How Open Ran Transforms Mobile Networks

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Summary

Open RAN (Open Radio Access Network) is transforming mobile networks by introducing open standards and modular designs that allow mobile operators to mix and match equipment from different vendors, making networks more flexible, scalable, and cost-efficient. This shift moves away from proprietary, single-vendor setups and enables cloud-based, AI-driven architectures for faster deployment and smarter connectivity.

  • Embrace modularity: Build your network with interchangeable hardware and software components so you can expand or upgrade more easily and avoid being locked into a single vendor.
  • Integrate AI automation: Use intelligent controllers and automation tools to manage network functions and adapt in real-time to changing usage patterns and traffic demands.
  • Promote vendor diversity: Choose equipment and software from a range of suppliers to boost innovation, reduce costs, and strengthen your supply chain.
Summarized by AI based on LinkedIn member posts
  • View profile for Alali Khalaf

    5G RAN & Cloud-Native Engineer | Kubernetes & Telco Cloud | VoLTE/IMS | 4G/5G Performance | 3GPP Standards

    7,611 followers

    𝗢𝗽𝗲𝗻 𝗥𝗔𝗡 From BBU to Open RAN, My Mental Shift as a Network Engineer When I started in radio engineering, I thought of a mobile site as simple: BBU + RRU + antennas 🙂 But when I began learning about 𝗢𝗽𝗲𝗻 𝗥𝗔𝗡, I realized the whole architecture is shifting and I had to unlearn and relearn everything. Here's how I mentally mapped the journey from a typical NSA Option 3X network to 𝗢𝗽𝗲𝗻 𝗥𝗔𝗡 (and beyond): ➀ Upgrade eNB to ng-eNB: If I want to reuse LTE in 5G Standalone (SA), I must first upgrade my legacy eNBs to next-gen eNBs (ng-eNBs). This allows the LTE sites to interwork with the 5G Core (5GC). This step doesn’t require disaggregation yet, but it lays the foundation. ➁ Start Open RAN with gNB Disaggregation: Now I focus on 5G sites. Here, Open RAN begins: ➜ I disaggregate the gNB into CU (Central Unit), DU (Distributed Unit), and RU (Radio Unit). ➜ This is no longer a single vendor box. Now I can use multi-vendor hardware and software. The DU connects to RU via eCPRI, not CPRI enabling flexibility and cost reduction. ➂ Go Virtual, Enter vRAN: I don’t need proprietary hardware anymore. Instead, I host the DU and CU as software on COTS servers at cell sites or edge datacenters., This is vRAN and it's how Rakuten and Verizon started. ➃ Scale via Telco Cloud, Cloud RAN: If I centralize and host these functions in a private telco cloud, I move to Cloud RAN. Now my RAN software lives in a regional cloud, managing many DUs centrally. This boosts resource pooling, energy efficiency, and automation. ➄ Add SMO & RIC (The Intelligence Layer): Now I’m ready to bring automation and intelligence. I deploy: ➜ SMO (Service Management and Orchestration) for configuration, healing, and lifecycle management. ➜ Non-RT RIC for policy and AI-based decisions (rApps) ➜ Near-RT RIC for real-time RAN control (xApps) over E2 interface 🗅 Note: RIC works only in 5G 𝗢𝗽𝗲𝗻 𝗥𝗔𝗡 gNB, not in legacy EPC/CPRI systems. You can find my article below👇🏼 , I dove deep into O-RAN architecture & functions. That's it :) Eng. Alali Khalaf #OpenRAN #5GCore #vRAN #CloudRAN #RIC #SMO #Telecom #RadioEngineer #5GArchitecture #NSAtoSA

