0000000000287233
AUTHOR
Diego Lloria
Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
Abstract Hybrid platforms combining multicore Central Processing Units (CPU) with many-core hardware accelerators such as Graphic Processing Units (GPU) can be smartly exploited to provide efficient parallel implementations of wireless communication algorithms for Fifth Generation (5G) and beyond systems. Massive Multiple-Input Multiple-Output (MIMO) systems are a key element of the 5G standard, involving several tens or hundreds of antenna elements for communication. Such a high number of antennas has a direct impact on the computational complexity of some MIMO signal processing algorithms. In this work, we focus on the channel estimation stage. In particular, we develop a parallel impleme…
Low-complexity AoA and AoD Estimation in the Transformed Spatial Domain for Millimeter Wave MIMO Channels
High-accuracy angle of arrival (AoA) and angle of departure (AoD) estimation is critical for cell search, stable communications and positioning in millimeter wave (mmWave) cellular systems. Moreover, the design of low-complexity AoA/AoD estimation algorithms is also of major importance in the deployment of practical systems to enable a fast and resource-efficient computation of beamforming weights. Parametric mmWave channel estimation allows to describe the channel matrix as a combination of direction-dependent signal paths, exploiting the sparse characteristics of mmWave channels. In this context, a fast Transformed Spatial Domain Channel Estimation (TSDCE) algorithm was recently proposed …
Low-complexity AoA and AoD estimation in the transformed spatial domain for millimeter wave MIMO channels
La estimación del ángulo de llegada (AoA) y del ángulo de salida (AoD) es fundamental para la búsqueda de celdas, las comunicaciones estables y el posicionamiento en los sistemas celulares de ondas milimétricas (mmWave). Además, el diseño de algoritmos de estimación de AoA/AoD de baja complejidad resulta también de gran importancia en el despliegue de sistemas prácticos para permitir un cálculo rápido y eficiente de la conformación de haz. La estimación paramétrica del canal en ondas milimétricas permite describir la matriz del canal como una combinación de trayectorias de señales dependientes de la dirección, explotando la característica de dispersión de los canales mmWave. En este context…