5G Network Implementation

𝗧𝗵𝗲 𝗜𝗜𝗼𝗧 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸: 𝗔𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗟𝗲𝗻𝘀 𝗼𝗳 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 Standards are the foundational "language rules" of #IIoT. While classic #Fieldbus and supervisory protocols have historically facilitated communication at the device and plant levels, newer standards bridge interactions with #cloud-based business systems. 𝗠𝗤𝗧𝗧 𝗮𝗻𝗱 𝗦𝗽𝗮𝗿𝗸𝗽𝗹𝘂𝗴 𝗕: 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆 The lightweight #MQTT protocol, originally conceived for bandwidth-limited and unstable network conditions, has become a go-to solution for IIoT connectivity. It uses a Pub/Sub model that only sends data during event changes, reducing network congestion and cutting data transfer costs. Its strong quality-of-service (QoS) levels ensure message delivery in harsh network conditions, an ideal feature for industrial environments. #SparkplugB builds on MQTT, introducing consistent data structures and payloads that allow for real-time data monitoring and device tracking. Its hierarchical topic namespaces improve data organization, facilitating data management across several industrial systems. 𝗡𝗲𝘄 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀: 𝗠𝗼𝘃𝗶𝗻𝗴 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗣𝘂𝗿𝗱𝘂𝗲 𝗠𝗼𝗱𝗲𝗹 The layered Purdue model, which is traditionally used in industrial systems, finds challenges when adapting to the volume, variety, and velocity of Industrial Internet of Things (IIoT) data. New architectures are emerging to address these limitations: ▪ 𝗛𝘂𝗯-𝗮𝗻𝗱-𝗦𝗽𝗼𝗸𝗲: This model centralizes data publication through hubs, such as MQTT brokers, before distributing it to multiple applications, consolidating data, and enriching it with contextual metadata. Multiple consumers can access it without overwhelming individual systems. ▪ 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗡𝗮𝗺𝗲𝘀𝗽𝗮𝗰𝗲 (𝗨𝗡𝗦): #UNS is structured through hierarchical topic organization, organizing access to IIoT data. This approach is based on standards like #ISA-95, logically categorizing data to simplify its discovery and usability. 𝗧𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗗𝗮𝘁𝗮𝗢𝗽𝘀 𝗮𝗻𝗱 𝗔𝗜 #DataOps is a discipline that promotes a data-centric culture, breaking down #IT and #OT silos, establishing data governance frameworks for clear data ownership and access, ensuring accessibility, consistency, and usability, and aligning business and technical teams with data-driven objectives. Through data contextualization, where data is tailored to specific use cases, #AI improves data quality, automates system data mapping, and turns it into actionable intelligence. Source: https://t.ly/VPT9C ***** ▪ Follow me and ring the 🔔 to stay current on #IndustrialAutomation, #IndustrialSoftware, #SmartManufacturing, and #Industry40 Tech Trends & Market Insights!

IoT Connectivity in 2025. A wide range of technologies — new ones being introduced, old ones being phased out. The backbone of IoT is clearly entering its next phase. For years, we relied on technologies originally designed for consumers, such as 2G and 3G - faithful servants and vital foundations for the industry’s development. But as they are now being phased out, a new generation of IoT-specific technologies is gaining traction — and with it comes both opportunity and complexity. The reality? The pace of change varies greatly by region. And for our customers with global footprints, this uneven rollout makes it even more critical to stay informed about where and when technologies are being phased out. Just as vital is choosing the right technology for new deployments — or when replacing existing ones. As always, new tech drives hype. There’s a lot of noise around 5G-based technologies like RedCap, 5G NSA, and 5G SA. But beneath the buzzwords, what are we really seeing? Understandably, this is one of the most common questions we get from our customers. And while there’s far more to say than what fits in a single post, here’s my brief take:    🔹 4G is still the backbone of global IoT Cat-1 and LTE-M are here to stay — scalable, reliable, and available nearly everywhere. It's the safe choice for those needing global reach today. 🔹 5G RedCap is promising, but not production-ready It’s an exciting bridge between low-power and high-performance use cases, but full 5G Standalone rollouts are still a few years out. 🔹 Satellite IoT (NTN) is coming — slowly Ideal for remote coverage, but with technical and regulatory hurdles, mainstream adoption will take time.   So what’s the advice we give our customers? ✅ Use what works today. Proven technologies like LTE-M and Cat-1 are excellent choices — no need to wait for the future. ✅ Match the tech to your real-world needs. Don’t chase trends. Focus on coverage, latency, cost, and power consumption. ✅ Plan for the 2G/3G shutdown now. Don’t get caught off guard. Audit your fleet and migrate in time. ✅ Design for flexibility. Modular hardware and remotely updatable SIMs offer critical agility as networks evolve. ✅ Start small. Scale smart. Pilot early, learn fast, and grow confidently. For those who want to know — what’s available now, what’s coming, and what suits which use case — I dare say our experts have put together one of the most comprehensive guides out there. It’s based on the real questions we get and the insights we’ve gathered over a long time. 👉Download our latest tech guide here https://lnkd.in/dUT_4ZTA

𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐈𝐨𝐓 𝐰𝐢𝐭𝐡 𝐌𝐐𝐓𝐓 𝐚𝐧𝐝 𝐊𝐚𝐟𝐤𝐚 In the age of Industry 4.0, IoT streaming data pipelines are the backbone of real-time analytics and intelligent decision-making using AI. Integrating MQTT and Kafka bridges the gap between lightweight device communication and robust data streaming, empowering diverse IoT applications. 𝐖𝐡𝐲 𝐌𝐐𝐓𝐓 𝐚𝐧𝐝 𝐊𝐚𝐟𝐤𝐚? ✅ MQTT: A lightweight messaging protocol for communication in constrained networks with limited bandwidth and compute resources using a publish/subscribe model, ideal for IoT applications. Perfect for connected cars, industrial IoT, manufacturing, energy, and logistics. ✅ Kafka: A distributed streaming platform designed for high-throughput, fault-tolerant processing of real-time data streams. It is used to build real-time streaming data pipelines and real-time streaming applications. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 Here’s how you can connect MQTT with Kafka: ➡️EMQX Kafka Bridge: Real-time, bidirectional data bridging. ➡️HiveMQ Enterprise Extension for Kafka: Enables bi-directional data flow. ➡️Confluent MQTT Proxy: Simplifies integration (limited to MQTT 3.1.1). ➡️Kafka Connect: Enables communication with any MQTT-compliant broker. ➡️Custom Development: Flexible but requires significant resources. 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐀𝐜𝐫𝐨𝐬𝐬 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 🏭 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 ✅ Machine connectivity for real-time data collection and monitoring. ✅ Digital twins to simulate and optimize production processes. ✅ Condition-based maintenance to improve operational efficiency. 🔋 𝐄𝐧𝐞𝐫𝐠𝐲 ✅ Optimize electric vehicle charging with dynamic grid systems. ✅ Monitor and control energy usage in smart grids for efficient resource distribution. ✅Enable predictive maintenance of energy infrastructure, reducing downtime. 🚛 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 ✅Real-time fleet tracking and route optimization. ✅Predictive maintenance for vehicles and assets. ✅Warehouse automation powered by real-time IoT insights. 🚗 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐈𝐨𝐓 ✅ Real-time telematics for monitoring GPS, fuel usage, and driver behavior. ✅ Predictive maintenance to prevent vehicle failures. ✅ Intelligent traffic systems to reduce congestion and improve efficiency. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐜𝐨𝐦𝐛𝐢𝐧𝐢𝐧𝐠 𝐌𝐐𝐓𝐓 𝐚𝐧𝐝 𝐊𝐚𝐟𝐤𝐚 By combining MQTT's lightweight efficiency with Kafka's high-performance data processing, businesses can: ➡️ Simplifies real-time IoT data collection, storage, and processing. ➡️ Scale effortlessly to millions of devices ➡️ Build fault-tolerant, future-proof IoT architectures across industries. ✅At RisingWave, both MQTT and Kafka are supported as sources and sinks. Want to Learn More? Follow me (Fahad Shah) and these amazing people: ➡ Andreas Vogler ➡ Kai Waehner ➡ Kudzai Manditereza ➡ Sebastián Trolli ➡ Dylan DuFresne What are your thoughts on integrating MQTT and Kafka in IoT systems? 👇 #IoT #MQTT #Kafka #RealTimeAnalytics #AI #risingwave

