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GSMA Introduces Revolutionary AI Enhanced Calling Specifications

During the recent 5G Futures Summit hosted by GSMA at the Mobile World Congress (MWC) 2026 in Barcelona, significant advancements were announced that promise to transform mobile communication through native AI applications in calling. The GSMA released a comprehensive white paper titled "Gigauplink, Deterministic Latency, and Network Evolution for the Mobile AI Era," outlining crucial trends, application scenarios, and business models for operators.

The white paper emphasizes the synergistic potential between 5G technologies and AI, heralding the dawn of mobile communications designed to integrate artificial intelligence deeply into everyday voice services. This transformation signals a departure from traditional voice calls, enhancing them with AI capabilities, thus creating services that offer superior audio clarity and smarter interactions. As operators integrate advanced AI algorithms into their voice networks, conventional methods of communication are set to evolve into next-generation, immersive AI-driven calling experiences.

Enhanced User Experience

One of the key highlights of this white paper is the achievement of AI-assisted noise reduction within immersive AI calls. This innovative feature utilizes AI algorithms designed to minimize background noise from various environments, ensuring clearer conversations. Regardless of noise levels—whether in a busy office, on a bustling street, or at a construction site—operators can now provide high-quality native calling experiences, independent of user devices.

Moreover, real-time translation capabilities have been introduced as a standard feature of interactive AI calls. This advancement not only overcomes language barriers in international communications but also provides valuable assistance in diverse scenarios such as online business meetings, travel conversations, and support for hearing-impaired individuals.

Innovative AI Features

Operators have a remarkable opportunity to incorporate AI functionalities into their native voice services, revitalizing their business models and enhancing the everyday experience of making calls. By implementing subscription models that include AI-enhanced features in traditional calls, operators can shift from a one-dimensional revenue approach to a multi-faceted experience monetization strategy.

However, with the integration of AI into calling experiences, operators face a new challenge concerning user experience measurement. The white paper systematically addresses this issue by defining specifications for evaluating AI calling experiences. In addition to conventional metrics such as Quality of Experience (QoE), Quality of Service (QoS), and coverage for HD voice services, it introduced three additional performance indicators focused on AI: immersive experience, interactive experience, and Quality of Intelligence (QoI).

A New Era for Network Operators

Studies suggest that immersive calling can significantly enhance user satisfaction, as indicated by higher Mean Opinion Scores (MOS) and better Signal-to-Noise Ratios (SNR). In the context of interactive calling, networks must adapt with new interactive channels and capabilities—including data and video channels—enabling improved experiences, such as screen sharing, real-time translation, and engaging with virtual agents.

QoI, a pivotal metric in assessing the intelligence of voice networks, encompasses various factors, including quality AI models, flexible AI management, real-time user and network condition recognition, AI-based decision-making, and inclusive AI service capabilities. These elements are crucial in ensuring that networks can reliably enhance voice experiences for users.

Furthermore, the International Telecommunication Union (ITU) has begun a project called P.AI-MOS to evaluate user experiences in multimodal AI applications, while standards for AI calling experiences are still under research. To expedite the development of experience assessment models, GSMA and industry partners are advocating for collaborative efforts aimed at establishing rules that link key quality indicators (KQIs) for AI applications to key performance indicators (KPIs) for the networks. Such initiatives aim to foster the rapid formulation of AI mobile service standards and robust industry advancement for mobile AI solutions.

In conclusion, the GSMA’s white paper serves as a pivotal guide for operators as they usher in a new era of mobile communication, aligning AI technologies with user needs to create enriched, intelligent calling experiences that not only meet but exceed user expectations. The future of voice communication looks undeniably promising as industry standards evolve and technological innovations unfold.