#Spain #Barcelona #GSMA #MWC #AI Calling

GSMA Unveils New Experience Specifications for AI Calling Applications

During the 5G Futures Summit held at MWC Barcelona 2026, the GSMA released an insightful white paper titled "Gigauplink, Deterministic Latency, and Network Evolution for the Mobile AI Era." This pivotal document outlines crucial trends and developments in native voice services, adapting them for an era dominated by mobile AI.

The white paper emphasizes the seamless integration of 5G-A technology with AI, heralding a new age for mobile communications. Traditional voice call services are being transformed into advanced AI-powered calling experiences. By incorporating AI algorithms into the native IMS voice networks, conventional voice calls are evolving into enhanced services featuring innovative applications. This shift is set to provide users with next-generation calling experiences that are not only stable and high-definition but also rich, intelligent, and efficient.

Emerging AI calling services, such as immersive AI calls and interactive AI calls, come with new connectivity requirements and advanced AI capabilities. The white paper showcases AI-driven noise reduction as a key feature of immersive AI calls. By deploying AI algorithms to filter out environmental noise in various settings—be it offices, streets, or construction sites—operators can offer clearer voice experiences, enabling users to enjoy high-quality voice services without specialized hardware.

Furthermore, real-time translation facilitated by AI stands out as a notable application in interactive AI calls. Enhanced voice networks are gradually overcoming longstanding language barriers, enabling AI calling solutions to deliver accurate voice transcription and translation during video calls. This is particularly advantageous for international business professionals attending online conferences and travelers exploring foreign nations, as well as individuals with hearing impairments.

The white paper stresses that operators can harness AI capabilities within native voice services, thereby rejuvenating their business models and enhancing the daily calling experience for users. Subscribers can enjoy AI-powered features during standard calls, allowing operators to transition from a one-dimensional revenue model based on traffic to a multifaceted monetization strategy centered on user experience.

In the scope of AI calling scenarios, assessing user experience poses new challenges for telecommunications operators. The document meticulously sets forth specifications for an AI calling experience evaluation model. In addition to the traditional indicators of user experience—including Quality of Experience (QoE), Quality of Service (QoS), and coverage—three new metrics have been introduced: immersive AI experiences, interactive AI experiences, and Quality of Intelligence.

Immersive AI calls are poised to significantly enrich user experience. For example, evaluations of average opinion ratings and signal-to-noise ratios could see marked improvements. Meanwhile, interactive AI calls will necessitate the addition of new interaction channels and capabilities in the network, such as Data Channels and Video Channels, to provide enhanced experiences like screen sharing, real-time translation, and interaction with virtual agents.

Quality of Intelligence is a critical metric to evaluate the intelligence component of the voice network. This involves the integration of high-quality AI models, flexible AI management, and an AI-driven understanding of network status and user needs. These factors are essential for ensuring a robust foundation for enhancing the voice experience.

The International Telecommunication Union (ITU) has initiated a work project dubbed P.AI-MOS, aimed at evaluating user experiences with multimodal AI applications. Concurrently, standards proposals related to AI call voice experiences are under development. To facilitate swift progress in establishing user experience evaluation models, the GSMA and industry partners advocate for collaborative efforts that align key quality indicators of AI applications with network performance metrics.

These collective endeavors intend to pave the way for establishing comprehensive standards for mobile AI service experiences, thereby providing robust support for the advancement of the mobile AI industry.