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Found 12 papers, 0 papers with code
Modeling and Coverage Analysis of K-Tier Integrated Satellite-Terrestrial Downlink Networks
In this paper, we introduce a tractable approach to analyze the downlink coverage performance of multi-tier ISTNs, where each network tier operates with orthogonal frequency bands.
Joint and Robust Beamforming Framework for Integrated Sensing and Communication Systems
In this paper, we present a joint communication and radar beamforming framework for maximizing a sum spectral efficiency (SE) while guaranteeing desired radar performance with imperfect channel state information (CSI) in multi-user and multi-target ISAC systems.
Coverage Analysis of Dynamic Coordinated Beamforming for LEO Satellite Downlink Networks
Our primary finding is that dynamic coordinated beamforming significantly improves coverage compared to the absence of satellite coordination, in direct proportion to the number of antennas on each satellite.
On the Learning of Digital Self-Interference Cancellation in Full-Duplex Radios
The experimental results demonstrate the robustness of the model-based SIC methods, providing practical evidence of their effectiveness.
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM
The proposed split structure in the computation of the Kalman gain allows to compensate for state and measurement model mismatch effects independently.
Secure Transmission for Hierarchical Information Accessibility in Downlink MU-MIMO
In this paper, we consider a generalized model of conventional physical layer security, referred to as hierarchical information accessibility (HIA).
Rate-Splitting Multiple Access for Downlink MIMO: A Generalized Power Iteration Approach
Rate-splitting multiple access (RSMA) is a general multiple access scheme for downlink multi-antenna systems embracing both classical spatial division multiple access and more recent non-orthogonal multiple access.
Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems
For maximizing EE in quantized downlink massive MIMO systems, this paper formulates a precoding optimization problem with antenna selection; yet acquiring the optimal joint precoding and antenna selection solution is challenging due to the intricate EE characterization.
Sparse Joint Transmission for Cloud Radio Access Networks with Limited Fronthaul Capacity
A cloud radio access network (C-RAN) is a promising cellular network, wherein densely deployed multi-antenna remote-radio-heads (RRHs) jointly serve many users using the same time-frequency resource.
Precoding Design for Multi-user MIMO Systems with Delay-Constrained and -Tolerant Users
We consider an optimization problem that maximizes the sum spectral efficiency of delay-tolerant users while satisfying the latency constraint of delay-constrained users, and propose a generalized power iteration (GPI) precoding algorithm that finds a principal precoding vector.
Terahertz Line-Of-Sight MIMO Communication: Theory and Practical Challenges
A relentless trend in wireless communications is the hunger for bandwidth, and fresh bandwidth is only to be found at ever-higher frequencies.
Sparse Joint Transmission for Cell-Free Massive MIMO: A Sparse PCA Approach
Cell-free massive multiple-input multiple-output (MIMO) is a promising cellular network.
