UNWIRED

Warning: This blog contains 3D models that may cause you to whoop and holler.

There are a few capabilities that iBwave is well known for in the market, but certainly, one of the most stand-out capabilities is the 3D modeling that comes with the iBwave wireless network design software. And while we can all agree that the 3D models are awesome to look at, the real value behind why our customers use this feature for their network designs is because of the level of prediction accuracy it allows them to pass onto their customers and the network end users – and as a result,  the time and cost savings that comes along with it. Plus yes, the 3D models certainly are a marketing feature for any of our customers in the bidding process, enabling them with a powerful and visual way display exactly how the network they've designed will perform in customer's venue.

A Twitter post popped up in my news feed last week showing a graph of the attenuation values for different types of glass – mainly the distinction between a regular glass window and a low emissions (Low E) window. It was showing that Low E windows have a much higher attenuation value than regular windows—a fact that could impact prediction of a network significantly if the incorrect type of window is selected during modeling.

Have you ever wondered what could be the impact of selecting a wrong wall material in a wireless design project? How about setting the floor plan scale a tad incorrectly or modeling a flat surface instead of an inclined surface? The answer is, seemingly small modeling errors can have huge impacts on network performances and project costs.

Learn how to avoid small errors that might lead to significant flaws. Join our next webinar with resident Wi-Fi expert, Vladan Jevremovic!

With iBwave R9 about to launch in the coming weeks, we’ve slowly been hinting at some of the features that will be included.

This week, we’re here to talk about the new multi-radio/software selectable radio support that will be included in the R9 of iBwave Wi-Fi.

Given our ever-growing need for data in today’s world of smart cities, smart buildings and the Internet of Things, the need for fast, reliable connectivity indoors has never been greater. Especially when it comes to the Enterprise.

One of the key benefits that set us apart from cellular & Wi-Fi network planning and design software is the ability to model incline surfaces. But why is this such a benefit? In this blog, I take a look at the value of being able to model incline surfaces by diving into a mini-case study of a subway tunnel Wi-Fi network design showing the prediction results of a subway station using just a flat model, versus the prediction of the same subway using a model with incline surfaces. In it, you will see what a difference incline surfaces can make—both in performance and in cost.

Intro

In May 2017 we went on a whirl wind of a User Group tour that took us to three different cities across the United States: New York, Dallas, and Newport Beach. In each user group we always like to hear from our users – what they are up to, the challenges they see out there in the field, and of course to share any stories and insights they have from all of that.

One of the features that always catches people’s eye when they see our software is the incredible 3D modeling that comes with it.

After going to a good handful of conferences over the last 6 or 7 months, there seem to be a few questions/comments we get a lot. And fair enough, we're still kind of the 'new guys' on the Wi-Fi block. So, I figure if we get asked these questions at the shows, maybe they are questions others are interested in as well.... 

As of 2014, 934 stadiums worldwide have 30,000 or more seats: 228 in North America; 129 in Central and South America; 243 in Europe; 98 in Middle East and Africa; and 236 in the APAC region. The USA alone has 217 stadiums with 30,000 seats or more, and about two thirds of these are used primarily for American Football.