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Found 13 papers, 4 papers with code
Wideband Channel Capacity Maximization With Beyond Diagonal RIS Reflection Matrices
We introduce a new algorithm designed to optimize the configuration of the BD-RIS to maximize wideband capacity.
Localization in Massive MIMO Networks: From Near-Field to Far-Field
Source localization is the process of estimating the location of signal sources based on the signals received at different antennas of an antenna array.
Multi-agent Reinforcement Learning for Energy Saving in Multi-Cell Massive MIMO Systems
We develop a multi-agent reinforcement learning (MARL) algorithm to minimize the total energy consumption of multiple massive MIMO (multiple-input multiple-output) base stations (BSs) in a multi-cell network while preserving the overall quality-of-service (QoS) by making decisions on the multi-level advanced sleep modes (ASMs) and antenna switching of these BSs.
Parametric Near-Field Channel Estimation for Extremely Large Aperture Arrays
Accurate channel estimation is critical to fully exploit the beamforming gains when communicating with extremely large aperture arrays.
A New Polar-Domain Dictionary Design for the Near-field Region of Extremely Large Aperture Arrays
However, when the BS is equipped with an extremely large aperture array, the Fraunhofer distance is huge, causing the UEs to be located in the radiative near-field region.
Cell-Free Massive MIMO in O-RAN: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resources
In this paper, we explore the performance and power consumption of cell-free massive MIMO technology in comparison with traditional small-cell systems, in the virtualized O-RAN architecture.
Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading Processing
In this paper, we propose a sparse distributed processing design for CF mMIMO, where the AP-UE association and long-term signal processing coefficients are jointly optimized.
Exploiting Array Geometry for Reduced-Subspace Channel Estimation in RIS-Aided Communications
A reconfigurable intelligent surface (RIS) can be used to improve the channel gain between a base station (BS) and user equipment (UE), but only if its $N$ reflecting elements are configured properly.
Cell-Free Massive MIMO in Virtualized CRAN: How to Minimize the Total Network Power?
This paper proposes a new cell-free architecture that can be implemented on top of a virtualized cloud radio access network (V-CRAN).
Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems
Further, we develop a clustered DNN model where the LSF parameters of a small number of APs, forming a cluster within a relatively large network, are used to jointly approximate the power coefficients of the cluster.
The Bussgang Decomposition of Non-Linear Systems: Basic Theory and MIMO Extensions
The Bussgang decomposition is a popular tool for analyzing the performance of systems that involve such non-linear components.
Joint Power Control and LSFD for Wireless-Powered Cell-Free Massive MIMO
The single-antenna user equipments (UEs) utilize the energy harvested in the downlink to transmit uplink pilot and information signals to the multiple-antenna access points (APs).
Information Theory Signal Processing Information Theory
Impact of Backward Crosstalk in 2x2 MIMO Transmitters on NMSE and Spectral Efficiency
We consider backward crosstalk in 2 x 2 transmitters, which is caused by crosstalk from the outputs of the transmitter to the inputs or by the combination of output crosstalk and impedance mismatch.
