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Found 13 papers, 1 papers with code
Joint Power Optimization and AP Selection for Secure Cell-Free Massive MIMO
In this paper, we investigate joint power control and access point (AP) selection scheme in a cell-free massive multiple-input multiple-output (CF-mMIMO) system under an active eavesdropping attack, where an eavesdropper tries to overhear the signal sent to one of the legitimate users by contaminating the uplink channel estimation.
Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control
We consider the problem of max-min fairness for uplink cell-free massive multiple-input multiple-output (MIMO) subject to per-user power constraints.
Massive MIMO for Serving Federated Learning and Non-Federated Learning Users
It is anticipated that future wireless networks will jointly serve both FL and downlink non-FL user groups in the same time-frequency resource.
Serving Federated Learning and Non-Federated Learning Users: A Massive MIMO Approach
We propose a communication scheme that serves the downlink of the non-FL users (UEs) and the uplink of FL UEs in each half of the frequency band.
Accelerated Projected Gradient Method for the Optimization of Cell-Free Massive MIMO Downlink
The known methods use off-the-shelf convex solvers, which basically implement an interior-point algorithm, to solve the derived convex problems.
How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups?
Federated learning (FL) has been considered as a promising learning framework for future machine learning systems due to its privacy preservation and communication efficiency.
Intelligent Reflecting Surfaces at Terahertz Bands: Channel Modeling and Analysis
An intelligent reflecting surface (IRS) at terahertz (THz) bands is expected to have a massive number of reflecting elements to compensate for the severe propagation losses.
A Low-Complexity Approach for Max-Min Fairness in Uplink Cell-Free Massive MIMO
We consider the problem of max-min fairness for uplink cell-free massive multiple-input multiple-output which is a potential technology for beyond 5G networks.
Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink
Simulation results for large-scale cell-free massive MIMO show that the four utility functions can deliver nearly uniformed services to all users.
Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO
We then develop a new algorithm that is proven to converge to the neighbourhood of the stationary points of the formulated problem.
Information Theory Information Theory
The Road to 6G: Ten Physical Layer Challenges for Communications Engineers
While the deployment of 5G cellular systems will continue well in to the next decade, much interest is already being generated towards technologies that will underlie its successor, 6G.
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems
We propose a novel deep energy autoencoder (EA) for noncoherent multicarrier multiuser single-input multipleoutput (MU-SIMO) systems under fading channels.
Information Theory Signal Processing Information Theory
Cell-Free Massive MIMO for Wireless Federated Learning
This paper proposes a novel scheme for cell-free massive multiple-input multiple-output (CFmMIMO) networks to support any federated learning (FL) framework.
Signal Processing Information Theory Information Theory