Dynamic Spectrum Sharing (DSS) was one of the smartest transition tools in the move from 4G to 5G. At its core, DSS allowed operators to run LTE and 5G NR on the same spectrum carrier, dynamically assigning resources based on real-time demand. That mattered because operators didn’t need to wait for fully cleared or newly dedicated 5G spectrum to start expanding 5G coverage. Instead, they could reuse existing low-band LTE assets and accelerate rollout while continuing to support 4G users. 3GPP standardized DSS as part of the LTE-to-NR migration path, which is why it became such an important enabler in early 5G deployment. ⭕ In the early 5G phase, coverage was often more valuable than peak speed. DSS helped operators launch 5G faster, extend reach in existing bands, and make better use of spectrum already in service. It gave the industry a practical bridge between legacy LTE networks and next-generation NR. ⭕ But DSS also came with trade-offs. Sharing the same carrier between LTE and NR introduces signaling overhead, scheduler complexity, and coexistence constraints. In practice, this means DSS can reduce spectral efficiency compared with dedicated 5G spectrum. ⭕ Technically, who decides whether the next shared resource goes to LTE or 5G? The coordinated base-station scheduler does — dynamically, based on real-time traffic demand, user load, and coexistence constraints. ⭕ Operators that rely heavily on DSS can provide broader 5G coverage, but they may not always offer the strongest 5G speeds or capacity compared to cleaner, dedicated NR deployments. This approach slightly impacts the performance of both 4G LTE and 5G NR, by about 25% and 15%, respectively. However, this performance reduction is often justified by the availability of the full spectrum for both networks. So DSS was not the final 5G destination — it was the transition strategy that made the large-scale launch of 5G possible. 📷 Based on Samsung technical white paper #5G #DSS #Spectrum #LTE #Telecom #Wireless #NetworkStrategy #RAN

🚀 Optimizing LTE Network Performance: PRB-Based vs User Number-Based Load Balancing. In the world of mobile network optimization, achieving a balanced network load is essential for maximizing performance and ensuring a seamless user experience. Today, I want to dive into two powerful load balancing strategies that are fundamental to Huawei LTE equipment: 🔧 1. PRB-Based Load Balancing Physical Resource Block (PRB) allocation is crucial for managing how efficiently we utilize the available spectrum. In this strategy, load balancing is done based on the PRB utilization across two LTE carriers. Here's why it matters: Optimized PRB Utilization: By monitoring the PRB usage on each carrier, the system can move users to less congested carriers when one is nearing capacity. Increased Throughput: This allows for more efficient use of the available bandwidth, ensuring that no carrier is overburdened, and throughput remains high even in high-traffic conditions. Example: If Carrier A is using more PRBs than Carrier B, the system dynamically shifts some users to Carrier B, ensuring that both carriers perform optimally. 🔧 2. User Number-Based Load Balancing This strategy focuses on balancing traffic based on the number of users connected to each LTE carrier. Here’s why it’s crucial for network stability: User Distribution: When a carrier is heavily loaded with users, user experience can degrade, leading to higher latency and slower speeds. By shifting users across carriers with lower user counts, the load is distributed more evenly. Improved Quality of Service (QoS): This ensures that users on underutilized carriers continue to have a high-quality experience, while avoiding overloading of any single carrier. Example: If Carrier A has 100 users but Carrier B only has 50 users, the system will proactively shift users to Carrier B, improving performance for everyone. 🧠 PRB vs User Number Load Balancing: Which One to Use? PRB-Based is ideal when optimizing throughput and spectrum efficiency. It directly improves the quality of the connection by focusing on how resources are used within the network. User Number-Based is great for maintaining QoS and ensuring that no carrier is overloaded. It’s particularly useful in environments with high user density or during peak traffic hours. 💡 Real-World Benefits with Huawei LTE: Increased network capacity by dynamically allocating users and PRBs. Reduced congestion, especially during high-traffic times. Better user experience, even under heavy load, by ensuring fair distribution across LTE carriers. These dynamic load balancing techniques are what keep modern LTE networks performing at their best. In my work with Huawei equipment, I’ve seen how these strategies can dramatically improve network performance and user satisfaction. #Huawei #LTE #LoadBalancing #NetworkOptimization #CarrierAggregation #Telecom #TelecomEngineering #NetworkPerformance

