2 Mobile Wireless Technologies Basics
Key Concepts
- Wireless Technology Landscape: Spectrum of IoT wireless technologies from short-range (Bluetooth) to wide-area (Cellular) with different power, range, and data rate trade-offs
- LPWAN: Low-Power Wide-Area Network category including LoRaWAN, Sigfox, NB-IoT; optimized for years of battery life with km-scale range
- WPAN: Wireless Personal Area Network (Zigbee, Bluetooth); short-range, low-power mesh networking for home/building automation
- WLAN: Wireless Local Area Network (Wi-Fi); high throughput for moderate range; higher power consumption than WPAN
- WWAN: Wireless Wide Area Network (LTE, 5G); cellular infrastructure with nationwide coverage; requires data plan
- Star vs Mesh Topology: Star (all devices connect to gateway) vs mesh (devices relay for each other); mesh adds redundancy at complexity cost
- Data Rate vs Range Trade-off: Fundamental RF principle — lower bit rates can be decoded at weaker signal levels, extending range
- Battery Life Comparison: BLE ~1 year on coin cell; Zigbee ~2-5 years; LoRaWAN ~5-10 years; NB-IoT with PSM ~10 years
2.1 Introduction
Wireless design is rarely about picking a “best” protocol—it’s about making the right frequency-band and propagation trade-offs for your environment, range, reliability, and power budget. This series covers the physics and spectrum foundations (waves, frequency/wavelength/energy, ISM bands, and licensing) that you’ll reuse across Wi-Fi/Bluetooth/Zigbee/LPWAN/cellular chapters. For applied link-budget practice and hands-on RF measurements, continue to Mobile Wireless: Fundamentals and Mobile Wireless: Labs and Implementation.
By the end of this chapter series, you will be able to:
- Explain how electromagnetic waves propagate and enable wireless communication
- Calculate wavelength from frequency and relate the frequency-wavelength-energy triad
- Classify where common IoT technologies sit in the radio spectrum (sub-GHz, 2.4 GHz, 5 GHz)
- Evaluate sub-GHz vs 2.4 GHz vs 5 GHz bands for range, penetration, interference, and throughput trade-offs
- Differentiate licensed vs unlicensed spectrum and analyse regulatory constraints (power limits, duty cycle, DFS)
- Apply systematic frequency selection frameworks to real IoT deployment scenarios
- Conduct hands-on RF spectrum analysis and design interference mitigation strategies
This chapter introduces the main wireless technologies used for mobile and IoT communication: cellular (4G/5G), Wi-Fi, Bluetooth, Zigbee, LoRaWAN, and more. Think of it as a catalog of wireless options – each technology has different strengths for different situations, from streaming video to sensing a mailbox opening once a day.
2.2 Prerequisites
Before diving into this chapter series, you should be familiar with:
- Networking Basics for IoT: Understanding basic networking concepts, the OSI model, and network layers provides essential context for how wireless technologies operate within IoT communication stacks
- Basic physics and mathematics: Familiarity with fundamental wave properties, frequency, wavelength calculations, and logarithmic scales (for dB measurements) helps in understanding wireless propagation and signal strength concepts
This chapter series gives you the physics and spectrum foundations that all IoT wireless technologies share. After (or alongside) this series, you can explore the main wireless families in more detail:
- Local‑area networking (WLAN) – Wi-Fi Fundamentals and Standards
- Personal‑area networking (WPAN) – Bluetooth Fundamentals and Architecture
- Wide‑area, low‑power networking (LPWAN) – LPWAN Fundamentals and LoRaWAN Overview
- Cellular IoT – Cellular IoT Fundamentals
- Short‑range identification and tap experiences – RFID Fundamentals and Standards and NFC Fundamentals
If you are completely new to wireless, a smooth path is:
Networking Basics for IoT→ this chapter series (Mobile Wireless Technologies Basics)- Wi-Fi fundamentals → Bluetooth fundamentals → LPWAN fundamentals
- Then add RFID/NFC and Cellular IoT as needed for your project
As you read later technology‑specific chapters, refer back here whenever you see terms like frequency band, wavelength, path loss, or spectrum licensing.
