telecomhall

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

?? telecomHall Community ?? Telecom made easy and free! ? (Share to your friends ??) ?? Community WEB FORUM: https://www.telecomhall.net/top The BIGGEST forum to ask your questions in any Telecom area. Join dozens of thousands friends in telecom NOW, it's easy and quick! ?? WhatsApp/Telegram Group: https://www.telecomhall.net/t/whatsapp-telegram-telecomhall-groups/987 Global groups for 5G NR, LTE, 3G, Devices, Transport, Core and much more Besides WEB FORUM and GROUPS in WhatsApp and Telegram, we have A LOT MORE for you ??: ? Free Tools: https://www.telecomhall.net/tag/tools Know and use Boda - the ultimate free telecom tool to parse CM and PM, and more useful telecom tools! ?? Telecom Resources: https://www.telecomhall.net/t/resources-links/6403 huge links for the best external resources for you to improve your telecom skills ??? Youtube: https://www.youtube.com/channel/UCs4CqOa5GPmQ4DNiAcGvcag/playlists _Watch selected videos by our Community in our PlayList at Youtube _ ?? Facebook: https://www.facebook.com/telecomhall Join our Community page at Facebook ?? Twitter: https://www.Twitter.com/telecomhall Join our Community page at Twitter ?? LinkedIn: https://www.dhirubhai.net/groups/3004275/ Grow your network - contact the best experts in LinkedIn! ?? Free Training (at Forum): https://www.telecomhall.net/tag/training-free Amazing articles explaining complex topics in a simple way ?? Telecom Tips (at Forum): https://www.telecomhall.net/tag/tips Exclusive tips to enhance the way you currently work! ? E-mail: [email protected] Any issue, suggestion or anything - contact us directly here.

网站
https://www.telecomhall.net
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

telecomhall员工

动态

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    1 Fundamentals ? https://lnkd.in/dUnFU9Vs 2 Downlink Air-Interface ? https://lnkd.in/dx8hsR85 3 Downlink Multiple Antenna Technologies ? https://lnkd.in/du2MMcVR 4 Downlink Signals ? https://lnkd.in/dCCJZfpY 5 Downlink Physical Channels ? https://lnkd.in/dZ7X8bPw 6 Downlink Transport Channels ? https://lnkd.in/dyV_C9W3 7 Downlink Channel Type Mappings ? https://lnkd.in/dEqRycPx 8 Downlink Control Information ? https://lnkd.in/dwTYNG9z 9 System Information ? https://lnkd.in/dP5S2Rkc 10 Uplink Air-Interface ? https://lnkd.in/d9dwN2Z9 11 Uplink Multiple Antenna Technologies ? https://lnkd.in/dhST3AUm 12 Uplink Signals ? https://lnkd.in/djXvX28s 13 Uplink Physical Channels ? https://lnkd.in/dp2VtNTC 14 Uplink Transport Channels ? https://lnkd.in/dbt3maBZ 15 Uplink Channel Type Mappings ? https://lnkd.in/dFkBuUgQ 16 Uplink Control Information ? https://lnkd.in/d-M5rixJ 17 Carrier Aggregation?? https://lnkd.in/dRRwTcF9 18 UE Capabilities ? https://lnkd.in/dWhctePB 19 Bit Rates ? https://lnkd.in/dJJ_WTqU 20 Measurements ? https://lnkd.in/dZZJZiYZ 21 Measurement Reporting ? https://lnkd.in/dKuJe7A8 22 Idle Mode Procedures ? https://lnkd.in/dUshTExA 23 - Physical and MAC Layer Procedures ? https://lnkd.in/duxW_rpR 24 - Protocol Stacks ? https://lnkd.in/dYHKBEWv 25 - Signaling Procedures ? https://lnkd.in/dhm74iV2 26 - Multimedia Broadcast Services ? https://lnkd.in/dGaiQ2ak 27 - Heterogeneous Networks ? https://lnkd.in/d4naUdQN 28 - Network Planning ? https://lnkd.in/d6yHxjnd 29 - Self Organizing Network ? https://lnkd.in/ddTSdP9R 30 - UE Identities ? https://lnkd.in/dYWqddVY End of Roadmap to LTE - Now already started Roadmap to 5G

