To overlap or not to overlap: Enabling channel bonding in high-density WLANs

To overlap or not to overlap: Enabling Channel Bonding in High Density WLANs

Wireless local area networks (WLANs) are the most popular kind of wireless Internet connection. However, the number of devices accessing the Internet through WLANs such as laptops, smartphones, or wearables, is increasing drastically at the same time that applications’ throughput requirements do. To cope with the later challenge, channel bonding (CB) techniques are used for enabling higher data...

Sleep Overlap Syndrome

Overlap syndrome, which is known as the coexistence of chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA), was first defined by Flenley. Although it can refer to concomitant occurrence of any of the pulmonary diseases and OSA, overlap syndrome is commonly considered as the coexistence of OSA and COPD. This disease has unique adverse health consequences distinct from ...

Dataset overlap density analysis

The need to compare compound datasets arises from various scenarios, like mergers, library extension programs, gap analysis, combinatorial library design, or estimation of QSAR model applicability domains. Whereas it is relatively easy to find identical compounds in two datasets, the quantification of the overlap is not straightforward. The various approaches described include pairwise nearest ...

Performance Analysis of Dynamic Channel Bonding in Spatially Distributed High Density WLANs

In this paper we discuss the effects on throughput and fairness of dynamic channel bonding (DCB) in spatially distributed high density (HD) wireless local area networks (WLANs). First, we present an analytical framework based on continuous time Markov networks (CTMNs) for depicting the phenomena given when applying different DCB policies in spatially distributed scenarios, where nodes are not r...

High density Lipoprotein; What to Measure: Quality or Quantity?