Viavi Solutions launched CPRIAdvisor, a remote RF spectrum monitoring system that addresses a wide range of antenna deployment options in heterogeneous networks.
Developed in partnership with tier one mobile service providers, it offers the ability to monitor and troubleshoot RF conditions around the clock for any cell site with fiber fronthaul.
As a highly scalable solution, CPRIAdvisor can support a macro cell with a smaller number of fronthaul fiber links; a large centralized radio access network (C-RAN) or distributed antenna system (DAS) with hundreds of fronthaul links. Depending on the network configuration, it can save mobile service providers up to 50 per cent in terms of time and cost compared to current practices in place for monitoring and troubleshooting.
To stay ahead of continually increasing mobile bandwidth demand while managing cost and efficiency, service providers are expanding and transitioning from a typical distributed radio access network (RAN) architecture to a C-RAN network topology. In C-RAN, base band units (BBUs) are co-located at a remote facility, and connected via fiber links – based on the Common Public Radio Interface (CPRI) or Open Base Station Architecture Initiative (OBSAI) standards – to a substantial number of remote radio heads (RRHs) spread around the network.
Where C-RAN offers network and operational efficiencies, it also creates an opportunity for mobile service providers to improve quality of experience by proactively monitoring the spectrum used by subscribers, and performing proactive maintenance and remote troubleshooting of service-affecting issues like RF interference in a more effective way.
In addition, CPRIAdvisor increases RF visibility by performing continuous monitoring of the mobile spectrum. This allows remote access to expedite maintenance and problem resolution.
“As service providers diversify their access networks to expand capacity and accommodate new services like IoT, they need scalable and flexible methods to monitor performance,” said Jessy Cavazos, Industry Director of Test & Measurement for Frost & Sullivan. “The ability to use RF over CPRI technology to monitor and troubleshoot the network, while increasing spectral efficiency with a C-RAN architecture, helps mobile operators keep costs in check and preserve QoE.”
“Mobile service providers are facing ever increasing, ever complex challenges trying to assure quality of experience while keeping an eye on cost containment and workforce efficiency,” explained Kevin Oliver, VP and GM, Converged Instruments and Virtual Test, Viavi Solutions. “In order to address this, and support their diversifying RAN with a single solution, Viavi has partnered with Tier-1 mobile service providers worldwide to develop CPRIAdvisor. It’s a welcome addition to Viavi Solutions’ world class portfolio of RF test solutions, including CellAdvisor and InterferenceAdvisor.”
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...