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    Fine-tuning an AI model isn't the best way to tailor LLMs...??? #telecomhall_fun

    查看Lasse Rindom的档案,图片

    AI Lead at BASICO | Podcast Host: The Only Constant | Digital Thought Leader | Public Speaker | IT Strategy | Intelligent Automation

    Fine-tuning an AI model isn't the best way to tailor LLMs... ?? When it comes to making an AI model work for your specific needs, there are three effective approaches: 1?? ?????????????? Provide the language model with pre-defined information and instructions that makes it always respond the same way. 2?? ?????? Use code to fetch information from external sources - like auto-indexed PDFs or even web lookups. This in principle is a dynamic expansion of 1, Context, by enabling the AI model to know more than it knows. 3?? ???????????????????? '????????????????' More than just info and raw data, AI models require instructions. By chaining together models you can add logical steps that utilize 1, Context, and 2, RAG, in sequence. This enables the AI to both know more and know it better through specialized role orchestration. The common thread? ?? Work with the P in GPT - Pretrained. You need to test if the models have a previous, pretrained understanding of your use case to make them productive. Once that’s clear, you can layer your data onto their foundational knowledge. You might have a lot of data, but you do not have enough to fine tune a GPT-4 size model. Work with the P ?? #ai #technology #chatgpt #generativeai ???#Connect?or?#Follow?for a mix of serious insights and lighthearted humor about everything IT and business. ?? Listen to The Only Constant podcast

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    Oracle Cloud ?? Amazon Web Services (AWS) ?? ORACLE x Microsoft Azure ?? #telecomhall_fun

    查看Anthony Monthe的档案,图片

    Cloud Benchmarker at Cloud Mercato

    3 of the 5 largest providers, together... hand in hand? ?? Oracle seals partnerships with Azure and AWS. For what exactly? Let's take a closer look. ?? Oracle Cloud x Amazon Web Services (AWS) ?? Oracle is preparing its entry into the cloud leader's platform by making its databases and Exadata directly accessible in AWS. Note that the service will be more widely deployed in 2025. The promises? Optimized connection between Oracle databases and AWS applications, simplified billing via AWS Marketplace, and most importantly, native integration with AWS analytics and AI services, notably Bedrock. No more juggling between different platforms! On the other side. ?? ORACLE x Microsoft Azure ?? The partnership with Microsoft is already well-established. Oracle database services run directly in Azure datacenters, offering minimal latency and deep integration with Microsoft services, notably Azure OpenAI. ??What's the common thread between these two alliances? A desire to simplify business operations with unified support and a seamless experience. Oracle recognizes that multicloud has become the norm and is adapting to customer needs. ?? The feedback would be positive ?? Major groups welcome these initiatives that allow them to deploy their strategic workloads more efficiently. Is #multicloud becoming... simple? ??

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    The Role of Distributed Data Architectures in AI-RAN

    查看Jinsung Choi的档案,图片

    The Role of Distributed Data Architectures in AI-RAN Data Strategy as a Cornerstone of the AI-RAN The foundational discussion revolves around enabling autonomous networks by implementing distributed data architecture principles, specifically focusing on the needs of the AI-RAN. The integration of data mesh principles into RAN operations provides a framework for effectively managing data across multiple telecom domains, such as RAN, core, customer, and IoT. Nokia Bell Labs Consulting, one of the AI-RAN Alliance co-founders, provides crucial insights into how decentralized data ownership and a data fabric enable agile data processing and real-time AI-driven decisions for telco networks. https://lnkd.in/ePzfrEzU This focus on distributed data architectures isn't just technical innovation; it aims to reduce operational costs and enhance service quality, all backed by a robust data strategy that's essential for the AI-RAN. As we move forward, distributed data platforms are key to supporting the AI-RAN vision, driving efficiency, agility, and intelligence across the RAN ecosystem. The AI-RAN Alliance emphasizes the importance of such data, data infrastructure and is actively working on initiatives to support this. Refer to the diagram below for more details. If you are interested in this topic, we warmly welcome your participation in the AI-RAN Alliance at any time. https://ai-ran.org What are your thoughts on distributed data strategies for AI-driven autonomy in RAN? #AIRAN #AIforRAN #DataforAI #AIandRAN #AIonRAN #Data #Nokia #BellLabs #DataMesh

