634  Free Space Path Loss and Propagation Models

634.1 Learning Objectives

By the end of this chapter, you will be able to:

  • Calculate free space path loss (FSPL) for various frequencies and distances
  • Apply the FSPL formula using both MHz/km and GHz/m conventions
  • Understand the log-distance path loss model for different environments
  • Interpret path loss exponents to characterize propagation environments
  • Estimate received signal strength from transmit power and path loss

634.2 Introduction

Understanding wireless signal propagation is critical for IoT deployments. Whether placing Wi-Fi access points, estimating LoRa range, or debugging BLE beacon issues, engineers must understand how radio waves behave in real environments.

Time: ~15 min | Difficulty: Intermediate | P07.C15.U05a

634.3 Why Propagation Matters for IoT

Real-World Problem: A smart building deploys 200 Zigbee temperature sensors with gateway placement based on theoretical 100m range specifications. After installation, 40% of sensors fail to connect. Post-mortem analysis reveals walls attenuate signals by 8-15 dB, reducing effective range to 30-50m.

Cost Impact: - Gateway hardware: $500 each - Initial deployment: 4 gateways ($2,000) - Required gateways: 12 ($6,000) - Wasted hardware + reinstallation labor: $15,000+ overrun

Root Cause: Assuming free-space path loss without accounting for real-world attenuation through building materials.

634.4 Free Space Path Loss (FSPL)

Free Space Path Loss describes signal attenuation in ideal conditions (no obstacles, line-of-sight).

FSPL Formula:

\[L_{FSPL}(dB) = 20\log_{10}(d) + 20\log_{10}(f) + 32.45\]

Where: - L = Path loss in decibels (dB) - d = Distance in kilometers - f = Frequency in MHz

Alternative Formula (meters and GHz):

\[L_{FSPL}(dB) = 20\log_{10}(d) + 20\log_{10}(f) + 92.45\]

Where: - d = Distance in meters - f = Frequency in GHz

Path loss formula showing FSPL in dB equals 20 log d plus 20 log f plus 92.45, demonstrating frequency-dependent signal attenuation
Figure 634.1: Path loss is frequency dependent - higher frequencies experience greater attenuation

634.5 Worked Example: Wi-Fi 2.4 GHz Range Calculation

Scenario: ESP32 Wi-Fi module transmitting at 2.4 GHz. What is the path loss at 50 meters?

Given: - Distance: d = 50 meters - Frequency: f = 2.4 GHz - Transmit power: 20 dBm (100 mW - typical ESP32) - Receiver sensitivity: -90 dBm (typical Wi-Fi)

Step 1: Calculate FSPL

\[L_{FSPL} = 20\log_{10}(50) + 20\log_{10}(2.4) + 92.45\] \[L_{FSPL} = 20(1.699) + 20(0.380) + 92.45\] \[L_{FSPL} = 33.98 + 7.60 + 92.45\] \[L_{FSPL} = 134.03 \text{ dB}\]

Wait, this doesn’t look right! Let me recalculate:

\[L_{FSPL} = 20\log_{10}(50) + 20\log_{10}(2400) + 32.45 \text{ (using MHz)}\] \[L_{FSPL} = 20(1.699) + 20(3.380) + 32.45\] \[L_{FSPL} = 33.98 + 67.60 + 32.45\] \[L_{FSPL} = 68.03 \text{ dB}\]

Step 2: Calculate received signal strength

\[P_{RX} = P_{TX} - L_{FSPL}\] \[P_{RX} = 20 \text{ dBm} - 68.03 \text{ dB}\] \[P_{RX} = -48.03 \text{ dBm}\]

Step 3: Compare to sensitivity threshold

  • Received signal: -48.03 dBm
  • Sensitivity threshold: -90 dBm
  • Link margin: -48.03 - (-90) = 41.97 dB (excellent!)

Interpretation: At 50m in free space, Wi-Fi has 42 dB of margin. This extra margin accounts for fading, interference, and obstacles in real deployments.

634.6 Worked Example: LoRa Long-Range Link Budget

Scenario: LoRaWAN sensor in rural farm environment at 915 MHz. What is maximum range?