2.3 Chapter Series Contents
This comprehensive coverage has been split into five focused chapters for better learning:
2.3.1 1. Electromagnetic Waves and the Spectrum
⏱️ ~15 min | ⭐⭐ Intermediate | 2,222 words
Understand the fundamental physics of electromagnetic waves and the electromagnetic spectrum:
- Electromagnetic Wave Properties: Frequency, wavelength, and energy relationships
- The Wave-Energy Relationship: c = f × λ and E = h × f formulas
- The Electromagnetic Spectrum: From radio waves to gamma rays
- Radio Frequency Spectrum for IoT: Sub-GHz, 2.4 GHz, and 5 GHz bands overview
Key Topics:
- How wireless communication works through electromagnetic waves
- Calculating wavelength from frequency
- Why lower frequencies travel farther (path loss fundamentals)
- The inverse relationship between frequency and wavelength
2.3.2 2. IoT Wireless Frequency Bands
⏱️ ~20 min | ⭐⭐ Intermediate | 2,041 words
Deep dive into the specific frequency bands used in IoT applications:
- The 2.4 GHz ISM Band: Channel allocation, Wi-Fi/Zigbee/Bluetooth coexistence
- The 5 GHz Band: UNII bands, DFS requirements, higher bandwidth trade-offs
- Sub-GHz Bands: 433 MHz, 868 MHz (Europe), 915 MHz (US), regional variations
Key Topics:
- 2.4 GHz interference sources and mitigation strategies
- Zigbee channels 15, 20, 25, 26 for Wi-Fi coexistence
- 5 GHz UNII-1/2/3 bands and radar detection (DFS)
- Sub-GHz advantages for long-range, low-power IoT
- Regional frequency allocations and compliance
2.3.3 3. Spectrum Licensing and Wireless Propagation
⏱️ ~18 min | ⭐⭐ Intermediate | 2,461 words
Explore spectrum licensing models and wireless propagation characteristics:
- Licensed vs Unlicensed Spectrum: Trade-offs, costs, and quality of service
- Regional Variations: FCC (US), ETSI (Europe), Asia-Pacific regulations
- Wireless Propagation Characteristics: Frequency vs range vs bandwidth trade-offs
- Free Space Path Loss: FSPL formula and calculations
Key Topics:
- Why licensed cellular costs $1/month/device vs free unlicensed ISM bands
- Path loss comparison: sub-GHz vs 2.4 GHz vs 5 GHz (9 dB difference at 100m)
- European 868 MHz 1% duty cycle vs US 915 MHz no duty cycle limit
- Practical path loss examples and range predictions
2.4 Quick Check: Frequency Bands
Before moving on to the design labs, test your recall. Which sub-GHz frequency is commonly used for LPWAN IoT in Europe?
- 433 MHz
- 868 MHz
- 915 MHz
- 2.4 GHz
B) – In Europe, 868 MHz is the primary sub-GHz ISM band for LPWAN technologies such as LoRaWAN and Sigfox. The 915 MHz band serves the same role in North America, while 433 MHz is an older, narrower ISM allocation used by some legacy devices. The 2.4 GHz band is not sub-GHz.
2.4.1 4. Design Considerations and Hands-On Labs
⏱️ ~25 min | ⭐⭐⭐ Advanced | 3,476 words
Apply frequency selection frameworks and perform hands-on RF analysis:
- Frequency Band Selection Framework: Systematic decision tree for IoT applications
- Key Selection Criteria: Range, data rate, power, environment, regulatory compliance
- Hands-On Lab 1: Wi-Fi Channel Scanner (ESP32)
- Hands-On Lab 2: Channel Congestion Analyzer with RSSI
- Hands-On Lab 3: Python Data Analysis for Spectrum Patterns
- Additional Labs: SDR spectrum analysis, interference source identification
Key Topics:
- Decision flowchart: range → data rate → power → environment
- ESP32 Wi-Fi scanner implementation (full C++ code)
- Identifying least congested channels from spectrum scan
- Python visualization of channel congestion
- Detecting microwave ovens, Bluetooth, USB 3.0 EMI interference
2.4.2 5. Knowledge Checks and Assessments
⏱️ ~65 min total | ⭐⭐ Intermediate | Index + 4 quiz chapters
Test your understanding with comprehensive scenario-based questions across four focused quiz chapters:
- Quiz: Frequency Band Selection (~15 min) - Smart agriculture, interference mitigation
- Quiz: Indoor Deployments & Link Budgets (~15 min) - Multi-floor buildings, smart building design
- Quiz: Cellular & LoRaWAN Regulations (~15 min) - Duty cycle, campus LoRaWAN
- Quiz: Smart City & Multi-Technology (~20 min) - TCO analysis, agricultural IoT
Key Topics:
- Real-world deployment scenarios with worked solutions
- Cost analysis: LoRaWAN vs Zigbee vs Wi-Fi for large-scale deployments
- Channel overlap analysis and interference scoring
- Link budget calculations with path loss, gains, and margins
- Technology selection justification with quantitative analysis
Sammy Sensor: “This chapter series is like a video game with 8 levels! Level 1 teaches you about invisible waves. Level 2 shows you the different wireless neighborhoods. Level 3 explains the rules. Level 4 gives you hands-on tools. And Levels 5-8 are boss battles (quizzes) to test what you learned!”
