Common reasons for high levels of latency and long round-trip times include: Decreasing the network latency is a key network optimization technique. : Measuring your network: Read Microsoft 365 performance tuning using baselines and performance history and Performance troubleshooting plan . It involves design requirements on topology, protocol, bandwidth allocation, etc.. Topology requirement can be maintaining a minimum two-connected network against any failure of a single link or node. an overworked router with high CPU or memory utilization). It allows you to proactively identify trends, issues, and measure improvements over time. Ooklas data-driven articles and interactive content provide insight into network and connectivity performance around the globe. A small failure in the core network may lead to a large part of the radio network becoming non-functional . Remember to be realistic in your goals, as incremental gains in network optimization metrics require more budget. However, if you want to get a clear picture of networking performance within your organization, you will find that there are a significant number of parameters and components that are involved. General & Introductory Electrical & Electronics Engineering, Provides comprehensive coverage of the planning aspects of the full range of today's mobile network systems, covering radio access network, circuit and packet switching, signaling, control, and backhaul/Core transmission networks, New elements in book include HSPA, Ethernet, 4G/LTE and 5G, Covers areas such as Virtualization, IoT, Artificial Intelligence, Spectrum Management and Cloud. A network packet is a small segment of data that may be transmitted from one point to another within a network. The Gigamon Deep Observability Pipeline, based on the GigaVUE Cloud Suite, amplifies the power of your cloud, security, and observability tools with actionable network-derived intelligence and insights to eliminate security and performance blind spots, enabling you to proactively mitigate security and compliance risk, deliver a superior digital experience, and contain the runaway cost and complexity associated with managing your hybrid and multi-cloud infrastructure.Why Gigamon? July 2018 An effective network planning software will help you visualize your entire network infrastructure. Fundamentals of Cellular Network Planning and Optimization, Second Edition encompasses all the technologies as well as the planning and implementation details that go with them. Data harvesting: collecting data from Operating Support Systems (OSS) and Multicast Distribution Trees (MDT), Data processing: parsing multi-vendor network data, Data enrichment: applying Artificial Intelligence and Machine Learning (AI/ML) algorithms to create actionable insights. Common Causes and How to Fix Them, 10 Best Network Monitoring Tools, Compared, Network Throughput vs Bandwidth and How to Measure It. These stats are based on recommendations for Microsoft Teams and Zoom because applications like these are some of the most common performance-sensitive apps around: Remember, for these numbers, lower = better. In technical terms, jitter is the absolute value of the difference between the forwarding delay of two consecutive received packets belonging to the same stream (source: RFC4689). Name and email are required, but don't worry, we won't publish your email address. Latency, packet loss, and downtime in internal networks prevent employees from being able to access and use vital tools and information when and how they need them most. Tune SharePoint Online performance: Use these articles to fine tune SharePoint Online performance. This means decreased latency and jitter, faster response times, and a better-connected IT ecosystem, and, as a result, increased throughput. The book also provides an overview of the forthcoming technologies that are expected to make an impact in the future, such as 5G. Supplying a . This welcome new edition provides comprehensive coverage of all aspects of network planning in all the technologies, from 2G to 5G, in radio, transmission and core aspects. Ooklas handset-based testing and monitoring solution provides comprehensive network measurements with real-time data processing and visualization so you can virtually eliminate post-processing and make important network improvements while testers are still in the field. The radio network planning and optimization process can be divided into different phases. Weve got some swanky polar-bear swag in our store, Explore a visual history of how Auvik has grown over the years, Meet the people who are helping define the future of work, Read about the core set of tenets that defines who we are. [1][2] Another reason for overprovisioning is to make sure that traffic can be rerouted in case a failure occurs in the network. Simulate the coordination of movements using all logistics assets and influencers to visualize optimal network design and optimize processes not visible in traditional supply chain management. I will be looking to read additional articles by Steve Petryschuk. In particular, jitter can make VoIP