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Tag Archives: Wireless Infrastructure Association

New DAS Technology Targets Enterprise Market

By Ernest Worthman

Executive Editor
AGL Small Cell Magazine

DALLAS — May 25, 2016 — Another segment of the wireless market that is getting a lot of interest is the “middleprise.” Traditionally, this segment has been ignored by carriers because the ROI of such environments isn’t cost effective for them. But now, Whoop Wireless, which exhibited at the Wireless Infrastructure Show, has pushed the cutting edge by offering a solution for this “middle market, which is defined by buildings between 50,000 and 400,000 square feet. In reality, these structures make up most of the DAS and small cell market. Without carrier interest, the cost to equip such buildings falls on the building’s owners, and it is generally a relatively expensive undertaking – typically $2-3 per square foot, or more.

Now, Whoop has a solution that brings the cost down to around $1 for that same square foot. By developing a product that takes the high-powered electronics that are traditionally housed in carrier sites and moves them to the tower.

How they have done this is by developing silicon from innovators in Silicon Valley that deviates from the standard DAS design paradigm, and they leveraged the famous Moore’s Law. While the technology is proprietary, the approach is novel. Rather than taking the RF and using high-power hardware to push out to the antenna, this system uses a very highly integrated amplifier at the antenna to push out the RF. But that isn’t unique. What is unique is the design of the amplifiers and the distribution architecture that ensures the same ERP at each antenna within the DAS network.

The system also offers very low overall system noise level because the signal path to the amplifier, which is now at the antenna, is all low-power RF. In effect, this places much of the intelligence, such as gain control, in the node, rather than the head end. This is achieved by using a very sophisticated programmable controller that is constantly self-optimizing, which ensures optimal operating efficiency in real time of the critical operating parameters.