Multi-agent systems have received a significant amount of research attention during the last
three decades. As one of the most important problems, distributed optimisation for multi …

In this article the randomized algorithm for estimating the von Neumann entropy of large-
scale density matrices is considered. By capturing the dominant eigenspace via a k-rank …

Massive multiple-input multiple-output (MIMO) is an emerging technology, which is an
enabler for future broadband wireless networks that support connection of the internet of …

In industrial network systems, the system performance tightly relies on the sensing method,
control strategy, and transmission scheme. Industrial network system is generally composed …

A memristor crossbar, which is constructed with memristor devices, has the unique ability to
change and memorize the state of each of its memristor elements. It also has other highly …

In this paper, we develop a statistical group sparse beamforming framework to minimize the
network power consumption for green cloud radio access networks (Cloud-RANs). It will …

In Cloud Radio Access Networks (C-RANs), the high computational complexity of signal
processing becomes unaffordable due to the large number of remote radio heads (RRHs) …

Channel matrix sparsification is considered as a promising approach to reduce the
progressing complexity in large-scale cloud radio access networks based on ideal channel …

The growing number of wireless devices nowadays often results in congestion of wireless
channels. In research, this topic is referred to as networking in dense wireless spaces. The …

With the evolution of content demand characteristics and the emergence of crowdsourced
streaming services, Internet video traffic including on-demand and live videos has grown …