calls or teleconferences effectively unusable. Speedtest Intelligence provides detailed KPIs and global insights on: Collecting billions of daily measurements, Ookla provides a comprehensive picture of real-world consumer network experience across the use cases, services, devices, applications, CDNs, and cloud providers that matter most to end users. It covers 2G (GSM, EGPRS), 3G (WCDMA) and 4G (LTE) networks and introduces 5G. The book also looks at all the sub-systems of the network, focusing on both the practical and theoretical issues. Designing . This will be based on historical analysis of traffic growth, network and service KPIs. For 5G planning, for example, CSPs can leverage AI to model network behavior at the cell level. Sudden surges or spikes in traffic can overwhelm essential network functions and slow down response times. It increases basic understanding of the currently deployed, and emerging, technologies, and helps to make evolution plans for future networks. Network optimization is a set of tools and techniques used to improve network performance and reliability. Network analysis; network dimensioning; and detailed planning are the steps involved in network planning. Esri's logistics technology, enriched with artificial intelligence and machine learning, helps firms digitize end-to-end logistics tasksfrom network design to distribution site planning and service-level gap . A highly practical guide rooted in theory to include the necessary background for taking the reader through the planning, implementation and management stages for each type of cellular network. Lets take a closer look at network optimization tips and tricks to get you up to speed (pun intended!) Solutions that leverage network monitoring protocols like SNMP, WMI, and the various flow protocols can often track, report on, and alert against a wide variety of network performance metrics. Download Product Flyer is to download PDF in new tab. AUTOMATED PLANNING Automation drives engineering efficiency. Because network jitter may result in lost packets, dropped connections, network congestion, and poor user experience especially audio, voice, and video feeds it is an important consideration for network optimization. Fundamentals of Cellular Network Planning and Optimization, Second Edition encompasses all the technologies as well as the planning and implementation details that go with them. Ajay R. Mishra has more than 20 years of experience in the ICT Industry. Python Crash , by No hemos encontrado ninguna resea en los sitios habituales. At its most basic, a network is a system made up of two or more computers sharing resources, data, and communications, with the goal of more quickly and effectively accomplishing essential tasks. The ever-growing amount of data transmission and new use cases introduced with 5G mean that operators are looking for ways to keep costs at bay while tapping into new revenue models. The network must promote increased productivity and usability and allow data to be exchanged effectively and efficiently. Easy Apply Strong experience in network and systems security, not only a key understanding of overall concepts, but also the ability to implement policies, process and 7d Felix Schoeller North America, Inc. 3.2 Stanford University, Stanford, California 94305. catalog, articles, website, & more in one search, books, media & more in the Stanford Libraries' collections, Fundamentals of network planning and optimisation 2G/3G/4G : evolution to 5G, Fundamentals of cellular network planning and optimisation, Foreword by Aruna Sundararajan xix Foreword by Rainer Deutschmann xxi Preface xxiii Acknowledgements xxv List of Abbreviations xxvii, 1 Overview of Mobile Networks 1 1.1 Introduction 1 1.2 Mobile Network Evolution 2 1.3 Information Theory 4 1.4 Second-generation Mobile Network 8 1.5 Third-generation Mobile Networks 13 1.6 Fourth-generation Mobile Networks 17 1.7 Fifth-generation Networks 19 1.8 Supporting Technologies 20 Part I: 2G GSM and EGPRS Network Planning and Optimisation 27, 2 Radio Network Planning and Optimisation 29 2.1 Basics of Radio Network Planning 29 2.2 Radio Network Planning Process 32 2.3 Radio Network Pre-planning 38 2.4 Radio Network Detailed Planning 40 2.5 Basics of Radio Network Optimisation 59 2.6 GPRS Network Planning and Optimisation 66 2.7 Network Planning in a GPRS Network 71 2.8 GPRS Detailed Radio Network Planning 74 2.9 GPRS Radio Network Optimisation 76 2.10 EDGE Network Planning and Optimisation 77 2.11 EDGE Radio Network Planning Process 78 2.12 Radio Network Planning Process 80 2.13 EDGE Radio Network Optimisation 84 2.14 Conclusions 86, 3 Transmission Network Planning and Optimisation 87 3.1 Basics of Transmission Network Planning 87 3.2 Transmission Network Planning Process 89 3.3 Transmission Pre-planning 90 3.4 Detailed Transmission Network Planning 107 3.5 Transmission Network Optimisation 117 3.6 GPRS Transmission Network Planning and Optimisation 123 3.7 EDGE Transmission Network Planning 123, 4 Core Network Planning and Optimisation 133 4.1 Basics of Core Network Planning 133 4.2 Core Network Planning Process 134 