5.5G

5G-Advanced

5G-Advanced (5.5G)

5G-Advanced - 5.5G Evolution

5G-Advanced represents the evolution of 5G towards enhanced capabilities and 6G preparation. It starts with Rel-18 (2024), continues with Rel-19 (2025), and Rel-20 (2026).

Key Features

5G-Advanced brings transformative capabilities:

  • AI/ML integration - native AI for network optimization
  • XR optimization - immersive media support
  • Ambient IoT - battery-less IoT devices
  • Duplex evolution - SBFD, full duplex
  • Network energy saving - green networks
  • Enhanced positioning - cm-level accuracy
  • NTN evolution - expanded satellite integration

πŸ“‹ Specifications: TR 21.918 (Rel-18 Description)


AI/ML for RAN

Native AI/ML integration into the radio access network.

AI/ML Use Cases (Rel-18)

Use Case Application
CSI feedback AI-enhanced CSI compression
Beam management AI-predicted beam selection
Positioning AI-improved location accuracy

Framework

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚           AI/ML Framework               β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚ Trainingβ”‚  β”‚  Model  β”‚  β”‚Inferenceβ”‚  β”‚
β”‚  β”‚         │──│ Transfer│──│         β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β”‚       ↑                          ↓      β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
β”‚  β”‚  Data   β”‚              β”‚ Output  β”‚   β”‚
β”‚  β”‚Collectionβ”‚              β”‚ Action  β”‚   β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜              β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Model Types

Location Training Inference
UE-side At UE/network At UE
Network-side At network At gNB
Joint Collaborative Split

Life Cycle Management

  1. Data collection - measurements, KPIs
  2. Training - online/offline
  3. Model validation - performance verification
  4. Deployment - model transfer
  5. Inference - real-time execution
  6. Monitoring - performance tracking
  7. Update/fallback - model refresh

πŸ“‹ Specifications: TR 38.843 (AI/ML for NR Study)


XR Support

Extended Reality (VR/AR/MR) optimization for immersive experiences.

XR Requirements

Parameter Requirement
Data rate 30-100+ Mbps
Latency (MTP) <20 ms (motion-to-photon)
Jitter <5 ms
Frame rate 60-120 fps
Reliability 99.9%

XR Traffic Characteristics

Aspect Pattern
Periodicity Video frames (8-16 ms)
Size variation I-frames larger than P-frames
Bidirectional DL video + UL pose/input
Bursty Variable bitrate

Optimizations (Rel-18)

Feature Benefit
XR awareness Scheduler knows frame boundaries
Capacity enhancement Multi-slot scheduling
Power saving DRX aligned with frames
Jitter reduction PDU set handling

PDU Set Handling

Group PDUs belonging to same video frame:

  • Joint scheduling decisions
  • Priority inheritance
  • Deadline-aware treatment

πŸ“‹ Specifications: TR 38.838 (XR Study)


Ambient IoT

Ultra-low-power devices harvesting energy from environment (battery-less).

Device Types

Type Energy Source Range Data Rate
Type A RF harvesting <10 m <1 kbps
Type B RF + storage <50 m 1-10 kbps
Type C Battery-assisted >100 m Higher

Communication Topology

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  Reader │──────│ Ambient │──────│   gNB   β”‚
β”‚         β”‚ RF   β”‚   IoT   β”‚      β”‚         β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜      β”‚  Device β”‚      β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                 β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Technology Basis

Building on:

  • Backscatter communication
  • RFID principles
  • Energy harvesting

Use Cases

Application Example
Logistics Package tracking
Retail Inventory management
Healthcare Medical sensors
Smart home Environmental sensors

πŸ“‹ Specifications: TR 38.848 (Ambient IoT Study)


Duplex Evolution

Enhanced spectrum efficiency through advanced duplex modes.

SBFD (Subband Full Duplex)

Simultaneous DL and UL in same carrier using frequency separation:

Frequency
    ↑
    β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚  β”‚            Downlink               β”‚
    β”‚  β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
    β”‚  β”‚     Guard     β”‚                   β”‚
    β”‚  β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€                   β”‚
    β”‚  β”‚    Uplink     β”‚                   β”‚
    β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
    └──────────────────────────────────────→ Time
Type Description Mitigation
gNB-to-gNB DL TX β†’ neighbor RX Coordination
UE-to-UE UL TX β†’ neighbor RX Scheduling

Full Duplex (Study)

  • Self-interference cancellation required
  • Analog + digital domain cancellation
  • >100 dB cancellation needed

πŸ“‹ Specifications: TR 38.858 (Duplex Evolution Study)


Network Energy Saving

Green network initiatives for sustainability.

Energy Saving Techniques

Category Technique
Spatial Cell/beam/antenna switching
Temporal DTX, micro-sleep
Frequency Carrier/BWP switching
Power Adaptive transmission power

AI/ML for Energy Saving

Application Benefit
Traffic prediction Anticipate load changes
Sleep scheduling Optimize wake/sleep patterns
Beam management Reduce active beams
Coordination Multi-cell optimization

Energy Efficiency KPIs

KPI Definition
EE bits/Joule
EC kWh per unit data
Network EE Coverage Γ— Capacity / Power

πŸ“‹ Specifications: TR 38.864 (NES Study)


Enhanced Positioning

Sub-meter to cm-level accuracy.

Rel-18 Enhancements

Feature Improvement
Carrier phase cm-level accuracy
Multi-RTT Enhanced multilateration
Side link UE-to-UE ranging
NR+LTE Multi-RAT positioning

Accuracy Targets

Environment Rel-17 Rel-18 Target
Indoor <3 m <0.2 m
Outdoor <10 m <0.2 m
Industrial <1 m <0.1 m

Positioning Methods

Method Technique Accuracy
DL-TDOA Downlink time difference ~10 m
Multi-RTT Round-trip time ~3 m
DL-AoD Angle of departure Variable
UL-AoA Angle of arrival Variable
Carrier phase Phase measurement ~cm

πŸ“‹ Specifications: TS 38.305 (Positioning)


Rel-19/20 Outlook

Rel-19 (2025) Focus Areas

Area Description
AI/ML Phase 2 Extended use cases
NTN evolution IoT-NTN, regenerative
XR enhancement Improved QoE
Ambient IoT Normative work
Energy saving Enhanced techniques

Rel-20 (2026) - Towards 6G

Topic Direction
Sub-THz 100+ GHz studies
AI-native AI as fundamental component
Sensing Integrated communication & sensing
ISAC Joint radar/communication
Sustainability Enhanced green networks
Security Post-quantum cryptography

6G Vision

Capability Target
Peak rate 1 Tbps
Latency <0.1 ms
Reliability 99.99999%
Positioning <1 cm
Spectrum Sub-THz, visible light
Intelligence Ubiquitous AI

πŸ“‹ Specifications: Watch 3GPP Release planning for updates


Timeline

  • 2021 - 5G-Advanced study started
  • 2022 - Rel-18 work items approved
  • 2024 - Rel-18 frozen (AI/ML, XR, Ambient IoT)
  • 2025 - Rel-19 frozen (expected)
  • 2026 - Rel-20 frozen (expected)
  • 2028+ - 6G standardization expected