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Ericsson OPPO Transform Mobile Experiences with Differentiated Connectivity
Ericsson and OPPO are working together to make the mobile experience better by offering smarter, more personalized connectivity that uses on-device AI.
Key Highlights
- Ericsson OPPO collaboration empowers subscribers to select which applications use dedicated network slices in real-time.
- On-device AI is crucial for detecting connectivity issues by analyzing user experience data locally on the device.
- The Quality of Demand (QoD) API enables CSPs to move beyond "best-effort" internet, offering programmable, differentiated network experience.
- Ericsson and OPPO showcase how addressing user challenges collaboratively creates significant value for the entire ecosystem.
- Ericsson's portfolio, including advanced RAN, 5G Core, network slicing, and API exposure, provides the framework necessary for CSPs to offer unique, performance-guaranteed connectivity services.
The News
At MWC 2025, OPPO and Ericsson showcased an innovative use case built on the Android network slicing implementation. Find out more by clicking here to read the Ericsson blog by Frank Mueller, Global Partnership and Ecosystem Director, and Christian Jansson, Strategy Manager.
Analyst Take
As a result, the user’s phone can improve their network experience based on their specific needs, all while keeping privacy protected through secure communication. As such, users get a seamlessly upgraded network experience that's tailored just for them, with control over their data.
From my viewpoint, on-device AI is crucial for detecting connectivity issues because it can analyze real-time user experience data directly on the device, identifying subtle patterns or deviations from normal behavior that indicate a degradation in connectivity. This local processing allows for immediate identification of problems without sending sensitive user data to the cloud, significantly enhancing privacy.
When combined with privacy-centric API communication, the device can then share only the necessary, anonymized information with the network operator to recommend tailored network enhancements, ensuring that the user's specific needs are met while their personal data remains under their control and net neutrality is preserved. This intelligent, localized approach offers a fundamental shift from reactive, network-side diagnostics to proactive, user-centric optimization with a strong privacy foundation.
The Ericsson OPPO Solution
At MWC, Ericsson and OPPO demonstrated a new feature that lets subscribers instantly upgrade their mobile experience. The solution works by enabling a user to request and subscribe to a dedicated network slice directly from their communication service provider (CSP). OPPO achieved this by building specific software integrations that allow their devices to communicate with the CSP's backend systems.
For this to work, the CSP needs a Quality of Demand (QoD) API in place. This API facilitates the communication with the user's device and processes these requests according to a predefined system, ensuring a seamless and immediate improvement in the user's network experience.
I find that the QoD API is critically important for CSPs as it signifies a fundamental shift from simply providing standard internet access to offering highly customizable and differentiated network experiences. This transition is crucial for unlocking new revenue streams and maximizing returns on substantial 5G investments. Traditionally, CSPs have relied on selling generic data plans.
However, QoD APIs empower them to expose advanced network capabilities, such as guaranteed low latency or dedicated high bandwidth for specific applications, directly to developers and enterprises. This enables the creation of innovative "as-a-service" business models; for instance, a gaming company could pay a premium for a lag-free user experience, or a healthcare provider could ensure high-quality video for telemedicine, thereby generating significant new income for CSPs.
Furthermore, QoD APIs are instrumental in significantly enhancing user experience and fostering customer satisfaction. By allowing for dynamic, real-time optimization of network performance tailored to specific applications, users receive precisely the connectivity they need, exactly when they need it, leading to a much smoother and more reliable service. This translates to improved engagement for activities like seamless cloud gaming, uninterrupted live video streaming, or reliable communication for autonomous vehicles, ultimately boosting customer satisfaction and reducing churn.
Beyond this, QoD APIs facilitate broader innovation and ecosystem growth by simplifying the integration of advanced network capabilities for third-party developers, moving CSPs beyond mere infrastructure providers to become platforms for novel services. This approach also improves operational efficiency by providing CSPs with better insights into application-specific network demands, leading to smarter resource allocation and potential cost savings. Finally, the standardization efforts, such as the CAMARA project, ensure that applications leveraging QoD APIs can function across various CSP networks globally, simplifying development, accelerating adoption, and enhancing the overall appeal and scalability of these offerings.