4.3 Basics of Signalling 140 4.4 Intelligent Network (IN) 141 4.5 Failure Analysis and Protection 142 4.6 Detailed Planning 144 4.7 Core Network Optimisation 145 4.8 GPRS Core Network Planning 149 4.9 EDGE Core Network Planning 154 Part II: 3G UMTS Network Planning and Optimisation 155, 5 3G Radio Network Planning and Optimisation 157 5.1 Basics of Radio Network Planning 157 5.2 Radio Interface Protocol Architecture 161 5.3 Spreading Phenomenon 164 5.4 Multipath Propagation 166 5.5 Radio Network Planning Process 167 5.6 Detailed Planning 178 5.7 High Speed Packet Access 181 5.8 WCDMA Radio Network Optimisation 186, 6 3G Transmission Network Planning and Optimisation 195 6.1 Basics of 3G (WCDMA) Transmission Network Planning 195 6.2 Transmission Network Planning Process 198 6.3 Asynchronous Transfer Mode 198 6.4 Dimensioning 203 6.5 Microwave Link Planning 206 6.6 Detailed Planning 208 6.7 Ethernet Radio 215 6.8 3G WCDMA Transmission Network Optimisation 217, 7 3G Core Network Planning and Optimisation 223 7.1 Basics of Core Network Planning 223 7.2 Core Network Planning Process 224 7.3 Detailed Network Planning 228 7.4 Core Network Optimisation 232 7.5 End-to-End Quality of Service 233 Part III: 4G LTE Network Planning and Optimisation 235, 8 4G Radio Network Planning and Optimisation 237 8.1 Basics of Radio Network Planning 237 8.2 LTE Air Interface 239 8.3 LTE Frame Structure 240 8.4 LTE Protocol Stack 242 8.5 LTE Channel Structure 244 8.6 Multiple Input Multiple Output Antenna Technique 247 8.7 Network Elements in a LTE Radio Network 248 8.8 Key Phenomena in LTE 249 8.9 Radio Network Planning Process 251 8.10 LTE Radio Network Optimisation 259 8.11 LTE Advanced 264, 9 4G Core Network Planning and Optimisation 267 9.1 Introduction 267 9.2 Basics of EPC Network Planning 267 9.3 EPC Network Planning: Key Concepts 270 9.4 EPC Network Dimensioning 272 9.5 Detailed EPC Network Planning: Key Concepts 273 9.6 IMS (IP Multimedia Subsystem) 276 9.7 Voice-Flow in LTE 287 9.8 Software Defined Network (SDN) 288 9.9 Network Function Virtualisation (NFV) 291 9.10 Virtualising Network Functions 291 Part IV: 5G Introduction to 5G Network Planning and Optimisation 295. Gigamon goes beyond current security and observability approaches that rely exclusively on metrics, events, logs, and traces (MELT) data. In simple terms, jitter is an uneven or unpredictable flow of data packets, often calculated by taking the average of the difference in consecutive ping responses. Got something to say? Network optimization keeps data flowing properly, so your workforce doesnt have to sit on its hands waiting for your network to catch up. 11 Types of Networks: Understanding the Differences, What is Network Congestion? 338 C.4 Blockchain Versus Database 341 C.5 Telcos in Blockchain 342 C.6 Blockchain in Other Industries 342 C.7 Bitcoin 343 C.8 Benefits of Blockchain 345 C.9 Challenges of Blockchain 346 Appendix D 3GPP Releases 347 Guninder Preet Singh D.1 Introduction 347 D.2 Release 8 347 D.3 Release 9 349 D.4 Release 10 349 D.5 Release 11 350 D.6 Release 12 350 D.7 Release 13 351 D.8 Release 14 351 D.9 Release 15 and Future Releases 352 Appendix E A Synopsis on Radio Spectrum Management 353 Ramy Ahmed Fathy and Asit Kadayan E.1 Introduction to Spectrum 353 E.2 Spectrum Management 353 E.3 Role of National Administrations in Spectrum Management 355 E.4 The International Frequency Allocation Table 356 E.5 Spectrum Bands and Their Impact on the User 359 E.6 NFAP (National Frequency Allocation Plan): India 360 E.7 Efficient Use of Spectrum 362 E.8 Future Needs of Spectrum 362 Appendix F Artificial Intelligence 365 Pieter Geldenhuys F.1 Machine Learning 365 F.2 The History of Artificial Intelligence and Machine Learning 365 F.3 Artificial Intelligence is about Statistical Relationships, not Cause and Effect Relationships 367 F.4 Artificial Intelligence Created User Behaviour Mapping Versus Traditional Market Research 368 F.5 Artificial Intelligence Created User Behaviour Mapping Versus Narrative Inquiry 368 F.6 The New Digital Ecosystem and Future of Artificial Intelligence 368 F.7 The Role of Machine Learning: Headlines from the Future 369 F.8 Conclusion 372 Bibliography 372 Appendix G Erlang B Tables 373 Bibliography 383 Index 389. 8 Reliable Techniques, deep dive on packet errors, packet discards, and packet loss, TCP is inherently less efficient than UDP, Network device bottlenecks (e.g. [1] Choices must be made for the protocols and transmission technologies.