  • The AI-RAN Taking Shape I'm thrilled to announce our latest research contribution that fundamentally transforms how we design, deploy, and test key functionalities of cellular networks. Our new paper "ALLSTaR - Automated LLM-Driven Scheduler Generation and Testing for Intent-Based RAN" represents three major industry firsts: ⚡ First-Ever Automated Scheduler Generation: We've developed LLM agents that automatically convert research papers into functional code, generating 18 different scheduling algorithms directly from academic literature using OCR and AI. No more months of manual implementation in ns-3 or Matlab! Automatically generated schedulers are automatically deployed in a live network as dApps through a CI/CD pipeline - without the need to change a single line of code in the gNodeB implementation (CU or DU);  ⚡ Intent-Based Scheduling: Network operators can now express high-level requirements in natural language ("prioritize users with bursty traffic") and ALLSTaR automatically translates these into optimized scheduling policies according to operator’s intent. ⚡ World's First O-RAN Compliant AI-RAN Testbed: All validation conducted on X5G with AutoRAN, production-grade, multi-vendor 5G infrastructure with GPU acceleration, AI-for-RAN and AI-and-RAN capabilities, demonstrating real-world viability at scale. This work also introduces a methodological paradigm shift: instead of implementing one algorithm at a time, we can now systematically evaluate a vast body of scheduling literature in production-like environments. We're moving from manual, months-long integration processes to automated, intent-driven networks that adapt in real-time. This is the Open RAN and the AI-RAN vision - and a pathway toward 6G that builds on our national strengths and open ecosystem. Full paper: https://lnkd.in/eTNWPNRR Open6G www.open6g.us #ORAN #AIRan #OpenRAN #5G #WirelessResearch #AI #MachineLearning #Telecommunications #Research Our brilliant team: Maxime Elkael Michele Polese Reshma Prasad Stefano Maxenti Office of the Under Secretary of Defense for Research and Engineering NSF AI-EDGE Institute National Telecommunications and Information Administration (NTIA) Qualcomm

  • View profile for Rafael E De La Torre Medina

    RAN-TN Engineer/ PIM & Interference Hunting/ RF O&M / RAN O&M / TN-OTN O&M

    853 followers

    📡 RAN: The Evolutionary Core of Mobile Networks (and Its Role in Private 5G) The Radio Access Network (RAN) is the essential bridge connecting mobile users to the core network. What used to be a rigid, site-based architecture has evolved into something far more flexible, scalable, and intelligent. Today, there are four main approaches in this evolution: 🔸 D-RAN (Distributed RAN): The traditional model, where the baseband unit (BBU) and the radio (RRH) are colocated at each cell site. It ensures low latency but limits scalability and increases operational costs. 🔸 C-RAN (Centralized RAN): Centralizes several BBUs in one location, connecting radios via fronthaul links. This improves efficiency, enables inter-cell coordination, and reduces energy consumption. 🔸 vRAN (Virtualized RAN): Moves RAN functions to software running on commercial off-the-shelf (COTS) hardware. It supports automation, flexibility, and cost reduction. 🔸 Open RAN: The most disruptive architecture. It defines open and standardized interfaces, allowing components from multiple vendors to work together. This fosters innovation, vendor diversity, and network customization. 🏭 So, how does this relate to Private 5G? In a big way. Industrial, logistics, healthcare, and energy organizations are increasingly deploying private 5G networks to gain full control over their connectivity. To do this efficiently, they’re turning to vRAN and Open RAN, which allow them to: ✅ Customize networks to specific needs ✅ Integrate multi-vendor solutions ✅ Scale without proprietary lock-in ✅ Automate with built-in network intelligence (AI/ML) The future of mobile networks isn't just 5G/6G — it's modular, virtualized, and open. And it all starts with a smarter RAN. #RAN #OpenRAN #vRAN #5G #Telecom #Private5G #NetworkArchitecture #MobileNetworks

  • View profile for Nitin Gupta

    5G & O-RAN Architect | Guiding 46K+ Engineers to Master LTE , 5G NR, AI-Ml In Telecom , DevOps for Telecom

