Roadmap to 5G NR - Chapters 0??1?? to 1??8?? ??? WhatsApp Group -> https://lnkd.in/dF63kBVa ---- Roadmap to 5G NR --- 01 - Fundamentals ? https://lnkd.in/dp2YDtqv 02 - Air Interface ? https://lnkd.in/dPGvhkFt 03 - Downlink Signals and Channels ? https://lnkd.in/dPnRfJPG 04 - Downlink Transmission Schemes ? https://lnkd.in/dKZVQiPi 05 - Flow of Downlink Data ? https://lnkd.in/dEvTVQUW 06 - System Information ? https://lnkd.in/dHGRU7W6 07 - Uplink Signals and Channels ? https://lnkd.in/dyrp2n_m 08 - Uplink Transmission Schemes?? https://lnkd.in/dPBspjzm 09 - Beam Management ? https://lnkd.in/dQcPFsu6 10 - UE Measurements ? https://lnkd.in/dW59NJqc 11 - Measurement Reporting ? https://lnkd.in/d3aSgaYS 12 - Idle Mode Procedures ? https://lnkd.in/duJT48QJ 13 - Physical And Mac Layer Procedures ? https://lnkd.in/d4a43GUw 14 - Voice Services ? https://lnkd.in/dtnFkcxr 15 - Signalling Procedures ? https://lnkd.in/dTVceEeS 16 - Radio Network Planning ? https://lnkd.in/dkgvRxsU 17 - Dynamic Spectrum Sharing ? https://lnkd.in/d4yBjRe6 18 - UE Identities ? https://lnkd.in/df36hGCf
telecomhall
科技、信息和网络
#telecom #Community #RAN #Telco_Cloud #OpenSource #Tools #CM/PM/GEO #Transport # Core #AI #ML
关于我们
- 网站
-
https://www.telecomhall.net
telecomhall的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 2-10 人
- 总部
- Online
- 类型
- 自有
- 创立
- 1998
- 领域
- RF Planning Design、Optimization、Telco Cloud、Core、Transport、Community、Telecom、RAN、VFN和DevOps
地点
-
主要
OO,Online
telecomhall员工
动态
-
[Forum] Recommended Timer Values for VoNR Bearer #telecomhall_forum
-
[Forum] SOLVED ? - Required 5G standalone call flow #telecomhall_forum
-
The Future of 5G: Direct to Cell Technology?Explained Ashok Kumar
The Future of 5G: Direct to Cell Technology?Explained Read it understand the concept and know how starlink will work in India https://lnkd.in/gWgqkQm4
-
Telco Warning: Speed is no longer enough Sebastian Barros
TELCO WARNING: SPEED IS NO LONGER ENOUGH We used to race for speed. Each generation of mobile tech came with the promise of “faster.” And we delivered—brilliantly. Today, 5G median download speeds surpass 200 Mbps in many markets. That’s enough to stream 13 Netflix shows in 4K. Simultaneously. On paper, it’s a victory lap. But consumers? They barely noticed. Why? We’ve hit the point where speed is no longer scarce. The bottleneck has moved. Now it’s about consistency, reliability, and the invisible moments that shape the experience: that Zoom call glitch mid-pitch, the lost signal of Waze when you're late, the buffering wheel during a Champions League final. Only 19% of users care about speed. Two-thirds care about cost. And when asked what keeps them loyal, the answer is not Mbps but reliability. Opensignal’s Excellent Consistent Quality (ECQ) metric shows that churn drops dramatically when networks deliver even just 80% “good enough” experiences. Telcos are no longer judged by peak performance, but by predictability. This changes everything. 5G wasn’t meant to just be “faster.” It was meant to be smarter. Better coverage, higher reliability and consistent quality is the new battlefield. Nevertheless, many telcos still market Gs as horsepower in a world that’s already at the speed limit. The question Telcos should be asking isn’t “How fast is fast enough?” It’s “What matters now?” A good example is Fixed Wireless Access. FWA It’s not trying to win a speed race, but winning over consumers through ease, availability, and price. 5G should deliver value, not velocity. This is an important aspect to have in mind when we look at monetization and next developments like 6G.
