Advanced microwave transmission engineering
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This 3-day course covers advanced topics in microwave transmission network planning, design, and optimization. Students will learn how to plan networks to meet performance and availability objectives while minimizing costs. The course covers transmission media selection, network topologies, frequency planning, interference analysis, availability and performance standards, and techniques for enhancing network capacity. Students must have prior knowledge of microwave and link planning. The course is intended for transmission engineers and others involved in network planning, maintenance, and optimization.
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Presentation2
This document provides an overview of cognitive radio and its key concepts. It discusses definitions of cognitive radio from regulatory bodies and researchers. Cognitive radio is able to sense its operating environment and dynamically adjust its transmission parameters. The document traces the evolution of cognitive radio from software defined radio and highlights pioneers like Mitola and Haykin. It outlines the spectrum crunch problem and need for more efficient spectrum usage. Main research topics in cognitive radio include spectrum sensing, allocation, and air interface design. One application area is cognitive wireless regional area networks using TV white spaces.
Claude perruche rev5 english
Claude Perruche has over 20 years of experience in telecommunications engineering and project management. He has extensive experience planning and implementing mobile networks across Africa and the Middle East for various operators. Some of his roles include senior regional manager, transmission project manager, engineering department director, and engineering manager. He has expertise in areas such as network transmission, radio planning, site surveys, and auditing transmission networks.
ADAPTATION TO NON-CRITICAL FAILURE AND PERFORMANCE ANALYSIS OF OPTICAL WDM NE...
The main area of concern for the WDM network is to find the best feasible and reliable path .In case fault occurs in a network, the network needs to be prepared for such situations by providing a fault tolerant network in case of a failure occurring between the source-destination node and assignment of different matrices such as wavelength, feasible path and availability of resources for data transmission in the network. Based on the Qos parameters evaluation the best and most reliable path in case of fault occurrence is selected
LASER Communication
Introduction to the meaning of the LASER Communication and its basic principles and applications.
Abdulrahman Haje Karim.
Thesis PresentationvFinal3
This document discusses resource allocation and quality of service (QoS) for cellular communications systems operating in congested environments. It proposes designing radio resource allocation (RRA) mechanisms that can optimize for meeting different traffic types' bit rate requirements while accounting for their elasticity behaviors. The author proves that relaxing real-time traffic utilities into a sigmoidal form leads to a convex optimization problem, allowing for efficient resource allocation. Large-scale simulations are performed to test the RRA mechanisms under realistic channel conditions and network deployments.
MU- mimo [autosaved]
MMU-MIMO systems can increase spectral efficiency in wireless networks like cellular and local area networks. They involve very large antenna arrays at the transmitters and receivers. Key challenges include channel estimation due to pilot contamination, developing efficient precoding and detection algorithms, and mitigating interference. Effective solutions require techniques for resource allocation, parameter estimation, and integrating signal processing with RF hardware.
Wcdma planning
1. The document discusses planning a WCDMA network, including dimensioning the network, estimating coverage and capacity, and accounting for uncertainties.
2. Dimensioning involves initially estimating the number of sites and equipment needed based on factors like traffic load and distribution. Coverage is estimated using link budget calculations and propagation models. Capacity is estimated based on load factor calculations that account for interference.
3. Planning must consider uncertainties from factors like user locations, speeds, and data rates that impact coverage and capacity in real networks. Both static and dynamic simulations are used to optimize the network plan.
Pankaj Patel Resume
Pankaj Patel is an RF engineer with over 3 years of experience in GSM, WCDMA, and LTE technologies. He has experience in network performance monitoring and optimization through analyzing KPIs and drive test data. Currently working as an RF planning and optimization engineer for Idea Cellular in Satara, India, he is responsible for monitoring and improving the performance of 2G, 3G, and 4G networks in the cluster.
Gross, Alex
Alexander Gross has over 30 years of experience in telecommunications engineering. He has expertise in cellular network technologies including CDMA, GSM, and iDEN, as well as satellite systems. His experience includes roles in network design, implementation, optimization, and management. He has worked on projects throughout the US and internationally.
6 lte-a challenges and evolving lte network architecture
The document discusses the challenges of evolving LTE network architectures to support LTE-Advanced and heterogeneous networks. It outlines issues like network densification increasing costs, challenges of managing more complex networks with various technologies and interoperability concerns. The document then proposes that software defined networking (SDN) and cloud radio access network (C-RAN) architectures can help address these issues by increasing flexibility, scalability and programmability of the network while reducing costs. The summary concludes that SDN and C-RAN approaches will help mobile networks realize the full potential of LTE.
