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Found 66 papers, 4 papers with code
Modeling and Optimization of Insulin Injection for Type-1 Diabetes Mellitus Management
In this paper, we focus on understanding the interaction of insulin and glucose molecules within the subcutaneous layer, which is crucial for blood sugar control in T1DM patients.
A Framework for Fractional Matrix Programming Problems with Applications in FBL MU-MIMO
By contrast, our framework solves OPs associated with a sum or product of multiple FFs as the objective or constraint functions.
Introducing Resilience to IRS-Assisted Secure Wireless Systems
In particular, the absorption performance measures the system's robustness when facing failure while the adaptation performance reflects the system's ability to recover from failure.
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions
Federated learning (FL) provides a privacy-preserving solution for fine-tuning pre-trained large language models (LLMs) using distributed private datasets, enabling task-specific adaptation while preserving data privacy.
Optical Wireless Communications: Enabling the Next Generation Network of Networks
Optical wireless communication (OWC) is a promising technology anticipated to play a key role in the next-generation network of networks.
Antenna Activation for NOMA Assisted Pinching-Antenna Systems
To this end, a sum rate maximization problem with antenna activation is formulated.
Rate Splitting Multiple Access for RIS-aided URLLC MIMO Broadcast Channels
The performance of modern wireless communication systems is typically limited by interference.
Sensing Accuracy Optimization for Communication-assisted Dual-baseline UAV-InSAR
In this paper, we study the optimization of the sensing accuracy of unmanned aerial vehicle (UAV)-based dual-baseline interferometric synthetic aperture radar (InSAR) systems.
Two Birds With One Stone: Enhancing Communication and Sensing via Multi-Functional RIS
Furthermore, we present two schemes that utilize MF-RISs to enhance the performance of integrated sensing and communication (ISAC).
Near-Field Multipath MIMO Channel Model for Imperfect Surface Reflection
Near-field (NF) communications is receiving renewed attention in the context of passive reconfigurable intelligent surfaces (RISs) due to their potentially extremely large dimensions.
Distributed Channel Estimation and Optimization for 6D Movable Antenna: Unveiling Directional Sparsity
In particular, we unveil for the first time a new \textbf{\textit{directional sparsity}} property of 6DMA channels, where each user has significant channel gains only for a (small) subset of 6DMA position-rotation pairs, which can receive direct/reflected signals from users.
Globally Optimal Movable Antenna-Enhanced multi-user Communication: Discrete Antenna Positioning, Motion Power Consumption, and Imperfect CSI
In particular, we optimize the beamforming and the MA positions at the BS to minimize the total BS power consumption, encompassing both radiated and MA motion power while guaranteeing a minimum required SINR for each user.
Advanced ISAC Design: Movable Antennas and Accounting for Dynamic RCS
We investigate resource allocation in integrated sensing and communication (ISAC) systems exploiting movable antennas (MAs) to enhance system performance.
Approximate Partially Decentralized Linear EZF Precoding for Massive MU-MIMO Systems
Massive multi-user multiple-input multiple-output (MU-MIMO) systems enable high spatial resolution, high spectral efficiency, and improved link reliability compared to traditional MIMO systems due to the large number of antenna elements deployed at the base station (BS).
UAV Formation and Resource Allocation Optimization for Communication-Assisted 3D InSAR Sensing
In this paper, we investigate joint unmanned aerial vehicle (UAV) formation and resource allocation optimization for communication-assisted three-dimensional (3D) synthetic aperture radar (SAR) sensing.
Efficient UAV Hovering, Resource Allocation, and Trajectory Design for ISAC with Limited Backhaul Capacity
Subsequently, the acquired sensing data is offloaded to the ground BS for further processing.
Robust Trajectory and Resource Optimization for Communication-assisted UAV SAR Sensing
In this paper, we investigate joint 3-dimensional (3D) trajectory planning and resource allocation for rotary-wing unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) sensing.
Exploit High-Dimensional RIS Information to Localization: What Is the Impact of Faulty Element?
Then our objective is to regain the information lost from the faulty elements and reconstruct the complete high-dimensional RIS information for localization.
Radar Rainbow Beams For Wideband mmWave Communication: Beam Training And Tracking
Three detection and estimation schemes are proposed based on radar rainbow beams for estimation of the users' angles, distances, and velocities, which are then exploited for communication beamformer design.
Delay Dispersion in IRS-assisted FSO Links
The line-of-sight (LOS) requirement of free-space optical (FSO) systems can be relaxed by employing optical intelligent reflecting surfaces (IRSs).
User Tracking and Direction Estimation Codebook Design for IRS-Assisted mmWave Communication
The proposed UT algorithm requires only a low overhead for direction and channel estimation and avoids outdated IRS phase shifts.
100 Gbps Indoor Access and 4.8 Gbps Outdoor Point-to-Point LiFi Transmission Systems using Laser-based Light Sources
In this paper, we demonstrate the communication capabilities of light-fidelity (LiFi) systems based on highbrightness and high-bandwidth integrated laser-based sources in a surface mount device (SMD) packaging platform.
