Recently, model-free power control approaches have been developed to achieve the near-
optimal performance of cell-free (CF) massive multiple-input multiple-output (MIMO) with …

This letter proposes the unsupervised training of a feedforward neural network to solve
parametric optimization problems involving large numbers of parameters. Such …

Drawing on the notion of parallel interference cancellation, this paper formulates a one-shot
linear receiver for the uplink of centralized, possibly cloud-based, radio access networks (C …

This letter applies a feedforward neural network trained in an unsupervised fashion to the
problem of optimizing the transmit powers in centralized radio access networks operating on …

This paper tackles the joint user association (UA) and power control (PC) problem for
dynamic heterogeneous networks (HetNets), where the number of active users varies over …

Sažetak The internet of robotic things (IoRT) is a modern as well as fast-evolving technology
employed in abundant socio-economical aspects which connect user equipment (UE) for …

Optimizing uplink resource allocation is of paramount importance to support the growing
demands for high-rate uplink applications. Optimizing power control is an effective method to …

Zukünftige Antriebssysteme werden immer komplexer. Beispielsweise ergeben sich durch
die Hybridisierung von Verbrennungsmotoren umfangreiche Möglichkeiten für die …