Case Study
Global telco saved 20% on deployment costs with cost-effective 5G RAN design services
OUR CLIENT
This US Tier 1 telecommunications company is considered a pioneer in the industry after implementing an innovative operations model that helps keep costs low and customer service high. The company serves nearly 117 million customers and generates approximately US$78 billion annually.
THE CHALLENGE
Planning a 5G RAN in a tier 1 U.S. market
The client needed help planning a 5G radio access network (RAN) that could be implemented rapidly with a cost-effective price tag and high-quality service. The telecom company expected its network planning partner to use an Agile deployment approach as well as various scaling methods.
THE TRANSFORMATION
Designing a state-of-the-art 5G network using the most innovative technologies
After assembling a team of radio frequency (RF) experts, UST designed a cost-effective RAN with:
- 5G new radio (NR) using 28GHz and 39GHz in the 800 MHz frequency band - for a more responsive mobile experience.
- Sub-6 GHz LTE/NR RF - to carry more data than signals in the 2.4 GHz range.
- A capacity of 100 GB per square mile - to boost fiber capacity, accelerate data transmission speeds, reduce latency, and simplify network management.
- Four-transmit four-receive (4T4R) antenna arrays - to provide decorrelation between antenna signals.
- A 32-antenna-element design with four MIMO streams per layer - for faster data transmission speeds.
- Beamforming - providing an array of antennas that can send a signal in a specific direction.
- Millimeter wave (mmWave) model tuning - to boost transmission speeds and data capacity in dense urban areas.
- A cellular site analysis - to help the company evaluate, select, and prioritize proposed cell tower sites.
THE IMPACT
Saving 20% on network deployment costs
With a comprehensive 5G RAN design vetted by our proprietary mPulse platform, a multi-technology, vendor-agnostic analysis, and reporting tool, the telecom company deployed the new network much faster than initially anticipated. The accurate propagation model and optimal design resulted in 20% cost savings across capital and operating costs.