Far- versus Near-Field RIS Modeling and Beam Design
In this chapter, we investigate the mathematical foundation of the modeling and design of reconfigurable intelligent surfaces (RIS) in both the far- and near-field regimes.
UAV Formation Optimization for Communication-assisted InSAR Sensing
To this end, we adopt as sensing performance metrics the interferometric coherence, i. e., the local correlation between the two co-registered UAV radar images, and the height of ambiguity (HoA), which together are a measure for the accuracy with which the InSAR system can estimate the height of ground objects.
HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning
Our simulation results confirm that HoloFed achieves a 57% lower positioning error variance compared to a beam-scanning baseline and can effectively adapt to diverse environments.
LAMBO: Large AI Model Empowered Edge Intelligence
Next-generation edge intelligence is anticipated to benefit various applications via offloading techniques.
Accurate EH Modelling and Achievable Information Rate for SLIPT Systems with Multi-Junction Photovoltaic Receivers
Finally, we highlight a tradeoff between the information rate and harvested power in SLIPT systems and demonstrate that the proposed optimal distribution yields significantly higher achievable information rates compared to uniformly distributed transmit signals, which are optimal for linear optical information RXs.
Microparticle-based Controlled Drug Delivery Systems: From Experiments to Statistical Analysis and Design
CDD has been a major research focus in the field of molecular communications (MC) with the goal to aid the design and optimization of CDD systems with communication theoretical analysis.
Performance Analysis and Low-Complexity Design for XL-MIMO with Near-Field Spatial Non-Stationarities
Our analytical results indicate that a limited part of the XL-array receives the majority of the signal power in the near field, which leads to a notion of visibility region (VR) of a user.
Optical IRSs: Power Scaling Law, Optimal Deployment, and Comparison with Relays
We also consider the impact of linear, quadratic, and focusing phase shift profiles across the IRS on the power collected at the Rx lens for different IRS sizes.
Energy-Aware Resource Allocation and Trajectory Design for UAV-Enabled ISAC
In this paper, we investigate joint resource allocation and trajectory design for multi-user multi-target unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC).
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach
With the proposed predictive approach, we can avoid full-scale CSI estimation and facilitate low-dimensional CE for transmit beamforming design such that the signaling overhead is reduced by a scale of $\frac{1}{N}$, where $N$ is the number of IRS elements.
Codebook-Based User Tracking in IRS-Assisted mmWave Communication Networks
In this paper, we present a novel mobile user tracking (UT) scheme for codebook-based intelligent reflecting surface (IRS) aided millimeter wave (mmWave) systems.
Rate-Splitting for Intelligent Reflecting Surface-Aided Multiuser VR Streaming
In the proposed system, RS facilitates the exploitation of the shared interests of the users in VR streaming, and IRS creates additional propagation channels to support the transmission of high-resolution 360-degree videos.
Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems
The performance characterization of communication systems assisted by large reconfigurable intelligent surfaces (RISs) significantly depends on the adopted models for the underlying channels.
Sweet Streams are Made of This: The System Engineer's View on Energy Efficiency in Video Communications
We discuss all relevant energy sinks, highlight dependencies with quality-of-service variables as well as video properties, review energy consumption models for different devices from the literature, and aggregate these existing models into a global model for the overall energy consumption of a generic online video service.
Trajectory and Resource Optimization for UAV Synthetic Aperture Radar
In this paper, we study the trajectory and resource optimization for lightweight rotary-wing unmanned aerial vehicles (UAVs) equipped with a synthetic aperture radar (SAR) system.
RIS Assisted Device Activity Detection with Statistical Channel State Information
In order to study the impact of the phase-shift design on the device activity detection, we derive a generalized likelihood ratio test (GLRT) based detector and present an analytical expression for the probability of detection.
Power Scaling Law for Optical IRSs and Comparison with Optical Relays
The line-of-sight (LOS) requirement of free-space optical (FSO) systems can be relaxed by employing optical relays and optical intelligent reflecting surfaces (IRSs).
Signal Reception With Generic Three-State Receptors in Synaptic MC
The proposed SMC model is the first that allows studying the impact of the characteristic dynamics of the main postsynaptic receptor types on synaptic signal transmission.
Media Modulation based Molecular Communication
Hence, in media modulation based MC, the TX modulates information into the state of the signaling molecules.
Molecular Noise In Synaptic Communication
In synaptic molecular communication (MC), the activation of postsynaptic receptors by neurotransmitters (NTs) is governed by a stochastic reaction-diffusion process.
Modeling and Design of IRS-Assisted Multi-Link FSO Systems
Our simulation results validate the accuracy of the proposed analytical channel model for IRS-assisted FSO systems and confirm that this model is applicable for both large and intermediate IRS-receiver lens distances.
Intelligent Reflecting Surface-assisted Free-space Optical Communications
Free-space optical (FSO) systems are able to offer the high data-rate, secure, and cost-efficient communication links required for applications such as wireless front- and backhauling for 5G and 6G communication networks.
IRS-Assisted Active Device Detection
This paper studies intelligent reflecting surface (IRS) assisted active device detection.