Artificial intelligence based 5 g communication dr.k.thilagam
Hi, Recently i have gone through one AI based 5G paper and prepared this slide...hope this will be useful to u...
COGNITIVE RADIO
A Radio which uses Software Defined Radio(SDR) as its platform for solving spectrum inefficiency problem in RF band
An Architecture for Data Intensive Service Enabled by Next Generation Optical...
DWDM-RAM - An architecture for data intensive Grids enabled by next generation dynamic optical networks, incorporating new methods for lightpath provisioning.
DWDM-RAM: An architecture designed to meet the
networking challenges of extremely large scale Grid applications.
Traditional network infrastructure cannot meet these demands,
especially, requirements for intensive data flows
DWDM-RAM Components Include:
Data management services
Intelligent middleware
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State-of-the-art photonic technologies
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ATC2017_5G-Antenna-Design-and-Network-Planning_Jaehoon-Kim.pdf
5G networks will require 1000x capacity increases to support new applications like connected cars. This document discusses challenges like designing high gain antennas for mobile devices and base stations operating at 26GHz. Optimization tools were used to design dual MIMO arrays for phones and large planar arrays for base stations. Radio channel analysis using 3D ray tracing showed path loss increases and angular spreads decrease at 26GHz. Network planning tools can simulate dense urban coverage for different spectrum bands and antenna configurations to guide 5G deployment strategies.
Ppt (1)
Network optimisation software can provide measurable benefits for mobile networks. The software uses algorithms and automation to optimize spectrum refarming, traffic shifting between network layers, and network grid layouts. This reduces costs while improving quality of experience and increasing revenue. Case studies demonstrate the software successfully optimizing large networks overnight and improving key performance indicators.
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Advanced microwave transmission engineering
- 1. Advanced Microwave Transmission Engineering Course Duration 3-day Instructor-led course Key Benefits This course is designed to study the essentials of transmission network planning in greater detail such that at the end of this course the student is able to plan microwave networks such that the link Performance and Availability objectives are met and paths are designed for lowest possible design and maintenance costs. Also the system does not suffer from interference, or disturb other radio system in the vicinity. Finally student can carry on the detailed network analysis and optimize the network performance of any operational network. Pre-Requisites for Participants Knowledge of Microwave and Link Planning. Students should have attended the course “Microwave Transmission Engineering & Link Planning Course” Who Should Attend? Transmissions Radio Link planning Engineers and those who are or shall be involved in transmissions network planning and maintenance and optimization. Course Outline Day One Transmission Media Characteristics and Selection Guidelines • Leased Lines • Fiber • Satellite • Free Space Optics(FSO) • Digital Microwave Radio Network Topologies • Tandem Configuration • Star Configuration • Star-Mesh Configuration • Mixed Networks • Networks for Cellular Systems Day Two Advanced Topics in Frequency Panning and Interference Control
- 2. • Class Work involving difficult Frequency Planning and detailed interference analysis and calculations • Typical Case studies Detailed Availability and performance objectives and planning Guidelines • Example of Availability and Unavailability determination • Availability and Performance Standards: Purpose • ITU-R: Availability and Performance Reference Path Models • North American Availability and Performance Objectives • Rain Model Prediction and limitations • Class Work: Detailed Calculations for real cases. Day Three Special Radio Features Considerations in Network design • Automatic Transmitter Power Control (ATPC or APC) • Adaptive Equalizers (ATDE and ASAE) • Forward Error Correction (FEC) • System Gain • Dispersive Fade Margin • Radio Thermal Noise Interpretation and use of Radio Curves for Systems Design • C/N, C/I, T/I Curves • Radio Signature Curves Transmissions Network Capacity Enhancement Techniques • Capacity Dimensioning • Mux planning Methods • Hubbing • Grooming (LAPD Methods for Mobile Networks) • 2 x STM 1 using Single dual Polarized Antennas • 7 x STM 1 using CCDP technique using single antenna • 7 x STM 1 using XPIC Method using single antenna Over View of Performance Testing and Commissioning of Transmissions Network
- 3. Overview of Transmissions Network Planning Software Tool (capability and Limitations) Project: • Network Audit of an existing transmissions Network and performance improvement strategies.