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Massive Wireless Energy Transfer without Channel State Information via Imperfect Intelligent Reflecting Surfaces
Intelligent Reflecting Surface (IRS) utilizes low-cost, passive reflecting elements to enhance the passive beam gain, improve Wireless Energy Transfer (WET) efficiency, and enable its deployment for numerous Internet of Things (IoT) devices.
Proactive Monitoring via Jamming in Fluid Antenna Systems
Our objective is to maximize the average monitoring rate, whose expression involves the integral of the first-order Marcum $Q$ function.
Resource Allocation for Semantic-Aware Mobile Edge Computing Systems
Moreover, the closed-form optimal solution of the semantic extraction factor is derived.
Pointing-and-Acquisition for Optical Wireless in 6G: From Algorithms to Performance Evaluation
The increasing demand for wireless communication services has led to the development of non-terrestrial networks, which enables various air and space applications.
On Performance of Fluid Antenna System using Maximum Ratio Combining
This letter investigates a fluid antenna system (FAS) where multiple ports can be activated for signal combining for enhanced receiver performance.
A Partially Observable Deep Multi-Agent Active Inference Framework for Resource Allocation in 6G and Beyond Wireless Communications Networks
Simulation results demonstrate that our proposed framework can significantly improve the sum transmission rate of the secondary network compared to various benchmark schemes.
On the Generalization and Advancement of Half-Sine-Based Pulse Shaping Filters for Constant Envelope OQPSK Modulation
The offset quadrature phase-shift keying (OQPSK) modulation is a key factor for the technique of ZigBee, which has been adopted in IEEE 802. 15. 4 for wireless communications of Internet of Things (IoT) and Internet of Vehicles (IoV), etc.
Resource Allocation for Cell-Free Massive MIMO-aided URLLC Systems Relying on Pilot Sharing
Specifically, to support multiple devices with limited pilot overhead, pilot reuse among the users is considered, where we formulate a joint pilot length and pilot allocation strategy for maximizing the number of devices admitted.
Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles
Specifically, we commence with a comprehensive introduction of RIS pricing with its potential applications in RIS networks, meanwhile the fundamentals of pricing models are summarized in order to benefit both RIS holders and WSPs.
Over-the-Air Split Machine Learning in Wireless MIMO Networks
In such a split ML system, the precoding and combining matrices are regarded as trainable parameters, while MIMO channel matrix is regarded as unknown (implicit) parameters.
Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks
Then, substituting the expressions of the beamforming matrices of the BS and the users, the original sum-rate maximization problem can be transformed into a problem that only needs to optimize the phase shifts of the IRS.
Environment Sensing Considering the Occlusion Effect: A Multi-View Approach
In this paper, we consider the problem of sensing the environment within a wireless cellular framework.
Analog Self-Interference Cancellation with Practical RF Components for Full-Duplex Radios
In this paper, we derive a closed-form expression for the SIC performance of the multi-tap circuit; we consider how the RF components must overcome such practical impairments as digitally-controlled attenuators, phase shifters, and PA. For a realistic performance analysis, we exploit the measured PA characteristics and carry out a 3D ray-tracing-based, system-level throughput analysis.
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI
This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks.
On the Diversity and Coded Modulation Design of Fluid Antenna Systems
From a transceiver's standpoint, this can be materialized through the implementation of fluid antennas (FAs).
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.
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
In this paper, a novel framework for proactive caching is proposed.
LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?
The rapid development of communication technologies in the past decades has provided immense vertical opportunities for individuals and enterprises.
Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions
In this paper, we explore optimization-based and data-driven solutions in a reconfigurable intelligent surface (RIS)-aided multi-user mobile edge computing (MEC) system, where the user equipment (UEs) can partially offload their computation tasks to the access point (AP).
User Cooperation for IRS-aided Secure SWIPT MIMO Systems
In this paper, intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel where the angular direction of the eavesdropper is aligned with a legitimate user.
A Vision to Smart Radio Environment: Surface Wave Communication Superhighways
Complementary to traditional approaches that focus on transceiver design for bringing the best out of unstable, lossy fading channels, one radical development in wireless communications that has recently emerged is to pursue a smart radio environment by using software-defined materials or programmable metasurfaces for establishing favourable propagation conditions.
Truly Intelligent Reflecting Surface-Aided Secure Communication Using Deep Learning
This paper considers machine learning for physical layer security design for communication in a challenging wireless environment.
Model-Driven Beamforming Neural Networks
We also offer enhancement methods such as training-set augmentation and transfer learning in order to improve the generality of BNNs, accompanied by computer simulation results and testbed results showing the performance of such BNN solutions.
MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation
Reconfigurable intelligent surface (RIS) is a new paradigm that has great potential to achieve cost-effective, energy-efficient information modulation for wireless transmission, by the ability to change the reflection coefficients of the unit cells of a programmable metasurface.
Learning the Wireless V2I Channels Using Deep Neural Networks
For high data rate wireless communication systems, developing an efficient channel estimation approach is extremely vital for channel detection and signal recovery.
