Sparsity and reconstruction error are two main objectives to be optimized in sparse signal
reconstruction. In this paper, sparse signals are reconstructed by optimizing these two …

In recent sparse reconstruction, the sparsity and reconstruction error can be considered as
two objectives and tackled by multiobjective optimization methods. Since the sparse …

Degree-of-freedom (DoF) based models have become prevalent in studying MIMO-based
wireless networks. However, most existing DoF-based models assume the channel matrix is …

Given a sensor network, TDOA self-calibration aims at simultaneously estimating the
positions of receivers and transmitters, and transmitters time offsets. This can be formulated …

In this paper we present an algorithm to minimize transmit power in multiple-input multiple-
output (MIMO) heterogeneous networks (HetNets) with flexible duplexing, a promising …

In this paper, we propose an algorithm to maximize downlink rate performance in the context
of multiple-input multiple-output (MIMO) Heterogeneous Networks (HetNets). Specifically …

In this paper, we present an experimental evaluation of the performance benefits provided
by flexible duplexing, an access technique that allows uplink and downlink cells to coexist …

(English) The increase of wireless devices offering high data rate services limits the
coexistence of wireless systems sharing the same resources in a given geographical area …

Interference alignment (IA) is a key technology for achieving the capacity scaling required by
next generation wireless networks, which is proved to obtain the maximum degrees of …

Introducción El protocolo ERAS (Enhaced Recovery After Surgery) es una combinación de
medidas multidisciplinares que se aplican en el paciente durante el período preoperatorio …