Barcelona, Spain \u2014 At the 5G Futures Summit held by GSMA during\nMobile World Congress Barcelona 2026, GSMA released an official white\npaper titled \u201cGigauplink, Deterministic Latency, and Network Evolution\nfor the Mobile AI Era\u201d. The report examines trends in network\ndevelopment and evolution, application scenarios, and business models\nfor native voice services from operators in the mobile AI era. The paper\nalso outlines specifications for evaluating the AI Calling experience to\nenable operators to build networks focused on voice service quality and\nsignificantly enhance user experience.<\/p>\n
According to the report, thanks to the synergy between 5G-Advanced\n(5G-A) and artificial intelligence, mobile communication has entered the\nmobile AI era. Operators are now transforming native voice services,\ntransitioning from conventional voice calls to AI voice calls. By\nintegrating AI algorithms and computing capabilities into IMS voice\nnetworks, conventional calling services have evolved into more advanced\nand innovative offerings. This development will deliver a new generation\nof calling experiences that are stable, HD-quality, visual, intelligent,\nand efficient. The emergence of new services such as AI immersive\ncalling and AI interactive calling brings new demands on network\nconnectivity and AI capabilities.<\/p>\n
In the report\u2019s discussion, AI-based noise reduction is presented as\na primary application in AI immersive calling. By leveraging AI\nalgorithms to eliminate noise in various situations, operators can\ndeliver clearer call quality and more immersive communication\nexperiences to users. AI-based noise reduction algorithms can be applied\nin various conditions, including offices (noise level >40 dB),\nhighways (noise level >60 dB), and construction sites (noise level\n>80 dB). With this technology, users can enjoy high-quality voice\nservices without depending on specific terminal devices. Additionally,\nreal-time AI-based translation serves as a primary example of AI\ninteractive calling. With enhanced voice network capabilities, language\nbarriers can be overcome. AI Calling services facilitate voice\ntranscription or translation directly during video calls. In this way,\nthe service assists business professionals attending international\nconferences, travellers heading abroad, and individuals with hearing\nimpairments.<\/p>\n
The report also emphasises that operators can integrate AI\ncapabilities into native voice services to enhance business models. By\npaying for subscription services, users can enjoy various AI-based\nadditional features when making regular calls. This supports operators\nin transitioning from single traffic-based monetisation models to more\ndiverse experience monetisation.<\/p>\n
In the AI Calling scenario, measuring user experience becomes a new\nchallenge for operators. Therefore, the report systematically defines an\nAI Calling experience evaluation model. Beyond the three experience\nindicators for conventional HD voice services\u2014Quality of Experience\n(QoE), Quality of Service (QoS), and coverage\u2014the AI Calling evaluation\nmodel adds three new indicators: AI immersive experiences, AI\ninteractive experiences, and Quality of Intelligence (QoI). Immersive\ncalls can enhance user experience in basic voice calls, for example\nthrough significant improvements in Mean Opinion Score (MOS) and\nSignal-to-Noise Ratio (SNR). Meanwhile, interactive calls require the\nnetwork to have new interaction channels, such as Data Channel (DC) and\nVideo Channel (VC), which facilitate additional features such as screen\nsharing, real-time translation, and interaction with AI agents. The QoI\nindicator becomes an important parameter for measuring the intelligence\nlevel of voice networks. Its measurement includes AI model quality, AI\nmanagement flexibility, the network\u2019s ability to understand user and\nnetwork conditions, and the inclusivity of AI services. All these\naspects form the important foundation for improving the quality of voice\nservice experience.<\/p>\n
Currently, the International Telecommunication Union (ITU) has\ninitiated a project named P.AI-MOS to evaluate user experience in\nmultimodal AI applications. On the other hand, proposals regarding voice\nexperience standards for AI Calling remain in the research stage. To\naccelerate the development of such experience evaluation models, GSMA,\ntogether with industry partners, invites all stakeholders to collaborate\nin formulating rules that link Key Quality Indicators (KQIs) in AI\napplications with Key Performance Indicators (KPIs) in networks. This\neffort also accelerates the development of standards for mobile AI\nservice experiences, whilst providing stronger support for the\ndevelopment of the AI industry in mobile communication.<\/p>", "url": "https:\/\/jawawa.id\/newsitem\/gsma-launches-ai-calling-native-application-experience-specifications-at-mwc-2026-1773417279", "image": "" }, "sponsor": "Okusi Associates", "sponsor_url": "https:\/\/okusiassociates.com" }