Lila the Light Sensor: “If you are just starting out, begin with Chapter 1 about electromagnetic waves. It is the foundation for everything else – like learning to walk before you run! Each chapter builds on the one before.”
Max the Motion Detector: “My favorite chapters are the labs (Chapter 4)! You get to build a real Wi-Fi scanner with an ESP32 microcontroller. It is like building your own radio telescope, but for Wi-Fi signals!”
Bella the Button: “Do not try to read all 22,000 words in one sitting! Pick the chapters that match what you need right now. Building a farm sensor? Read about sub-GHz. Setting up smart home devices? Focus on 2.4 GHz coexistence.”
2.5 Knowledge Check: Frequency Band Range
Q1: Which of the following correctly ranks frequency bands from longest range to shortest range (assuming equal transmit power)?
- 5 GHz > 2.4 GHz > Sub-GHz
- Sub-GHz > 5 GHz > 2.4 GHz
- Sub-GHz > 2.4 GHz > 5 GHz
- 2.4 GHz > Sub-GHz > 5 GHz
C) – Lower frequencies experience less free-space path loss and better obstacle penetration. Sub-GHz (868/915 MHz) achieves 10+ km range, 2.4 GHz reaches 100-300 m, and 5 GHz is limited to 50-100 m. The FSPL formula confirms that path loss increases with the square of frequency, so sub-GHz signals consistently propagate farther than their higher-frequency counterparts under identical conditions.
2.6 Knowledge Check: Licensed vs Unlicensed Economics
Q2: A designer needs to choose between licensed cellular (NB-IoT) and unlicensed LoRaWAN for 1,000 soil sensors with 10-year battery life. What is the primary economic trade-off?
- Licensed spectrum is always cheaper for large deployments
- Unlicensed avoids recurring subscription fees but requires gateway infrastructure investment
- Both options have identical total cost of ownership
- Unlicensed spectrum guarantees better quality of service
B) – Licensed NB-IoT requires per-device monthly subscription fees (e.g., $1-3/month/device) that compound over 10 years, while unlicensed LoRaWAN requires upfront gateway investment ($300-1,200 each) but avoids per-device fees. For 1,000 devices over 10 years, LoRaWAN typically costs significantly less despite higher initial infrastructure cost. The crossover point depends on device count: above roughly 50-100 devices, LoRaWAN’s capital cost is amortised and the total cost of ownership favours unlicensed.
2.7 Quick Reference
| Chapter | Focus | Word Count | Difficulty | Time |
|---|---|---|---|---|
| 1. EM Waves & Spectrum | Physics fundamentals | 2,222 | ⭐⭐ Intermediate | ~15 min |
| 2. IoT Frequency Bands | 2.4 GHz, 5 GHz, sub-GHz | 2,041 | ⭐⭐ Intermediate | ~20 min |
| 3. Licensing & Propagation | Spectrum & path loss | 2,461 | ⭐⭐ Intermediate | ~18 min |
| 4. Design & Labs | Selection frameworks, hands-on | 3,476 | ⭐⭐⭐ Advanced | ~25 min |
| 5. Knowledge Checks (Index) | Assessment hub | ~500 | ⭐ Foundational | ~3 min |
| 5a. Quiz: Frequency Selection | Band selection, interference | ~2,400 | ⭐⭐ Intermediate | ~15 min |
| 5b. Quiz: Link Budgets | Indoor coverage, propagation | ~2,600 | ⭐⭐ Intermediate | ~15 min |
| 5c. Quiz: Cellular & LoRaWAN | Regulations, compliance | ~2,400 | ⭐⭐ Intermediate | ~15 min |
| 5d. Quiz: Smart City | TCO, risk assessment | ~3,800 | ⭐⭐ Intermediate | ~20 min |
| Total | Complete series | ~22,000 | ~2.5 hours |
Scenario: You’re placing an IoT gateway to cover sensors 100 meters away. Compare path loss at three frequency bands to determine optimal placement height and frequency selection.
