Qualcomm Technologies, a leader in edge AI and in cellular communications, says it’s driving a new era of network automation with the integration of AI into its Qualcomm Edgewise Suite, offering powerful tools for mobile network operators (MNOs) to enhance the management of Radio Access Networks (RAN). Qualcomom’s AI-driven approach is poised to revolutionize network efficiency, performance, and operational cost savings.
Intent-Based Autonomous Networks: The Future of RAN
The Qualcomm Edgewise Suite leverages AI and machine learning (ML) to enable intent-based autonomous networks. This allows engineers to set high-level objectives, leaving the AI to optimize and execute tasks autonomously. For instance, a network engineer can ask the AI to improve energy efficiency without sacrificing more than 10 percent of download speed for underserved users. This hands-free optimization not only simplifies complex tasks but also boosts overall network performance, Ofir ZemerVP, Product Management, Qualcomm Israel, said in a blog post.
Simplifying Network Management and Optimization
By embedding generative AI into the Qualcomm Edgewise Suite, operators can automate root cause analyses and decision-making processes. Engineers can issue simple natural language prompts to identify and correct issues like sleeping cells, freeing them from tedious manual investigations. Qualcomm’s AI capabilities streamline repetitive tasks, ensuring faster and more accurate troubleshooting.
Accelerating rApp Development and Deployment
Qualcomm’s AI toolkit empowers engineers to design and deploy new network applications, or rApps, without deep coding expertise. By automating rApp development, Qualcomm allows operators to respond more rapidly to evolving network demands. For example, a team can create rApps to manage traffic surges in specific areas, enhancing user experience and optimizing network resources.
Multi-Vendor, Multi-Technology Compatibility
Qualcomm’s expertise extends beyond AI innovation to multi-vendor and multi-technology support. This flexibility allows MNOs to upgrade their networks without abandoning legacy infrastructure or locking into single-vendor ecosystems. The AI tools in the Qualcomm Edgewise Suite are applicable across traditional, virtualized, and Open RAN architectures, ensuring widespread compatibility.
Reducing OPEX and Enhancing Network Scalability
AI-powered automation from Qualcomm reduces operational expenses (OPEX) by handling tasks like performance monitoring, configuration management, and traffic forecasting. This predictive capability allows MNOs to anticipate capacity needs and proactively address network issues, ensuring scalable and future-proof network infrastructures.
By integrating AI into the Qualcomm Edgewise Suite, Qualcomm Technologies is enabling MNOs to enhance operational efficiency, lower costs, and future-proof their networks through cutting-edge automation and intelligent decision-making.