🔍 Who will gain access to the valuable NTN Band 256 (S-band 2 GHz) – the US or Europe? 🔎 The current S-band licences in Europe expire in 2027 – Europe is planning new allocations for #Iris2 and 5G-NTN. Band 256 is the key frequency band for #5G #satellite IoT – who will gain access after 2027. Viasat and EchoStar currently hold Band 256 in Europe – but the EU wants its own satellite networks. The 3GPP NTN Band 256 covers 1980–2010 MHz (uplink) and 2170–2200 MHz (downlink) in the S-band and is the most important frequency band for 5G-NTN satellite IoT and Direct-to-Device. Currently, the European licences for this band are allocated to two operators: - Viasat (formerly Inmarsat) holds 1980–1995 MHz / 2170–2185 MHz - EchoStar Mobile (formerly Solaris Mobile) holds 1995–2010 MHz / 2185–2200 MHz. These licences expire in May 2027 – the European Commission has tasked the Radio Spectrum Policy Group (RSPG) with evaluating scenarios for use after 2027. The #RSPG 2024 Opinion strongly favours retaining the S-band for satellite NTN and positions it as the EU’s flagship band for direct-to-device, IoT NTN and broadband. With #Iris2, Europe is planning its own secure satellite network (290 LEO + MEO satellites, launch from 2029) involving Deutsche Telekom, Eutelsat, SES and OHB, financed with €10.6 billion (€6 billion from the EU, €4 billion from the private sector). European operators such as OQ Technology and Sateliot are already working on 5G satellite IoT networks in the S-band and have been granted test licences. Starlink has acquired 2 × 15 MHz of S-band spectrum in Europe through a contract with EchoStar and supports band n256 for Direct-to-Cell. However, after 2027, the EU will reassess the allocation – with a clear focus on strategic autonomy and its own European networks rather than dependence on US technology. With Iris2, the EU aims to serve public authorities, the military and private users, and to close dead zones in Europe and Africa. How will you resolve the spectrum issue for 5G-NTN in the S-band after 2027 – European-only or shared with US operators? Like👍| Share ➡️| Comment 💬| Stay Informed 📚| Order the LPWAN Cookbook 📖|

The rapid expansion of #5G and #6G networks and the anticipated evolution toward 6G technology necessitate the timely allocation of additional spectrum resources. A key focus is the 3GPP 6GHz band (6,425–7,125 MHz) n102 & n104, which is essential for enhancing network capacity and coverage in India. Telecom operators have urged the Indian government to allocate this spectrum for International Mobile Telecommunications (IMT) and integrate it into the National Frequency Allocation Plan (NFAP) to facilitate 5G expansion. The 6 GHz spectrum, alongside existing sub-6 GHz bands, plays a crucial role in enabling carrier aggregation, allowing seamless integration of low-band (700 MHz, 850 MHz, 900 MHz) for better indoor coverage and uplink performance, and mid-band (3–5 GHz) for enhanced capacity. Despite its importance, a portion of the 6 GHz band is currently used for satellite operations by the Indian Space Research Organization (ISRO), presenting regulatory and technical challenges. To address this, the Wireless Planning and Coordination (WPC) wing of India’s Ministry of Communications has initiated a strategic evaluation to assess the feasibility of allocating this band for mobile services. Additionally, the Cellular Operators Association of India (COAI) has reinforced the need for expedited spectrum assignment to support nationwide 5G deployment. Recent India government actions indicate progress in spectrum allocation, with the Indian government auctioning 141 MHz of spectrum across multiple bands, including 800 MHz, 900 MHz, 2.1 GHz, 3.3 GHz, and 26 GHz in June 2024. However, for India to fully capitalize on 5G and future 6G advancements, an urgent policy decision on the 6 GHz spectrum is required. Allocating this band to commercial mobile services will not only strengthen 5G networks but also lay a strong foundation for 6G, ensuring India's leadership in next-generation telecommunications.

Just checked on one of our customers' IoT devices that's been running flawlessly in the Arctic Circle for 763 days straight. No technician visits. No downtime. Reliable connectivity shouldn't be newsworthy. But in the IoT world, it is. The reality? Most connected devices experience 3-5 outages per year. Each outage costs an average of $9,000 in lost revenue and recovery costs. For device builders, connectivity failures aren't just technical problems – they're existential threats. We've spent 10+ years obsessing over this problem at Hologram because we believe your brilliant innovations deserve better than to be held hostage by unreliable networks. That's why we built our Outage-Proof platform: • Multi-carrier redundancy across 550+ networks • Automatic carrier switching when performance drops • 99.95% uptime guarantee (we actually put it in writing) • Coverage in 190+ countries on a single SIM I've just published our comprehensive "IoT Connectivity Reliability Guide" – a 15-page breakdown of the most common failure points and how to architect around them. It includes our proprietary 7-point checklist that our customers use to evaluate any connectivity provider (even if it's not us). Reply "GUIDE" in the comments and I'll send it directly to your inbox. What's the most frustrating connectivity issue you've faced with your IoT deployment? I'd love to hear your war stories.

