Technology Category
- Networks & Connectivity - Gateways
- Networks & Connectivity - RF Transceivers
Applicable Industries
- Buildings
- Telecommunications
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Digital Twin
- Virtual Reality
Services
- System Integration
- Testing & Certification
About The Customer
RF2B is a wireless design services company that offers custom antenna design and validation services across various air interfaces and bands. The company's mission is to enhance quality and shorten time to market for radio frequency integrated circuits developers, manufacturers, and satellite system providers. RF2B provides validation services based on a disruptive system level methodology and turn-key development of application reference radio frequency integrated circuit designs. The use of fast, accurate simulation is key to its efficiency. The company's customer applications span across mobile, medical, trackers, gateways, home automation, and gaming accessories.
The Challenge
RF2B was tasked with developing a phased array antenna proof of concept design for small cell Citizens Broadband Radio Service (CBRS) base stations at 3.5GHz for its customer Menlo Micro, a developer of high-performance RF MEMS switch integrated circuits. The challenge was to achieve enough azimuth and elevation beam steering range with enough grating lobe suppression and higher efficiency. This required high-level design analysis to decide the number of columns and rows, element type, element spacing, angular step size, and amplitude tapering for the antenna array. Another challenge was the overall complexity of the design, requiring a time-efficient antenna array simulation and design methodology that included the feed network. The antenna array also needed to be optimized in its mechanical environment, including the enclosure and radome.
The Solution
Altair Feko was used to address these challenges. It comes with a feature called finite array analysis, plus a built-in script that synthesizes the antenna array. These features significantly sped up the high-level trade-off analysis due to model building acceleration and lower memory consumption leading to much quicker simulation times, which is critical during the high-level design phase. At earlier stages, the various blocks were modeled with multiport S-parameters which integrated well into the Feko non-radiating network schematic function. Careful trade-off analysis for materials used and separation to the antenna array used when adding the antenna enclosure and especially the radome by Feko analysis made it possible for the optimized antenna array design.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Commercial Building Automation Boosts Energy Efficiency
One of the challenges to building automation is the multitude of non-interoperable communications protocols that have evolved over the years. Buildings have several islands of automation. Bridging the islands of different automation without losing the considerable investment in each specialized control network is the main focus in this solution.