Statistical Modeling of Airborne Virus Transmission Through Imperfectly Fitted Face Masks
In particular, in most end-to-end models for airborne virus transmission, it is neglected that the stochastic spread of IAs through imperfectly fitted face masks depends on the dynamics of the breathing of the wearer.
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
The utilization of the millimeter-wave (mmWave) frequency bands is a promising direction for UAV communications, where large antenna arrays can be packed in a small area on the UAV to perform three-dimensional (3D) beamforming.
Hybrid Relay-Reflecting Intelligent Surface-Aided Wireless Communications: Opportunities, Challenges, and Future Perspectives
In this paper, we provide an overview of a hybrid relay-reflecting intelligent surface (HR-RIS) architecture, in which only a few elements are active and connected to power amplifiers and radio frequency chains.
IRS-Assisted Wireless Powered NOMA: Do We Really Need Different Phase Shifts in DL and UL?
Although adopting different IRS phase shifts for DL WPT and UL WIT, i. e., dynamic IRS beamforming, is in principle possible but incurs additional signaling overhead and computational complexity, it is an open problem whether it is actually beneficial.
Information Theory Hardware Architecture Emerging Technologies Networking and Internet Architecture Information Theory
Throughput Optimization for Grant-Free Multiple Access With Multiagent Deep Reinforcement Learning
Grant-free multiple access (GFMA) is a promising paradigm to efficiently support uplink access of Internet of Things (IoT) devices.
Experimental System for Molecular Communication in Pipe Flow With Magnetic Nanoparticles
The proposed CIR model is shown to consistently capture the experimentally observed distance-dependent impulse response peak heights and peak decays for transmission distances from 5cm to 40cm.
Emerging Technologies
Successive Null-Space Precoder Design for Downlink MU-MIMO with Rate Splitting and Single-Stage SIC
In this paper, we consider the precoder design for an under-loaded or critically loaded downlink multi-user multiple-input multiple-output (MU-MIMO) communication system.
Information Theory Signal Processing Information Theory
Deep Learning-based Resource Allocation For Device-to-Device Communication
Moreover, our results show that not only the resource allocation strategy but also the CSI encoding strategy can be efficiently determined using a DNN.
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference.
Channel Modeling for IRS-Assisted FSO Systems
In this paper, we develop an analytical channel model for intelligent reflecting surface (IRS)-assisted free space optical (FSO) systems.
Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning: A Radio Map based Approach
Based on the obtained channel power gain map, the communication-aware robot path planing problem is solved by exploiting graph theory.
Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning Using Radio Maps
Based on the obtained channel power gain map, the communication-aware robot path planing problem is solved as a shortest path problem by exploiting graph theory.
Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning
In this paper, we consider a cellular Internet of UAVs, where the UAVs execute sensing tasks through cooperative sensing and transmission to minimize the age of information (AoI).
Transfer Function Models for Cylindrical MC Channels with Diffusion and Laminar Flow
The propagation characteristics of the particles can be categorized into three different regimes: The flow dominant regime where the influence of diffusion on the particle transport is negligible, the dispersive regime where diffusion has a much stronger impact than flow, and the mixed regime where both effects are important.
Emerging Technologies Computational Physics
Uplink and Downlink MIMO-NOMA with Simultaneous Triangularization
The proposed ST MIMO-NOMA schemes avoid channel inversion at transmitter and receiver and take advantage of the null spaces of the MIMO channels of the users, which is beneficial for the ergodic achievable rate performance.
Information Theory Information Theory
Precoder Design and Power Allocation for Downlink MIMO-NOMA via Simultaneous Triangularization
In this paper, we consider the downlink precoder design for two-user power-domain multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) systems.
Information Theory Information Theory
Physics-based Modeling of Large Intelligent Reflecting Surfaces for Scalable Optimization
Based on this model, one can design the phase shifts of the unit cells of a tile offline for the support of several transmission modes and then select the best mode online for a given channel realization.
Synaptic Channel Modeling for DMC: Neurotransmitter Uptake and Spillover in the Tripartite Synapse
In this paper, we develop a comprehensive channel model of the tripartite synapse encompassing a three-dimensional, finite-size spatial model of the synaptic cleft, molecule uptake at the presynaptic neuron and at glial cells, reversible binding to individual receptors at the postsynaptic neuron, and spillover to the extrasynaptic space.
Precoder Design and Statistical Power Allocation for MIMO-NOMA via User-Assisted Simultaneous Diagonalization
In this paper, we investigate the downlink precoder design for two-user power-domain multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA).
Information Theory Information Theory
Channel Modeling for Synaptic Molecular Communication With Re-uptake and Reversible Receptor Binding
In this paper, we develop a comprehensive channel model for synaptic DMC encompassing a spatial model of the synaptic cleft, molecule re-uptake at the presynaptic neuron, and reversible binding to individual receptors at the postsynaptic neuron.
Compressive Sensing Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO
This paper considers massive access in massive multiple-input multiple-output (MIMO) systems and proposes an adaptive active user detection and channel estimation scheme based on compressive sensing.
