Anyone know, why Ducting issues comes on TDD layer only?
Ducting means High SINR.
Anyone know, why Ducting issues comes on TDD layer only?
Ducting means High SINR.
HI managuli would you please share NOKIA parameter
Hi Experts.
For LTE TDD ducting interference, the characteristic sequence are sent by eNB upon detecting sloping interference.
So SSF 7 to 5 is triggered when the no of characteristic sequence is > 8.
I donāt understand the statementā¦
How the number of sequence identification tigger SSF7 to 5?
Basically itās Uplink interference of a Downlink sequence.
Affects the entire transmission.
Yes, but I want to understand what is the correlation with the No of Sequence detected.
For e.g., if I change it into 12, what will be the impact?
When RI is detected by a base station, it starts transmitting a special Sequence of RIM reference signal.
This signal can be used by aggressors to identify the victim base station and how many symbols it interferes.
It may additionally be used to indicate from the victim to the aggressor if enough RI mitigation has been applied or not.
The RIM reference sequence signal may also be sent by the aggressor after it has applied RIM, to indicate to the victim that the tropospheric duct still exists or stopped.
Thanks, but my question is about LTE TDD, not 5G.
Hello experts,
Are there any counters available to measure the ducting effect in TDD LTE 3.5 GHz for Huawei equipment?
Under certain atmospheric ducting conditions, uplink (UL) reception can be significantly interfered with by downlink (DL) transmissions from remote base stations (gNBs) located hundreds of kilometers away.
As a result, UL slots within Special Slots are particularly affected, primarily impacting the Sounding Reference Signal (SRS), since these UL slots carry the SRS transmissions.
To address this issue, the Remote Interference Management (RIM) feature has been introduced.
How does RIM help?
RIM typically works by identifying the sources of interference and applying mitigation strategies. These strategies may include adjusting transmission power levels to reduce the impact of the interfering signals.
It is important to note that, under ducting conditions, SRS beamforming can be severely degraded due to compromised SRS signal quality. Therefore, it is highly recommended to activate the fallback mechanism, allowing the system to switch between DL SRS-based beamforming and codebook-based beamforming to maintain performance and overcome these challenges.
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Atmospheric Ducting Interference - Intelligent RAN Automation Series
AI-Enabled Radio Optimization
Iām launching a new series focused on Intelligent RAN Automation, exploring real-world use cases aligned with the Telecom Infra Project (TIP) and Radio Intelligence and Automation (RIA) framework.
This first topic addresses a phenomenon often underestimated in mobile networks: Atmospheric Ducting Interference Mitigation
Tropospheric ducting is a weather-driven RF propagation effect that can extend signal reach hundreds of kilometers beyond intended coverage.
In modern networks:
It introduces co-channel interference in both FDD and TDD systems
In 5G TDD, it can lead to uplink contamination due to timing misalignment
It can impact thousands of cells simultaneously
It is seasonal, recurring, and cannot be eliminated
As networks densify and spectrum utilization increases, this becomes a system-level performance challenge, not an isolated anomaly.
Traditional approaches, such as tilt adjustments, guard tuning, or traffic redistribution, often come with capacity and coverage trade-offs, and rely heavily on manual intervention.
This is where AI-enabled RAN automation becomes critical:
Continuous detection of abnormal interference patterns
Identification of dominant aggressor and affected cells
Targeted parameter optimization at scale
Controlled balance between interference mitigation and capacity
Atmospheric ducting is a clear example of how external environmental factors are now part of the RF domain.
Transforming these unpredictable conditions into manageable variables is a key step toward autonomous, resilient, and spectrum-efficient networks.
This use case is part of the TIP RIA framework, where intelligent automation enables scalable and multi-vendor optimization across the RAN.

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