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Found 15 papers, 0 papers with code
Optimal Training Design for Over-the-Air Polynomial Power Amplifier Model Estimation
The current evolution towards a massive number of antennas and a large variety of transceiver architectures forces to revisit the conventional techniques used to improve the fundamental power amplifier (PA) linearity-efficiency trade-off.
Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion
In the four user-case, for a fixed sum rate, the total consumed power (PA and processing) of the GNN precoder is 3. 24 and 1. 44 times lower compared to ZF and ZF plus DPD respectively.
Energy-Saving Cell-Free Massive MIMO Precoders with a Per-AP Wideband Kronecker Channel Model
We study cell-free massive multiple-input multiple-output precoders that minimize the power consumed by the power amplifiers subject to per-user per-subcarrier rate constraints.
Deep Unfolding for Fast Linear Massive MIMO Precoders under a PA Consumption Model
Massive multiple-input multiple-output (MIMO) precoders are typically designed by minimizing the transmit power subject to a quality-of-service (QoS) constraint.
Energy-Saving Precoder Design for Narrowband and Wideband Massive MIMO
When considering the overall BS power consumption and a large number of subcarriers, we show that significant savings are achievable in the low-load regime by using a subset of the BS antennas.
Self-Supervised Learning of Linear Precoders under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems
Massive multiple input multiple output (MIMO) systems are typically designed under the assumption of linear power amplifiers (PAs).
The Z3RO Family of Precoders Cancelling Nonlinear Power Amplification Distortion in Large Array Systems
Large array systems use a massive number of antenna elements and clever precoder designs to achieve an array gain at the user location.
Linear Precoder Design in Massive MIMO under Realistic Power Amplifier Consumption Constraint
Most of the current massive MIMO precoders are designed to minimize the transmit power.
Array Placement in Distributed Massive MIMO for Power Saving considering Environment Information
We validate the performance of the models with a ray-tracing simulator considering different signal coverage levels.
Grant-Free Random Access in Massive MIMO for Static Low-Power IoT Nodes
In contrast to the grant-based scheme, a grant-free approach uses user-specific preambles and has a small overhead, at the expense of more complexity at access points.
Z3RO Precoder Canceling Nonlinear Power Amplifier Distortion in Large Array Systems
In this work, a linear precoder is proposed that allows working close to saturation while canceling the coherent combining of the third order nonlinear \gls{pa} distortion at the user location.
Spatial Distribution of Distortion due to Nonlinear Power Amplification in Distributed Massive MIMO
As a comparison with a central massive MIMO system, having the same total number of antennas, the distortion in distributed massive MIMO is considerably more uniformly distributed in space.
Array Placement in Distributed Massive MIMO for power saving considering Radiation Pattern
Our results suggest that i) among the three factors, the array radiation pattern of each AP is the most important one in determining the optimal AP placement for the D-mMIMO; ii) the performance of the D-mMIMO is highly impacted by the placement and array radiation pattern of each AP, the D-mMIMO with unoptimized placement may perform even worse than the CAS with massive MIMO (C-mMIMO); iii) with the consideration of patch antennas and the mutual coupling effect, the optimized D-mMIMO can potentially save more than 7 dB transmit power compared to the C-mMIMO.
CSI-based versus RSS-based Secret-Key Generation under Correlated Eavesdropping
Physical-layer security (PLS) has the potential to strongly enhance the overall system security as an alternative to or in combination with conventional cryptographic primitives usually implemented at higher network layers.
Experimental Investigation of Frequency Domain Channel Extrapolation in Massive MIMO Systems for Zero-Feedback FDD
Estimating downlink (DL) channel state information (CSI) in frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems generally requires downlink pilots and feedback overheads.
