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Blog # 164 – NTN – HARQ Mechanisms and Limitations in NTN
HARQ efficiency drops significantly in NTN due to long delays. This article explains how 3GPP adapts reliability mechanisms by shifting toward stronger coding and reduced retransmissions.
Home » Blog » Learning » NTN » Blog # 164 – NTN – HARQ Mechanisms and Limitations in NTN

Hybrid Automatic Repeat reQuest (HARQ) is a critical mechanism in 5G NR that ensures reliable data transmission by combining forward error correction with retransmissions. In terrestrial networks, HARQ operates efficiently due to low latency and tight feedback loops. However, in Non Terrestrial Networks (NTN), HARQ behavior is fundamentally impacted by long propagation delays, making traditional mechanisms less effective.

This article explores how HARQ operates in NTN, its limitations, and the adaptations introduced in 3GPP Release 17.


HARQ operates using a stop and wait mechanism with multiple parallel processes.

  1. UE transmits data (Transport Block)
  2. Receiver decodes and sends ACK/NACK
  3. If NACK is received, retransmission occurs

Key features:

  1. Soft combining improves decoding performance
  2. Multiple HARQ processes maintain throughput
  3. Synchronous operation in uplink and asynchronous in downlink

ParameterTypical Value
RTT1–8 ms
HARQ Feedback DelayVery Low
Number of Processes8–16
EfficiencyHigh

Low latency ensures:

  1. Fast retransmissions
  2. Efficient spectrum utilization
  3. Minimal buffering requirements

  1. LEO RTT: ~20–50 ms
  2. GEO RTT: >500 ms

Impact:

  1. Delayed ACK/NACK feedback
  2. Increased retransmission cycle time

  1. To maintain throughput, more parallel HARQ processes are required
  2. Leads to:
    • Increased UE memory requirements
    • Higher processing complexity

  1. UE and gNB must store multiple pending HARQ processes
  2. Especially critical for:
    • IoT devices
    • Low cost NTN terminals

  1. Delayed feedback leads to idle transmission gaps
  2. Reduces system efficiency

  1. Rapid channel variations due to satellite movement
  2. Retransmissions may not experience the same channel conditions

Unlike other mechanisms, HARQ in NTN is partially de emphasized due to its inefficiency under high latency.

  1. Fewer HARQ processes configured
  2. In some cases, HARQ retransmissions are minimized

  1. Stronger coding schemes (e.g., LDPC)
  2. Reduces dependency on retransmissions

  1. Particularly for:
    • NB IoT NTN
    • Delay-tolerant services
  2. Benefits:
    • Lower complexity
    • Reduced buffering

  1. Flexible ACK/NACK timing
  2. Adapted to NTN delay profiles

  1. UE transmits data to satellite
  2. Satellite relays to gateway/gNB
  3. gNB processes data and generates ACK/NACK
  4. Feedback sent back via satellite
  5. UE receives feedback after significant delay
  6. Retransmission triggered if required

FeatureTerrestrial NRNTN NR (Rel-17)
RTTVery LowVery High
HARQ EfficiencyHighReduced
HARQ ProcessesModerateIncreased
Buffer RequirementsLowHigh
Retransmission SpeedFastSlow
FEC DependencyModerateHigh

  1. Operators must balance:
    • Higher coding (reliability)
    • Reduced retransmissions (efficiency)

  1. Increased memory for HARQ buffers
  2. Higher power consumption

  1. HARQ suitable for:
    • Low latency services (limited NTN use)
  2. HARQ-less approaches suitable for:
    • IoT
    • Messaging services

  1. HARQ inefficiency shifts burden to scheduler
  2. Requires:
    • Intelligent resource allocation
    • Predictive transmission strategies

  1. AI-driven retransmission strategies
  2. Adaptive HARQ enabling/disabling
  3. Cross layer optimization with transport protocols
  4. Enhanced coding techniques reducing retransmission dependency

HARQ, a cornerstone of terrestrial 5G reliability, faces fundamental limitations in NTN due to long delays and dynamic channel conditions.

Instead of scaling HARQ directly, NTN design shifts toward:

  1. Stronger forward error correction
  2. Reduced reliance on retransmissions
  3. Flexible and adaptive feedback mechanisms

Understanding these changes is essential for designing efficient satellite based 5G systems.


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