In recent past, the exponential growth in data rate demands have led to network operators constantly upgrading their network infrastructure in order to keep up with the demand.
We examine the basic energy tradeoffs between video transport and video processing for services such as multi- view video (MVV) streaming, where multiple media streams are combined and processed to
We provide explicit formulas for obtaining the optimal number of service antennas per base station to maximize the cell total energy efficiency of a multi-cell massive MIMO wireless network.
Intermittent transmission through low power states and discontinuous operation has been introduced in G.fast to enhance energy efficiency.
Consider a network of prosumers of media content in which users dynamically create and request content objects.
We give an overview about different options for energy efficient FEC realizations in future optical communication systems.
This paper evaluates the energy benefit of file transfers over rate adaptive optical networks.
The high spectral efficiency of massive MIMO (Multiple Input Multiple Output) is mainly achieved through the exploitation of spatial multiplexing, i.e.
Massive multiple-input multiple-output (MIMO) systems can support a large number of industrial Internet of things (IIoT) devices using many service antennas that are equipped at a base station (BS)
Estimates suggest that in ten years backbone network traffic will increase by a factor of thirty, which will require a corresponding increase in network capacity.