[1][2]. For example, if all you need to do is support email and print services you can be much more tolerant of latency and jitter than a high-speed trading firm. So, you optimize within those constraints. He is currently working with Ericsson where he joined as Director of Technology & IR. ASSET Radio has automated planners for site placement, PCI planning, RACH planning, neighbor planning, network design optimization and more. Get full access to Fundamentals of Network Planning and Optimisation 2G/3G/4G, 2nd Edition and 60K+ other titles, with a free 10-day trial of O'Reilly. Performance testing based on Big Data from the network is much more accurate than results from physical drive tests. Ookla, Speedtest, and Speedtest Intelligence are among the federally registered trademarks of Ookla, LLC and may only be used with explicit written permission. Network throughput vs bandwidth boils down to this: bandwidth is the theoretical maximum amount of data that can be transmitted, while throughput is the amount of data actually flowing between network devices. A dimensioning rule is that the planner must ensure that the traffic load should never approach a load of 100 percent. Become a part of the OneGigamon team. Request permission to reuse content from this site, Part I: 2G GSM and EGPRS Network Planning and Optimisation 27, 2 Radio Network Planning and Optimisation 29, 2.5 Basics of Radio Network Optimisation 59, 2.6 GPRS Network Planning and Optimisation 66, 2.7 Network Planning in a GPRS Network 71, 2.8 GPRS Detailed Radio Network Planning 74, 2.10 EDGE Network Planning and Optimisation 77, 2.11 EDGE Radio Network Planning Process 78, 3 Transmission Network Planning and Optimisation 87, 3.1 Basics of Transmission Network Planning 87, 3.2 Transmission Network Planning Process 89, 3.4 Detailed Transmission Network Planning 107, 3.5 Transmission Network Optimisation 117, 3.6 GPRS Transmission Network Planning and Optimisation 123, 3.7 EDGE Transmission Network Planning 123, 4 Core Network Planning and Optimisation 133, Part II: 3G UMTS Network Planning and Optimisation 155, 5 3G Radio Network Planning and Optimisation 157, 5.2 Radio Interface Protocol Architecture 161, 6 3G Transmission Network Planning and Optimisation 195, 6.1 Basics of 3G (WCDMA) Transmission Network Planning 195, 6.2 Transmission Network Planning Process 198, 6.8 3G WCDMA Transmission Network Optimisation 217, 7 3G Core Network Planning and Optimisation 223, Part III: 4G LTE Network Planning and Optimisation 235, 8 4G Radio Network Planning and Optimisation 237, 8.6 Multiple Input Multiple Output Antenna Technique 247, 8.7 Network Elements in a LTE Radio Network 248, 9 4G Core Network Planning and Optimisation 267, 9.3 EPC Network Planning: Key Concepts 270, 9.5 Detailed EPC Network Planning: Key Concepts 273, 9.9 Network Function Virtualisation (NFV) 291, Part IV: 5G Introduction to 5G Network Planning and Optimisation 295, 10.7 Network Planning Consideration in 5G 311, Appendix A IoT (Internet of Things) 315Jeevan Talegaonkar, Appendix B Introduction to MIMO and Massive MIMO 325Swapnaja Deshpande, B.3 Spatial Multiplexing of Deterministic MIMO Channels 329, Appendix C Blockchain Technology 337Priyanka Ray, C.2 Distributed Ledger Technology (DLT) 337, Appendix D 3GPP Releases 347Guninder Preet Singh, Appendix E A Synopsis on Radio Spectrum Management 353Ramy Ahmed Fathy and Asit Kadayan, E.3 Role of National Administrations in Spectrum Management 355, E.4 The International Frequency Allocation Table 356, E.5 Spectrum Bands and Their Impact on the User 359, E.6 NFAP (National Frequency Allocation Plan): India 360, Appendix F Artificial Intelligence 365Pieter Geldenhuys, F.2 The History of Artificial Intelligence and Machine Learning 365, F.3 Artificial Intelligence is about Statistical Relationships, not Cause and Effect Relationships 367, F.4 Artificial Intelligence Created User Behaviour Mapping Versus Traditional Market Research 368, F.5 Artificial Intelligence Created User Behaviour Mapping Versus Narrative Inquiry 368, F.6 The New Digital Ecosystem and Future of Artificial Intelligence 368, F.7 The Role of Machine Learning: Headlines from the Future 369. RTT is the time it takes for data to go from source to destination and back again. It has been one of the critical requirements in network planning and design. Assess the performance, quality, and availability of existing networks, Locate opportunities for capacity expansion, Prioritize network optimization and marketing efforts, Focus engineering effort where most needed, Verify a new deployment 10x-30x faster than traditional post-processing and reporting methods, Remotely monitor your customer network experience during large sporting events, concerts, conferences, and cultural events, Accurately measure 5G rollouts, including non-standalone and standalone 5G NR for both FR1 and FR2 deployments, with native Speedtest testing and extensive engineering KPIs, Analyze real-world data in volumes that are simply impossible to collect via controlled testing or probes, Plan network improvements based on the user experience metrics that matter most to consumers, Benchmark against competitors and strategically target network improvements, Correlate user experience insights to the radio network environment and other KPIs in order to quickly identify network improvement actions, Digital teams can implement self-serve tools for consumers to check their network status, report issues, and subscribe to network updates, Customer care teams can reduce call center volume and provide more contextual communication, Network, NOC, and SOC teams can more quickly discover issues and prioritize improvements, Customers receive the best experience possible, even during service issues or outages.