Given:
- Distance: 100 meters
- Frequencies: 868 MHz (sub-GHz), 2.4 GHz, 5.8 GHz
- Environment: Outdoor line-of-sight with some tree foliage
Step 1: Calculate Free-Space Path Loss (FSPL)
Using the FSPL formula: FSPL(dB) = 20log₁₀(d) + 20log₁₀(f) + 32.45
Where: - d = distance in kilometers (0.1 km) - f = frequency in MHz
868 MHz (Sub-GHz):
FSPL = 20log₁₀(0.1) + 20log₁₀(868) + 32.45
= 20(-1) + 20(2.938) + 32.45
= -20 + 58.76 + 32.45
= 71.21 dB
2.4 GHz:
FSPL = 20log₁₀(0.1) + 20log₁₀(2400) + 32.45
= -20 + 67.60 + 32.45
= 80.05 dB
5.8 GHz:
FSPL = 20log₁₀(0.1) + 20log₁₀(5800) + 32.45
= -20 + 75.27 + 32.45
= 87.72 dB
Step 2: Compare Path Loss Differences
| Frequency | FSPL @ 100m | Delta vs 868 MHz |
|---|---|---|
| 868 MHz | 71.2 dB | Baseline |
| 2.4 GHz | 80.1 dB | +8.9 dB worse |
| 5.8 GHz | 87.7 dB | +16.5 dB worse |
Key Insight: Moving from 868 MHz to 2.4 GHz adds 8.9 dB path loss. Moving to 5.8 GHz adds 16.5 dB. These differences are MASSIVE in RF terms.
Step 3: Translate dB Differences to Power/Range
Power multiplication: 10 dB = 10× power, 3 dB = 2× power
| Comparison | Path Loss Delta | Power Ratio | Interpretation |
|---|---|---|---|
| 868 MHz → 2.4 GHz | +8.9 dB | ~7.8× | 2.4 GHz needs 7.8× more TX power for same range |
| 868 MHz → 5.8 GHz | +16.5 dB | ~45× | 5.8 GHz needs 45× more TX power for same range |
Range multiplication: For same TX power, lower frequency achieves √(power ratio) more range
| Comparison | Range Ratio | 100m @ 868 MHz → ? @ Higher Freq |
|---|---|---|
| 868 MHz vs 2.4 GHz | √7.8 ≈ 2.8× | 100m becomes 36m at 2.4 GHz |
| 868 MHz vs 5.8 GHz | √45 ≈ 6.7× | 100m becomes 15m at 5.8 GHz |
Step 4: Add Foliage Attenuation (Realistic Scenario)
Trees add frequency-dependent attenuation:
| Frequency | Foliage Loss/10m | 50m Through Trees |
|---|---|---|
| 868 MHz | 0.3 dB/10m | 1.5 dB total |
| 2.4 GHz | 1.0 dB/10m | 5.0 dB total |
| 5.8 GHz | 2.5 dB/10m | 12.5 dB total |
Total Path Loss (FSPL + Foliage):
| Frequency | FSPL | Foliage | Total Loss |
|---|---|---|---|
| 868 MHz | 71.2 dB | 1.5 dB | 72.7 dB |
| 2.4 GHz | 80.1 dB | 5.0 dB | 85.1 dB (12.4 dB worse) |
| 5.8 GHz | 87.7 dB | 12.5 dB | 100.2 dB (27.5 dB worse) |
Step 5: Link Budget Analysis
Assume typical IoT sensor specs: - TX Power: +14 dBm (25 mW, typical for IoT) - RX Sensitivity: -120 dBm (good LoRa/sub-GHz), -100 dBm (typical Wi-Fi/2.4 GHz) - Antenna Gain: 3 dBi each (simple dipole)
868 MHz Link Budget:
Link Budget = TX Power + TX Antenna - Path Loss + RX Antenna - RX Sensitivity
= 14 + 3 - 72.7 + 3 - (-120)
= 14 + 3 - 72.7 + 3 + 120
= 67.3 dB margin ✓ EXCELLENT (>30 dB typical target)
2.4 GHz Link Budget:
Link Budget = 14 + 3 - 85.1 + 3 - (-100)
= 14 + 3 - 85.1 + 3 + 100
= 34.9 dB margin ✓ GOOD (adequate for most conditions)
5.8 GHz Link Budget:
Link Budget = 14 + 3 - 100.2 + 3 - (-95)
= 14 + 3 - 100.2 + 3 + 95
= 14.8 dB margin ⚠️ MARGINAL (barely above 10 dB minimum)
Link budget: \(\text{Margin} = P_{TX} - L_{total} - S_{RX}\) (simplified, ignoring antenna gains for clarity). For 868 MHz:
\[\text{Margin} = 14 \text{ dBm} - 72.7 \text{ dB} - (-120 \text{ dBm}) = 61.3 \text{ dB}\]
This 61.3 dB margin (\(10^{6.13} \approx 1.35 \text{ million}\)) means the received signal is 1.35 million times stronger than minimum needed! Even with 40 dB of unexpected fade (rain, seasonal foliage, multipath), you still have 21 dB margin—rock-solid reliable.
