to create redundant computations and combat stragglers. This requires encoding very large matrices. Moreover, encoding must be repeated whenever system parameters (e.g., weight matrices in AI …

To efficiently implement Terahertz (THz) communications in the 6G era, ultra-massive multiple-input multiple-output (UM-MIMO) technique is considered essential. However, effective wideband THz UM-MIMO transmissions necessitate low-cost yet accurate channel estimation (CE) methods. In this article, we investigate the wideband THz UM-MIMO CE problem under hybrid near- and far-field propagation, mol…

Communication systems operating in mixed white Gaussian and impulsive noise (IN) environments suffer from severe performance degradation, rendering conventional constellations suboptimal. In this paper, we propose a joint geometric and probabilistic shaping scheme designed to maximize the cutoff rate (CR) under such mixed noise conditions. Instead of relying on loose approximations, we derive rig…

This paper investigates distributed link selection (LS) for a multi-hop buffer-aided relay network consisting of one source, one destination, and multiple relays, where each node has access only to local instantaneous channel state information (CSI) and the buffer status of its adjacent nodes. In particular, by improving the alternate-transmission strategy, we propose a novel flexible distributed…

Visible Light Communication (VLC) benefit from array reception, which improve the receiver sensitivity, extend the transmission distance, and enhance the link reliability in mobile applications. In this paper, we design a VLC receiver architecture centered on a Silicon Photomultiplier (SiPM) array. To address the joint time-varying effect produced by transmitter and array position displacement, a…

We study the rate-distortion problem for both scalar and vector memoryless heavy-tailed α-stable sources (0 < α < 2). Using a recently defined notion of “strength” as a power measure, we derive the rate-distortion function for α-stable sources subject to a constraint on the strength of the error and show it to be logarithmic in the strength-to-distortion ratio. We show how our framework paves the…

Efficiently running services in the worldwide scattered spectrum bands is increasingly difficult as those bands get ever more congested. Unlicensed spectrum offers a promising solution but effective coexistence among access technologies is required to mitigate interference and ensure the always more stringent Quality of Service required by new services. Besides, the increasing number and complexi…

In future 6G networks, mobile edge computing (MEC) is envisioned to offer integrated computing, communication, and storage services at the network edge, enhancing both computational efficiency and communication quality. However, most existing MEC designs neglect the impact of jamming attacks, especially those from intelligent and adaptive jammers. To fill this important research gap, this paper i…

This article addresses the design of multigroup multicast communications in the pinching-antenna system (PASS). A PASS-enabled multigroup transmission framework is proposed to maximize multicast rates under a couple of transmission architectures: waveguide-division (WD) and waveguide-multiplexing (WM). 1) For WD, an element-wise sequential optimization strategy is proposed for <italic xmlns:mml="…

While multi-device cooperative task-oriented semantic communication (TOSC) enhances task performance through comprehensive information representation, it inevitably introduces redundancy, thereby increasing communication overhead. Existing redundancy elimination methods suffer from limitations in interpretability and coarse granularity, hindering the optimal utilization of communication resources…

Deep learning (DL)-based models have been widely applied in wireless communication systems with excellent performance. However, most of these models are task- and scenario-specific, exhibiting limited generalization and contributing to increasing complexity and overhead with their deployment in systems. Inspired by the emergent capabilities and strong generalization exhibited by large models (LMs…