DesignWAVE is a unique SaaS solution offered by Optimos International that uses proprietary software (DesignWAVE Sculptor) and hardware (transmitters and receivers) to collect RF information from all existing and proposed antennas locations. By using this data in DesignWAVE Planner we are able to sculpt the RF network with an accuracy that no other tool can match. It’s a RF Propagation tool that works with measured data, not predictions. Our approach has been proven by independent measurements… but seeing is believing. There is no other other than can match our ability to reduce SiNR and Design or Optimize highly efficient RF networks.
Step 1 – We deploy up to 256 portable, battery operated transmitters at existing or proposed antenna locations.
Step 2 – Collect CW-type measurements using our proprietary receivers (any existing signals, e.g. Macro Network, are collected at the same time).
Step 3 – We import the data into our proprietary DesignWAVE Sculptor where we are able to apply a highly accurate antenna masking algorithm to the measured data.
Step 1 – Collect CW-type measurements using a typical network scanner. This can be done either by Optimos or anyone else.
Step 2 – We Import the data into our proprietary DesignWAVE tool where we are able to apply a highly accurate antenna masking algorithm to the measured data.
Step 3 – We sculpt the RF network. No more trial and error – you can actually see the impact on the measured data and be 100% confident in the changes.
We apply the principle of “Measure twice, cut once” to RF design and optimization.
oDAS where possible
DesignWAVE is the only technology that can provide accurate “outside in” designs. Wherever possible we look for opportunities to cover inside by using cost effective oDAS (Outdoor DAS) solutions. This approach has repeatedly proven to significantly lower the overall cost of large campus systems by reducing the overall number of sectors and antennas while still guaranteeing coverage and dominance.
We are able to design a better system for significantly less by using OUTSIDE IN approach where possible. No other tool can do that. Where “outside in” is not possible we are able to provide the most accurate indoor DAS and Small Cell Designs.
No separate benchmarking walks required. Our proprietary receiver will collect all of the available MACRO Network simultaneously while we’re collecting the data from the test transmitters. No separate deployment of teams and equipment to collect existing macro data.
Frequently Asked Questions
Is Optimos DesignWAVE the same as CW Testing?
No, although the collected data is similar to the data that is collected from a CW Transmitter and can be used in a similar way. We can measure multiple test transmitters simultaneously along with the macro, which gives us the ability to show SiNR plots along with the other standard plots.
Do the multiple TX devices operate on the same frequency or is there a need for frequency diversity during data collection?
The multiple transmitters operate on the same frequency (configurable per TX). The key to being able to do this is the proprietary code that is generated by each TX and received by the scanner. The units are small enough to locate multiple at each location thereby allowing us to model multiple bands simultaneously.
Can I import the tuned models into any standard prop tool?
Yes. The collected data can be used to tune standard propagation models.
If multiple TX's use the same frequency, what noise floor limit can you measure?
The limit is 19dB below the strongest signal.
Has this process been tested in indoor coverage solutions? (malls, arenas, stadiums, etc.)
DesignWAVE has been used (and proven to be highly accurate) in large variety of applications. From stadiums (where reflections and overlapping make predictive RF design very difficult) to small office applications and everything in between.
How does DesignWAVE approach "outside in" coverage solutions?
This is an area where we believe DesignWAVE is the ONLY viable solutions. We have successfully designed many campus systems because we have the ability to model a large number of outdoor locations to find the most effective way to coverage “outside in”, which is often a much more cost effective solution. No existing prediction tool can accurately model how an oDAS will penetrate the buildings around it. By placing multiple test transmitters in potential outdoor locations DesignWAVE can then measure exactly how each location performs indoors and outdoors.
How can the receiver identify multiple transmitters simultaneously?
Well that’s the secret sauce!! The transmitters attach a proprietary code to the signal that they transmit. The proprietary receiver is able to identify those codes and therefore know exactly where each specific signal is coming from.
Does DesignWAVE use Proprietary Hardware?
Yes. The Transmitters and Receivers are proprietary.
What tool do you use for the actual RF Design?
DesignWAVE is a proprietary design tool that enables us to create a design based on the measured data. A powerful antenna modeling algorithm is able to apply modeling changes (gains, beamwidths, power changes, tilts, azimuths, etc.) to the measured data so that we can see exactly what the impact of various designs would be. This is why DesignWAVE IS SO POWERFUL – we don’t have to “implement and see”… We KNOW how our changes will impact the measured data.
How is DesignWAVE different from CW
CW data is typically collected from a single transmitter by placing it in a ‘representative’ location and then collecting data in that specific location. That data is then applied widely using a propagation model. If you want to collect data in multiple locations, which is obviously better, you have to relocate the transmitter (and antenna) and collect more data. That process is laborious, time-consuming and expensive. Using proprietary hardware and software we are able to deploy a large number of small, lightweight, battery operated transmitters and collect all of the TX data (as well as the macro signal) in a single walk.
Our design tool is then able to apply a proven antenna masking algorithm to accurately simulate how antenna changes, azimuth, power, tilt, and various other design options will impact the collected data. This process results in a highly accurate design that not only guarantees that the system will perform the way it was designed but also significantly lowers the overall project cost by eliminating ‘over-designing’ and post implementation optimization.