    46,364 followers

    🎯 Deep Dive: 🌐 O-RAN Lower Split Architecture Explained 🛤️ 📢 Have you ever wondered how O-RAN architecture simplifies and optimizes network functions? Here's a step-by-step breakdown of this transformative network design: 1️⃣ O-CU (Central Unit): SDAP (Service Data Adaptation Protocol): Handles QoS flow in the User Plane (U-plane). Acts as an interface to the PDCP layer. PDCP (Packet Data Convergence Protocol): Manages header compression, encryption, and data delivery in sequence. Supports bearer control and handover procedures for the Control Plane (C-plane). RRC (Radio Resource Control): Manages connection establishment, configuration, and release. Oversees system information broadcasting and paging of idle-mode UEs. 2️⃣ O-DU (Distributed Unit): RLC (Radio Link Control): Ensures error correction and offers three operational modes: TM, UM, AM. MAC (Medium Access Control): Handles scheduling, HARQ processes, and logical-to-transport channel mapping. High-PHY (High-layer Physical): Manages modulation, coding schemes, and communicates with MAC through the FAPI interface. 3️⃣ O-RU (Radio Unit): Low-PHY (Low-layer Physical): Responsible for time-critical RF processing and beamforming. Connects to O-DU via the FAPI interface. 4️⃣ Interfaces: F1 Interface: Connects O-CU and O-DU, carrying both control and user plane data. FAPI Interface: Links O-DU and O-RU for PHY layer communication and management. 5️⃣ Functional Layers: U-plane: Handles user data transmission. C-plane: Responsible for control signaling transmission. 6️⃣ Benefits: ✅ Enables flexibility and scalability in deployment. ✅ Supports disaggregation—allowing multi-vendor network setups. ✅ Optimizes RAN deployment for use cases and traffic demands. 🌐 Why It Matters: O-RAN’s modular and open approach is the foundation of next-gen networks, enabling virtualization, centralization, and support for 5G and beyond technologies. What are your thoughts on O-RAN's impact on network evolution? Let’s discuss below! ⬇️ #ORAN 🏗️ #5GNetworks 🌐 #RANOptimization

  • View profile for Abhishek Singh

    Senior Technology & Business Executive | Innovator | Client Partner | Leading global teams in Telecom, Networks & Technologies | IEEE Senior Member | Senior Forbes Technology council | Member tmforum |

    5,050 followers

    📡 Open RAN Architecture: Redefining the Future of Mobile Networks Ever wondered how telecom giants expand 5G faster and cheaper across cities? That’s the power of Open RAN. Instead of being locked into expensive, single-vendor hardware, Open RAN allows operators to mix and match components, just like building with LEGO blocks. The result? Faster deployment, lower costs, and unparalleled flexibility. Open RAN is revolutionizing how mobile networks are built, moving from rigid, hardware-heavy systems to cloud-native, AI-driven architectures that evolve as fast as technology itself. 🔄 How RAN Evolved Over Time ➡ Legacy RAN (2G–3G) – Closed systems, hardware-dependent, single-vendor control. ➡ Centralized RAN (4G) – Shared baseband hubs improved efficiency but still lacked openness. ➡ Virtualized RAN (5G early) – Software-defined, running network functions on cloud servers. ➡ Open RAN (5G–6G) – Fully disaggregated, AI-powered, multi-vendor ecosystem enabling agility, intelligence, and scale. 🧠 Inside the Open RAN Architecture 1️⃣ Non-RT RIC (RAN Intelligent Controller) – Oversees long-term policy, design, and configuration using orchestration tools like ONAP or MANO. 2️⃣ Near-RT RIC – Handles real-time decisions like mobility, QoS, and interference with AI-driven control loops. 3️⃣ Multi-RAT CU Stack – Separates control (CU-CP) and user (CU-UP) planes for efficient data flow. 4️⃣ Distributed Unit (DU) – Executes time-critical tasks like scheduling and MAC/RLC management close to users. 5️⃣ Radio Unit (RU) – Manages physical and RF layers, connecting antennas to the network via open front-haul. 🌍 The Bigger Picture Open RAN isn’t just about lowering cost, it’s about opening innovation, empowering operators to: - Scale faster and deploy new services quickly. - Integrate AI, automation, and analytics seamlessly. - Foster vendor diversity and reduce supply chain dependency. Open RAN is not the future, it’s here. It’s already powering the networks connecting you today. 💡 Follow Abhishek Singh for expert insights on how Open RAN, AI, and automation are shaping the next generation of global connectivity. #OpenRAN #5G #TelecomInnovation #AI #CloudNative #NetworkAutomation #Telecommunications #RAN #6G #EdgeComputing #ONAP #TelecomTransformation

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