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    Exploring the Logical Structure of the RRU (Remote Radio Unit) Laden Ahmed Aljaafari

    查看Laden Ahmed Aljaafari的档案,图片

    Telecommunications | Optical Transmission | Microwave Transmission | RF Planning | Optimization

    ?? Exploring the Logical Structure of the RRU (Remote Radio Unit) ?? ?? Remote Radio Units (RRUs) play a crucial role in modern wireless communication systems. Let's dive into the logical structure of an RRU to understand its key components and functions. ? ? High-Speed Interface Unit: - Facilitates data exchange with the Baseband Unit (BBU). - Transfers data between cascaded RRUs using CPRI ports. - Ensures smooth coordination and seamless integration within the network. ? Signal Processing Unit: ??? Uplink Receive Channel: - Performs down-conversion to convert received signals into intermediate frequency analog signals. - Converts analog signals to digital using an ADC. - Processes intermediate frequency digital signals with filtering and gain control. ??? Downlink Transmit Channel: - Separates clock, control, and data signals from the BBU. - Combines and filters multiple routes of downlink signals. - Converts digital signals to analog using a DAC. - Up-converts RF signals to transmit frequency bands. ??? Control Module: - Manages RRU configurations and software. - Collects alarms and reports board status. - Executes configuration commands from the BBU. - Handles RRU operation and maintenance. ? PA (Power Amplifier): - Amplifies power of multi-carrier and low-power RF signals. - Ensures signal strength and quality for optimal performance. ? LNA (Low Noise Amplifier): - Performs low-noise amplification on received signals. - Enhances system sensitivity and minimizes signal degradation. ? Duplexer and Dual Duplexer: - Multiplexes signals on RF channels transmission and reception signals. - Filters and separates transmitted and received signals. By doing so, they enable the use of the same antenna for transmission and reception. Laden Al Jaafari Understanding the logical structure of RRUs gives us a deeper appreciation for the intricate processes involved in wireless communication systems. These units work harmoniously to ensure reliable connectivity and efficient signal handling. Laden Ahmed Aljaafari #2g #3g #4g #5g #ran #telecommunications #WirelessCommunication #RRU #Networking

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    6G Geopolitical Split Will Help No One

    查看Sebastian Barros的档案,图片

    Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate

    6G Geopolitical Split Will Help No One In the 1990s, the mobile industry was divided between GSM and CDMA. This split caused higher costs, delayed innovation, and slowed global mobile adoption by almost a decade. Devices were incompatible across regions, networks couldn’t interoperate, and progress was fragmented. Now, as we look toward 6G, we risk repeating history—but the stakes are much higher. Today, 8.5 billion users and 20 billion IoT devices rely on a global, standardized ecosystem. Yet, growing geopolitical tensions could lead to a Western vs. Eastern split. What makes wireless networks so unique is that they are the only technology where the entire world has come together to create the largest and most ubiquitous system in human history. Through global standardization, we’ve built something extraordinary: a network that connects nearly every person and machine on Earth, at unparalleled scale and affordability. This collaboration has driven innovation, reduced costs, and bridged the digital divide in ways no other technology has achieved. A geopolitical split in 6G would jeopardize this progress by: 1. Fragment networks and make them region-specific. 2. Increase costs for manufacturers, operators, and consumers. 3. Slow innovation and disrupt global connectivity. The lesson from the GSM/CDMA era is clear: fragmentation helps no one. Standardization has enabled seamless, scalable, and affordable networks, driving decades of progress. A unified global standard for 6G isn’t just preferable—it’s essential for the future of connectivity. Let’s ensure 6G continues to connect the world, not divide it.

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    Good insight on AT&T's decision to phase out NB-IoT. Benoist Sébire

    查看Benoist Sébire的档案,图片

    Bell Labs Fellow

    AT&T has announced its decision to phase out NB-IoT. The challenge with 3GPP's approach to defining limited-capability devices lies in the method of altering an existing design by removing or altering functions, with the hope of producing a more affordable version in the future. A bit like attempting to create an appealing small tree by cutting branches off a large one. A more effective strategy would be a modular design, where a shared foundation is built with cost-effective devices in mind, and where advanced capabilities are achieved by adding modules.

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