Step 6: Design Recommendations
For 100m outdoor coverage through light foliage:
| Frequency | Link Margin | Recommendation | Use Case |
|---|---|---|---|
| 868 MHz | 67 dB | Best choice | Battery-powered sensors, multi-year deployments |
| 2.4 GHz | 35 dB | Acceptable | Wi-Fi infrastructure already exists, indoor-outdoor mix |
| 5.8 GHz | 15 dB | Avoid | Margin too low, foliage causes deep fades |
Gateway Placement Strategy:
Option 1: High Pole Mount (868 MHz)
- Height: 6-10m above ground
- Coverage radius: 500m-1km (clear line-of-sight)
- 67 dB margin allows: rain fade (5 dB), multipath (8 dB), seasonal foliage (5 dB) = 49 dB still available
Option 2: Rooftop Mount (2.4 GHz)
- Height: 3-5m (building roof)
- Coverage radius: 200-300m
- 35 dB margin allows: rain (5 dB), walls (10 dB), interference (10 dB) = 10 dB remaining (tight but workable)
Option 3: High-Density AP Array (5.8 GHz)
- Cannot achieve 100m reliably
- Reduce spacing to 30-50m between APs
- Use for high-bandwidth (video) where 868/2.4 insufficient
Step 7: Practical Example - Smart Agriculture
Scenario: 200-hectare farm needs 100 soil sensors
Option A: Sub-GHz (868/915 MHz)
- Coverage: 1-2 gateways cover entire farm (1.5 km radius each)
- Path loss at 1 km: 71.2 + 20log₁₀(10) = 71.2 + 20 = 91.2 dB
- Link margin: 14 + 3 - 91.2 + 3 + 120 = 48.8 dB ✓
- Battery life: 10+ years (μA sleep current)
- Cost: 100 sensors × $8 + 1 gateway × $800 = $1,600
Option B: 2.4 GHz (Wi-Fi/Zigbee)
- Coverage: 10-15 APs needed (100-150m radius each)
- Path loss at 150m: 80.1 + 20log₁₀(1.5) = 83.6 dB
- Link margin: 14 + 3 - 83.6 + 3 + 100 = 36.4 dB (marginal)
- Battery life: 2-3 years (mesh routing overhead)
- Cost: 100 sensors × $12 + 12 APs × $150 = $3,000
Winner: Sub-GHz by 2:1 cost ratio, 3× battery life, and 10× infrastructure simplicity.
Key Takeaway: The ~9 dB path loss difference between sub-GHz and 2.4 GHz translates to either 8× power savings or 2.8× range extension—fundamentally changing IoT system economics. For outdoor battery-powered sensors, sub-GHz physics advantages (better propagation, lower foliage attenuation) combine with LPWAN protocol advantages (μA sleep) to make 868/915 MHz the only practical choice for >1-year battery life and >100m range. 2.4 GHz/5 GHz excel at high-bandwidth indoor applications but cannot match sub-GHz for long-range low-power IoT.