Resource Units and Distributed Resource Units in Wi-Fi Modern Wi-Fi networks, especially Wi-Fi 6 (802.11ax) and Wi-Fi 7 (802.11be), face the challenge of efficiently sharing spectrum among multiple users. The traditional one user per channel approach wastes opportunities when devices have small data demands. This is where Resource Units (RUs) and Distributed Resource Units (DRUs) come in, mechanisms that slice the spectrum into flexible portions so multiple users can transmit simultaneously. A Resource Unit (RU) is a portion of the frequency spectrum assigned to a single user in an OFDMA system. Instead of dedicating the entire channel to one device, Wi-Fi can divide a 20, 40, 80, or 160, and 320 MHz channel into smaller blocks. Each block is an RU, which can range in size from 26 tones up to 996 tones in Wi-Fi 6, and larger in Wi-Fi 7. RUs allow multiple devices to transmit in the same time slot but on different frequency slices, improving spectral efficiency and reducing latency. For example, in an apartment, several phones, laptops, and IoT devices can upload small packets simultaneously rather than waiting for an entire channel to be free. A Distributed Resource Unit (DRU) is an RU whose subcarriers are distributed across the channel rather than contiguous. DRUs are introduced in Wi-Fi 7 to increase flexibility and improve frequency diversity. By spreading the allocation over the channel, DRUs allow the access point to adaptively assign portions to users in a way that mitigates interference and multipath fading. DRUs improve OFDMA scheduling flexibility and frequency diversity, helping Wi-Fi 7 serve ultra-low latency traffic and high-throughput users more efficiently, while operating alongside features like Multi-Link Operation. Why RUs and DRUs are Needed -Multi-user efficiency: Not all devices need the full channel. Small RUs allow low-data devices to transmit without blocking high-demand users. -Reduced latency: By allowing simultaneous transmissions, devices avoid queuing delays which is critical for gaming, AR/VR, and industrial IoT. -Frequency diversity: DRUs spread signals over the channel, reducing the impact of fading and interference. Wi-Fi 6 (802.11ax) introduced OFDMA and RUs. Fixed RU sizes include 26, 52, 106, 242, 484, and 996 tones. The standard defines allocation rules, preamble signaling, and subcarrier mapping to ensure orthogonality and minimize interference. Wi-Fi 7 (802.11be) introduces DRUs and wider channels up to 320 MHz, supporting distributed allocation of subcarriers for multi-link operation. DRUs require precise timing, accurate channel state information, and low processing latency to ensure multiple transmissions align correctly and avoid collisions. In short, RUs and DRUs allow more devices to share spectrum efficiently, reduce delays, and optimize performance in dense environments. Without them, modern Wi-Fi would struggle to support the explosion of simultaneous users and high-bandwidth applications.

Many companies approach us with ambitious plans for global IoT deployments spanning multiple continents. Their vision is clear, their use case is solid, and their connectivity partner (that's us😁) can provide global coverage. But then comes the crucial question of what hardware they are using. All too often, we discover they've selected modules that can only operate in specific regions (for example EU versions that can't connect in US or Asia) This immediately creates a disconnect. When selecting cellular modules for IoT devices, regional compatibility is fundamental. It determines whether your device can operate globally. Many of the companies we speak to don't realise that selecting the wrong hardware can completely derail deployment plans. But the confusion doesn't end with regional compatibility. Your module choice also defines: - Technology capabilities (2G/3G/4G/5G, NB-IoT, Cat-M1, etc.) - Power consumption profiles - SIM technology compatibility (traditional SIM vs. eSIM vs. embedded/MFF2 SIM) Here’s what we emphasise for our customers: 1. Know your deployment regions - This fundamentally determines what hardware will work for your solution 2. Understand module compatibility - EU-specific modules won't connect in North America or Asia Pacific, regardless of your SIM card 3. Always include SMS support - If something goes wrong and the data channel stops working, SMS provides a critical backup channel to push updates or reset your device remotely The connectivity world can be complex, but with proper planning, your IoT deployment can truly be global. Our team also works closely with all of our customers and supports them every step of the way to ensure they operate seamlessly across all their target markets. So far we’ve helped 429 customers globally so we’ve got a good idea of what works and what doesn’t. 😉