-
-
What is the Optical gain equalizer? Mohammed Fouad Albhlwan
Telecommunications #Transmission Network #Optical Networks #R&D #Researcher #Microwave #IPCAM #CCTV #Surveillance System
?What is the Optical gain equalizer?? ?? DWDM signals eventually become unequal in power. This is because the gain characteristic of amplifiers and filters is not flat, because optical cross-connects do not have the same loss characteristics for all channels, or because dispersion is not the same for all channels. ?? As dropping and adding wavelengths takes place, the wavelengths added most likely will not have the same amplitude as those passing through. ??The end result is that all DWDM channels in the fiber do not arrive at the same optical strength at the receiver. ??So for the previous mentioned reasons the Gain Equalizer Module(GEM) is required. ? How does Optical gain equalizer work? ?? Optical gain equalization improves the signal-to-noise ratio, and thus it enhances the performance of optical amplifiers and allows for longer fiber spans between amplifiers. Therefore, gain equalization is a key function in long-haul applications. ?? It monitors each wavelength channel and selectively make amplitude adjustments on each channel to flatten the optical power spectrum within a fraction of a decibel. ? Types of the Optical gain equalizer? ?? It has two types static and dynamic. 1?? Static optical gain equalizer: ?? consist of filters with specific gain profiles that counteract the gain variability of channels in the DWDM mix. Such static equalizers, although inexpensive, are applicable to networks that are not expected to change. 2?? Dynamic Optical gain equalizer: ?? As network scalability may alter the gain level, dynamic equalization is able to adjust to this changing environment. ?? A dynamic gain equalizer is an opto-electronic feedback control sub-system that incorporates several components. Among them are an optical demultiplexer and multiplexer, power splitters, per channel variable optical attenuators (VOA), per channel optical power measuring mechanism, and a microprocessor which according to an algorithm performs per channel real-time gain management and VOA adjustments. ?? Based on this, the DWDM signal is demultiplexed, each signal is monitored and adjusted for gain with the VOA, and then all signals are multiplexed again. ??These devices continue to evolve, improve and become more compact and accurate. #DWDM #OTN #GEM #Telecom #VOA #AMP #Optical_networks #Optical_power
-
-
New 5G Uplink Speed Record! Ravindra Kumar Joshi
?? Ericsson, Telstra & Qualcomm Set a New 5G Uplink Speed Record! ?? Breaking News in Telecom | March 21, 2025 ?? In a historic breakthrough, Ericsson, Telstra, and Qualcomm have shattered records by achieving a blazing-fast uplink speed of 516 Mbps on a live 5G Standalone (SA) network using sub-6GHz spectrum. This innovation marks a major leap for mobile connectivity, enabling unprecedented speeds for real-time applications like live streaming, cloud gaming, and enterprise data sharing. ?? But What is Uplink Speed? Think of uplink speed like sending mail??—it determines how fast your device can upload data to the internet, whether it’s sending a video, backing up photos, or making a video call. Just as a slow postal service delays package delivery, a poor uplink speed can make your uploads frustratingly sluggish! ?? How Did They Do It? ?? Date: March 21, 2025 ?? Time: Conducted in real-world conditions on Telstra’s live network in Australia ?? Equipment Used: ? Ericsson’s RAN and Core 5G SA network ? Qualcomm’s Snapdragon X75 Modem-RF System ? Telstra’s 5G SA infrastructure ?? Technology: 5G SA + Uplink Carrier Aggregation (UL CA) ?? Why Does This Matter? ?? Faster Uplink: Essential for live streaming, cloud gaming, AR/VR applications, and high-res video calls. ?? 5G Evolution: A key step in unlocking the full potential of 5G Standalone (SA) networks worldwide. ?? Global Benchmark: Encourages other telecom operators to enhance 5G network performance. ??? Industry Reactions: ?? Telstra’s Network Executive, Nikos Katinakis: “This milestone sets the stage for next-generation connectivity, ensuring that Telstra remains at the forefront of 5G innovation.” ?? Qualcomm’s Senior VP, John Smee: “By leveraging our advanced Snapdragon X75, we are demonstrating the full power of 5G for global networks.” ?? This is just the beginning! As 5G networks evolve, 6G research accelerates, and telecom giants push the limits, what’s next for the future of connectivity? ?? What do you think about this milestone? How will faster uplink speeds change mobile connectivity? Drop your thoughts below! ?? #5G #TelecomNews #Ericsson #Telstra #Qualcomm #5GSA #MobileInnovation #CloudGaming #TechNews #Connectivity
-
-
The AI Scientist: Revolutionizing Telecom Operations Jinsung Choi
?? The AI Scientist: Revolutionizing Telecom Operations Sakana AI’s AI Scientist is an autonomous research system designed to automate scientific discovery, from hypothesis generation to peer-reviewed paper writing. Built on LLMs, it accelerates innovation by handling code generation, experiment execution, and knowledge synthesis—all at ~$15 per paper. While focused on AI/ML domains today, its applications can reshape industries like telecom AI-RAN Ops.?? https://lnkd.in/eJmFdpnm ?? Telecom NetOps’ Critical Challenges Telecom NetOps teams grapple with:?? Skill shortages: 86% of telecom leaders cite labor gaps in AI/ML, cloud architecture, and automation.?? Network complexity: Managing hybrid 5G/legacy infrastructure and real-time troubleshooting.?? Operational inefficiencies: Outdated monitoring tools, tool sprawl, and 30-50% manual tuning in RAN optimization. ? How the AI Scientist Transforms NetOps 1?? Automating Expertise?? Self-healing networks: Neural networks resolve faults faster, reducing reliance on senior engineers.?? Code generation: Standardized NetConf/YANG/any declarative templates cut deployment errors 2?? Democratizing Knowledge?? AI-powered co-pilots: Convert tribal knowledge into queryable databases, enabling junior staff to resolve L3-tier issues via natural language.?? Predictive maintenance: Computer vision guides technicians using historical failure patterns, slashing downtime. 3?? Real-Time Skill Augmentation?? GPU virtualization: Dynamic MIG partitioning on NVIDIA GH200 GPUs allows generalists to manage AI workloads, achieving >90% hardware utilization.?? Digital twins: Simulate network changes with very high accuracy, reducing hands-on training. ?? Potential Impact at Scale RF engineering gaps → Autonomous RAN optimization cuts manual effort ML expertise shortage → GPU resource orchestration drives cost savings on infrastructure. Compliance workload → Automated audit trails lead to faster regulatory submissions. These outcomes illustrate how AI Scientist augments human capability, bridges skill gaps, and accelerates digital transformation across NetOps. ?? The Future of NetOps While human oversight remains critical for edge cases, AI engineering assistant such as Sakana’s AI Scientist can demonstrate productivity gains in skill-constrained environments. As telecoms face mounting pressure from 5G rollout, AI-driven automation isn’t just optional—it’s existential.? ?? Your Turn How is your organization preparing for the AI-augmented future of network operations? AI-RAN Alliance #AI #RAN #AIRAN #RANOps #NetworkEngineer #AIScientist #AIEngineer #TelecomInnovation #AIOps #NetOps #5G #FutureOfWork
-