Given: - Frequency: f = 915 MHz - Transmit power: 14 dBm (25 mW - regulatory limit US 915 MHz) - Receiver sensitivity: -137 dBm (LoRa SF12) - Required link margin: 10 dB (for fading)

Step 1: Calculate maximum allowable path loss

\[L_{max} = P_{TX} - P_{RX} - \text{Margin}\] \[L_{max} = 14 \text{ dBm} - (-137 \text{ dBm}) - 10 \text{ dB}\] \[L_{max} = 141 \text{ dB}\]

Step 2: Solve FSPL formula for distance

\[L_{FSPL} = 20\log_{10}(d) + 20\log_{10}(f) + 32.45 = 141 \text{ dB}\] \[20\log_{10}(d) = 141 - 20\log_{10}(915) - 32.45\] \[20\log_{10}(d) = 141 - 59.23 - 32.45\] \[20\log_{10}(d) = 49.32\] \[\log_{10}(d) = 2.466\] \[d = 10^{2.466} = 292.4 \text{ km}\]

Reality Check: This is theoretical free-space range! Real-world factors reduce this significantly:

Environment Typical Range Loss Factor
Rural open field 10-15 km Earth curvature, vegetation
Suburban 2-5 km Buildings, trees
Urban 1-2 km Dense buildings, multipath
Indoor 200-500 m Walls, floors, metal

Actual achievable range: 10-15 km in rural deployment (far less than theoretical 292 km!).

634.7 Log-Distance Path Model

Real environments don’t follow free-space propagation. The Log-Distance Path Model accounts for obstacles and environment.

Log-Distance Formula:

\[L(d) = L_0 + 10n\log_{10}\left(\frac{d}{d_0}\right) + X_\sigma\]

Where: - L(d) = Path loss at distance d (dB) - L_0 = Path loss at reference distance d_0 (typically 1m) - n = Path loss exponent (environment-dependent) - d_0 = Reference distance (typically 1m) - X_sigma = Gaussian random variable for shadowing (dB)

Path Loss Exponents by Environment:

Environment Path Loss Exponent (n) Interpretation
Free space n = 2.0 Ideal conditions
Urban cellular n = 2.7 to 3.5 Buildings, reflections
Indoor office n = 2.5 to 3.0 Cubicles, furniture
Indoor factory n = 2.0 to 3.0 Open floor vs machinery
Indoor residential n = 3.0 to 4.0 Walls, floors
Obstructed urban n = 4.0 to 6.0 Dense buildings, no LOS

Key Insight: Higher path loss exponent = signal degrades faster with distance.

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xychart-beta
    title "Signal Strength vs Distance (Different Environments)"
    x-axis "Distance (meters)" [1, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
    y-axis "Path Loss (dB)" 0 --> 120
    line "Free Space (n=2.0)" [0, 20, 26, 30, 32, 34, 36, 37, 38, 39, 40]
    line "Indoor Office (n=3.0)" [0, 30, 39, 44, 48, 51, 54, 56, 58, 60, 60]
    line "Dense Urban (n=5.0)" [0, 50, 65, 75, 82, 88, 93, 97, 101, 104, 100]

Figure 634.2: Signal strength degradation comparing free space, indoor office, and dense urban environments

{fig-alt=“Line chart comparing path loss versus distance for three environments: free space with n=2.0 showing slowest signal degradation, indoor office with n=3.0 showing moderate degradation, and dense urban with n=5.0 showing rapid signal attenuation, illustrating how environment affects wireless range”}

634.8 Summary

  • Free Space Path Loss (FSPL) provides the baseline for wireless range calculations using the formula: FSPL = 20log(d) + 20log(f) + constant
  • Higher frequencies experience more path loss - a 2.4 GHz signal loses ~8 dB more than a 915 MHz signal at the same distance
  • Path loss exponent (n) characterizes the environment: n=2 for free space, n=3-4 for indoor, n=4-6 for obstructed urban
  • Theoretical range far exceeds practical range - real deployments must account for environmental losses
  • Link budget analysis determines if a wireless connection will work by comparing received power to sensitivity

634.9 What’s Next

Continue to the Material Attenuation and RSSI chapter to learn how building materials affect signal strength and how RSSI is used for localization.