AI Spurs 5G Ecosystem Collaboration
Through on-device AI capabilities, the Ericsson OPPO partnership highlights the vast potential that emerges when mobile devices and networks work together. By jointly tackling real user pain points, the partnership can generate significant value across the entire mobile ecosystem, while also providing substantial benefits directly to the end user. This collaborative approach also opens doors for other partners to introduce their own differentiated connectivity offerings.
The collaboration demonstrated that the result can be a more intuitive and responsive network experience that flexibly adjusts to individual needs. Consumers can enjoy these enhanced capabilities without needing any technical expertise. As a result, differentiated connectivity can help CSPs create services that meet the evolving demands of both consumers and businesses. I see Ericsson empowering these service providers to accelerate digital transformation, cultivate richer consumer applications, and boost their revenue by offering connectivity services that deliver predictable and reliable performance.
Burgeoning KSUM Alliance
Kerala Startup Mission (KSUM) is launching a Deep Tech Product Studio to unite startups and organizations focused on deep-tech research and product development, with Zoho as its inaugural industry partner. Through this collaboration, Zoho will cultivate synergies with participating entities, offer mentorship and guidance, pursue joint projects, and contribute to building a robust deep-tech ecosystem.
I find deep-tech research and product development are pivotal to deep-tech innovation because they drive breakthroughs in complex, science-driven fields such as AI, robotics, and advanced materials, solving high-impact challenges that traditional technologies cannot address. By investing in rigorous R&D, companies like Zoho, through initiatives like the KSUM Deep Tech Product Studio, can develop cutting-edge solutions that enhance automation, improve scalability, and create transformative products for industries such as healthcare, manufacturing, and logistics.
This focus can enable the creation of innovative technologies, harness collaborations with startups, and build a robust ecosystem, positioning organizations to stay ahead of competitors in delivering innovative, high-value CRM and enterprise solutions. Ultimately, deep-tech R&D fuels long-term competitiveness by addressing unmet needs and driving sustainable growth.
Looking Ahead
Overall, I believe that CSPs and partners such as device manufacturers are using AI capabilities to better combine their strengths, forging synergistic relationships that benefit the mobile ecosystem. CSPs can deliver competitively advantageous services thanks to advanced devices, while device manufacturers can offer their users the best possible experience with robust and integrated network connectivity. This collaboration creates enhanced user experiences and new business opportunities for all involved.
OPPO devices are pivotal to on-device AI and 5G service innovation due to their proactive integration of advanced technologies directly onto their smartphones. From my view, they are at the forefront of implementing on-device AI, as demonstrated by their work with technologies like Mixture of Experts (MoE) architecture, which enhances AI processing efficiency and allows for complex AI tasks to be handled locally, improving speed, battery life, and crucially, user privacy.
This on-device intelligence is key to dynamically optimizing connectivity, such as intelligently identifying when network limitations are affecting user experience. Furthermore, OPPO has been a significant player in 5G service innovation, particularly in network slicing, working collaboratively with Ericsson and Qualcomm to enable devices to access and use customized network slices for specific applications or enterprise needs. Their direct software integrations ("hooks") into network operator backends, combined with their focus on privacy-centric API communication, allow for a personalized and real-time network experience where users can choose to upgrade their connectivity for specific applications while maintaining control over their data, demonstrating how advanced devices are essential for unlocking the full potential of 5G's differentiated capabilities.
Ericsson's core technologies can work together to deliver differentiated connectivity with guaranteed performance from end to end. These include Radio Access Network (RAN) features, Software-Defined Networking (SDN), 5G Core network capabilities, comprehensive OSS/BSS (Operations Support Systems/Business Support Systems), network slicing, and edge computing. Combined with API exposure and an industry-harmonized framework, the Ericsson portfolio can enable CSPs to integrate advanced technologies. This not only can enable them to offer unique connectivity services but also to monetize their broader ecosystem.
Ron Westfall | Analyst In Residence
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.