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RF for Land Mobile & Public Safety Radio

  • Introduction to Wireless Technologies
    • A Brief History of Wireless Communications
    • The Continuing Evolution of Wireless Technologies
    • Modern Wireless Technologies
    • Overview of Land Mobile Radio (LMR) Systems
  • Radio Wave Characteristics
    • The Electro-magnetic Spectrum
    • Propagation Modes of Radio Waves
    • Radio Spectrum: Licensed and License Exempt
  • Fundamental Radio Concepts
    • Basics of Information Transfer for Radio
    • Working with Decibels: Gains, Losses, Power, Conversions
    • Voice Compression Techniques for Digital Radio
    • Basic Radio System Components
    • Wireless Impairments: Internal Noise and Distortion
  • Digital Modulation and Error Correction Techniques
    • Analog Modulation: AM and FM Variants
    • Basic Digital Modulation Schemes: ASK, PSK, FSK
    • Project 25 Modulation Schemes: C4FM and CQPSK
    • Getting More Bits per Baud using QAM
    • Error Correction Techniques
  • Physical Layers and Multiple Access Techniques
    • Basic Access Techniques: FDMA and TDMA
    • OFDM and OFDMA
    • Spread Spectrum and CDMA
  • Basics of Antennas and Antenna Systems
    • E-M Field Radiation: Intentional and Unintentional
    • Basic Antenna Types and Uses
    • Basic Antenna Characteristics
    • Antenna Field Regions
    • Care and Feeding of Antennas
    • Antenna Diversity Techniques
    • Advanced Antenna Systems: Adaptive arrays
  • Link Budget Analysis Techniques
    • Noise and Noise Sources (Internal and External)
    • Link Budget Considerations
    • Budgeting the Radio Link
  • Line-of-Sight Radio Propagation
    • Defining Line-of-Sight
    • Line-of-Sight Path Loss Analysis
  • The Non-Line-of-Sight Propagation Environment
    • Non-Line-of-Sight Propagation Mechanisms
    • Impairments due to Time Dispersal in NLOS Environments
    • Modeling NLOS Outdoor Propagation Loss
    • Modeling NLOS Indoor Propagation Loss
  • Fundamentals of Traffic Engineering
    • A Brief Review of Statistics and Probability
    • Fundamental Traffic Terms and Concepts
    • Traffic Patterns: Smooth, Random and Peaked
    • Modeling Traffic: Loss (Blocking) Systems
    • Modeling Traffic: Queuing (Delay) Systems
    • Defining Service Objectives
  • Wrap-up: Course Recap and Evaluations

Exercises Performed in This Course:

  • Wavelength/frequency conversion
  • Using decibels: Powers levels, gains and adding ratios
  • Converting among different signal level references
  • Determining the thermal noise seen by an antenna
  • Receiver noise contribution: Noise Figure
  • Determining the bit rate of a channel
  • Determining theoretical symbol error rate
  • Determining aperture antenna gain
  • Antenna pattern evaluation: Beam-width and front-to-back ratio
  • Determining antenna reactive and radiative near fields
  • Converting between VSWR and reflection coefficient
  • Comparing % reflected power and return loss measurements
  • Phase combining simulation
  • Performing a simple RF power budget
  • Converting gain and NFdB to linear ratios
  • Performing Cascade analysis of a terrestrial receive system
  • Converting NFdb to Noise Temperature
  • Performing LOS link budget using manufacturer’s equipment
  • specifications
  • Determine LOS and NLOS margin based on service objectives
  • Determining LOS radio horizon
  • Determining Fresnel zone clearance
  • Performing a Free-space path loss analysis
  • Determining link reliability based on rain fade margin
  • Estimating diffraction gain for obstacle in radio path
  • Determining the Coherence Bandwidth for a given environment
  • Estimating the RMS Delay Spread of an open area
  • Determining the Coherence time for a given Doppler spread
  • Estimating NLOS path loss using the Log Distance formula
  • Comparing expected loss for several models in a given environment
  • Calculating traffic intensity in Erlangs and CCS
  • Use Poisson, Erlang B and Erlang C models to determine the GoS
  • Calculating link utilization based on server capacity and traffic generated
  • Determining delay probability using Little and Erlang C models
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