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Found 18 papers, 0 papers with code
Holography inspired self-controlled reconfigurable intelligent surface
Among various promising candidate technologies for the sixth-generation (6G) wireless communications, recent advances in microwave metasurfaces have sparked a new research area of reconfigurable intelligent surfaces (RISs).
Enhancing Energy Efficiency for Reconfigurable Intelligent Surfaces with Practical Power Models
To address this issue, in this paper, we first utilize a practical power model for a RIS-assisted multi-user multiple-input single-output (MU-MISO) communication system, which takes into account the difference in power dissipation caused by ON-OFF states of RIS's PIN diodes.
Near-Field Beam Management for Extremely Large-Scale Array Communications
Extremely large-scale arrays (XL-arrays) have emerged as a promising technology to achieve super-high spectral efficiency and spatial resolution in future wireless systems.
On the Role of ViT and CNN in Semantic Communications: Analysis and Prototype Validation
Semantic communications have shown promising advancements by optimizing source and channel coding jointly.
The Manifestation of Spatial Wideband Effect in Circular Array: From Beam Split to Beam Defocus
However, the growing bandwidth of mmWave and THz communications require frequency-independent phase shifts, which can not be perfectly realized through frequency-independent phase shifters (PSs) in classical hybrid precoding architectures.
Location Division Multiple Access for Near-Field Communications
Spatial division multiple access (SDMA) is essential to improve the spectrum efficiency for multi-user multiple-input multiple-output (MIMO) communications.
Multiple access for near-field communications: SDMA or LDMA?
The classical SDMA for massive MIMO with hybrid precoding heavily relies on the angular orthogonality in the far field to distinguish multiple users at different angles, which fails to fully exploit spatial resources in the distance domain.
Reconfigurable Intelligent Computational Surfaces: When Wave Propagation Control Meets Computing
The envisioned sixth-generation (6G) of wireless networks will involve an intelligent integration of communications and computing, thereby meeting the urgent demands of diverse applications.
Demo: low-power communications based on RIS and AI for 6G
By jointly designing the hardware and software, this prototype can realize real-time 4K video transmission with much reduced power consumption.
Demo: Real-Time Semantic Communications with a Vision Transformer
Semantic communications are expected to enable the more effective delivery of meaning rather than a precise transfer of symbols.
Sensing RISs: Enabling Dimension-Independent CSI Acquisition for Beamforming
In this paper, we propose a dimension-independent channel state information (CSI) acquisition approach in which the required pilot overhead is independent of the number of RIS elements.
Beam Squint in Ultra-wideband mmWave Systems: RF Lens Array vs. Phase-Shifter-Based Array
In terms of the beam squint, we compare the proposed RF lens antenna with the phase shifter-based array for hybrid beamforming.
Residual-Aided End-to-End Learning of Communication System without Known Channel
However, the gradient vanishing and overfitting problems of GAN will result in the serious performance degradation of E2E learning of communication system.
Extending Zeckendorf's Theorem to a Non-constant Recurrence and the Zeckendorf Game on this Non-constant Recurrence Relation
We show that the game is finite and ends at the unique decomposition of $n$, and that either player can win in a two-player game.
Number Theory
Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm
Hence, in this review, a pair of dominant methodologies of using DL for wireless communications are investigated.
A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network
Then, in a wideband RIS-aided cell-free network, we formulate the problem of joint precoding design at BSs and RISs to maximize the network capacity.
Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications
Although the mobile RIS-UE channel has to be frequently estimated in a small timescale, the associated pilot overhead is low thanks to its low dimension.
Deep Learning for Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems
Specifically, based on the prior information that beamspace channel elements can be modeled by the Gaussian mixture distribution, we first derive a new shrinkage function to refine the AMP algorithm.