2.8 Concept Relationships
| Concept | Relationship | Key Insight |
|---|---|---|
| Frequency ↔︎ Wavelength | c = f × λ (inverse relationship) | 868 MHz = 34.6 cm wavelength, 2.4 GHz = 12.5 cm |
| Frequency ↔︎ Path Loss | Higher freq = higher FSPL | 2.4 GHz has 8.9 dB more loss than 868 MHz at 100m |
| Licensed ↔︎ QoS | Exclusive spectrum = guaranteed service | Cellular $1-3/device/month, ISM = free but best-effort |
| Range ↔︎ Battery Life | Sub-GHz enables both | 10× range AND 600× power savings vs 2.4 GHz |
Common Pitfalls
Engineers comfortable with Wi-Fi often default to it for all IoT projects. But a soil moisture sensor in a field reporting daily needs LoRaWAN or NB-IoT, not Wi-Fi — which would drain batteries in days and require infrastructure in remote areas. Evaluate each application’s requirements independently.
Cellular IoT eliminates the need for custom gateways but requires monthly data plan costs per device and SIM card management. For 10,000 sensors with $2/month SIM plans, annual recurring costs are $240,000. Include cellular data costs in total cost of ownership analysis.
Mesh networks (Zigbee, Thread) add routing complexity as device count grows. Routing table sizes, route discovery traffic, and coordinator load all increase with network size. Networks designed for 50 devices often fail at 200 devices due to unplanned scaling limits.
Adding IoT sensors to the corporate Wi-Fi network creates both security and performance problems. IoT devices with weak security can be entry points for attackers. Heavy IoT traffic can degrade performance for business applications. Use a dedicated SSID and VLAN for IoT devices.
2.9 Summary
This chapter series provides comprehensive coverage of mobile wireless technologies for IoT, split into focused chapters totaling approximately 2.5 hours of reading:
- Electromagnetic Waves and the Spectrum - Fundamental physics and wave properties
- IoT Wireless Frequency Bands - Detailed exploration of 2.4 GHz, 5 GHz, and sub-GHz bands
- Spectrum Licensing and Wireless Propagation - Regulatory models and path loss calculations
- Design Considerations and Hands-On Labs - Practical selection frameworks and ESP32/Python labs
- Knowledge Checks and Assessments - Assessment hub with four focused quiz chapters:
- 5a. Quiz: Frequency Band Selection for IoT
- 5b. Quiz: Indoor Deployments and Link Budgets
- 5c. Quiz: Cellular and LoRaWAN Regulations
- 5d. Quiz: Smart City and Multi-Technology Deployments
Content organization: 8 total chapters (4 content + 1 index + 4 quizzes) Optimized: Each chapter 2,000-3,800 words for focused study sessions
2.10 See Also
- Electromagnetic Waves and the Spectrum - Start here for wave physics fundamentals
- Design Considerations and Labs - Hands-on ESP32 spectrum analysis
- Wi-Fi Fundamentals and Standards - Apply these concepts to 802.11 protocols
2.11 What’s Next
With wireless fundamentals mastered, explore specific technologies and advanced topics:
| Chapter | Focus |
|---|---|
| Wi-Fi Fundamentals and Standards | 802.11 protocol deep dive and channel management |
| Bluetooth Fundamentals and Architecture | Short-range WPAN for wearables and peripherals |
| Zigbee Fundamentals and Architecture | Low-power mesh networking for home and industrial IoT |
| LoRaWAN Overview | Long-range, low-power wide-area networking |
| Cellular IoT Fundamentals | NB-IoT and LTE-M for licensed-band deployments |
| Mobile Wireless Fundamentals | Applied link-budget practice and RF measurement techniques |
| Mobile Wireless Labs and Implementation | Hands-on ESP32 spectrum scanning and Python analysis |
| Mobile Wireless Comprehensive Review | End-to-end review consolidating all wireless concepts |
| Simulations Hub | Interactive Wokwi ESP32 simulations across all topics |
| Quiz Navigator | Assessment hub for all knowledge checks and quizzes |
2.12 References
Books:
- “Wireless Communications: Principles and Practice” by Theodore S. Rappaport
- “RF and Microwave Wireless Systems” by Kai Chang
Standards:
- FCC Part 15: Radio Frequency Devices (US regulations)
- ETSI EN 300 220: Short Range Devices (European regulations)
- ITU Radio Regulations: International spectrum allocation