5G TRS and SS-Block Multiplexing for Accurate RSRP Tracking
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Solution Overview
Problem
In next-generation wireless cellular communication systems like 5G, the multiplexing of Tracking Reference Signals (TRS) and Synchronization Signal Blocks (SS-blocks) is challenging due to bandwidth limitations, leading to inaccurate Reference Signal Received Power (RSRP) measurements and difficulties in time and frequency tracking, especially in multi-beam operations and long Discontinuous Reception (DRX) scenarios.
Innovation Solution
The proposed solution involves multiplexing TRS and SS-blocks using Frequency Division Multiplexing (FDM) and Time Division Multiplexing (TDM) techniques, allowing for improved RSRP measurement accuracy and time/frequency tracking by configuring TRS transmissions based on UE triggers, such as changes in receiving beams or DRX duration, and utilizing higher-layer signaling for power and numerology adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If TRS and SS-blocks are multiplexed in limited bandwidth, then resource utilization is improved, but measurement accuracy and tracking performance deteriorate
Solution Approach 1:
The patent segments the multiplexing approach by providing separate configuration mechanisms for TRS and SS-blocks. The network can independently configure TRS resources (time, frequency, density) separate from SS-block resources, allowing optimization of each signal type's placement to maintain measurement accuracy while achieving efficient resource utilization through coordinated segmentation across the bandwidth.
Solution Approach 2:
The patent extends the multiplexing solution from a single-dimensional frequency allocation to multi-dimensional configuration across time, frequency, and density dimensions. By controlling TRS density and periodicity independently, the system achieves resource efficiency in the frequency domain while maintaining measurement accuracy through appropriate time-domain spacing and density adjustments in other dimensions.
2Reliability
If TRS transmission is configured for all UEs, then tracking performance is improved, but system complexity and signaling overhead increase
Solution Approach 1:
The patent implements dynamic TRS configuration where transmission parameters (density, periodicity, time/frequency resources) are adaptively adjusted based on UE-specific conditions such as beam changes, DRX patterns, and channel characteristics. This dynamic approach maintains reliable tracking performance for each UE while avoiding the complexity of uniform high-density TRS transmission to all UEs, as resources are allocated only where and when needed.
Solution Approach 2:
The patent changes key transmission parameters (density, periodicity, time offset, frequency offset) based on UE triggers and network conditions. When a UE experiences beam changes or enters long DRX periods, the network adjusts TRS parameters specifically for that UE to maintain tracking reliability, rather than increasing system-wide TRS density, thereby reducing overall system complexity while preserving individual UE performance.
3Reliability
If TRS density is increased for accurate tracking, then time and frequency tracking are improved, but resource overhead increases
Solution Approach 1:
The patent applies partial action by configuring TRS at variable densities rather than uniform high density across all time and frequency resources. The network provides minimum sufficient TRS density for reliable tracking while using UE-specific triggers (beam changes, DRX events) to activate additional TRS transmissions only when needed, achieving accurate tracking without the resource overhead of continuous high-density TRS transmission.
Solution Approach 2:
The patent implements periodic TRS transmission with configurable periodicity that adapts to UE conditions. During normal operation, TRS is transmitted at a baseline periodicity that maintains tracking accuracy. When UE triggers occur (beam changes, long DRX), the periodicity is temporarily reduced (density increased) for that specific UE, achieving reliable tracking only when necessary rather than continuously, thus reducing overall resource overhead.
Data Source
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AI summary
Described is an apparatus of a User Equipment (UE) operable to communicate with a fifth-generation Evolved Node-B (gNB) on a wireless network. The apparatus may comprise a first circuitry and a second circuitry. The first circuitry may be operable to process a Tracking Reference Signal (TRS) transmission and to process a Synchronization Signal block (SS-block) transmission. The second circuitry may be operable to measure a reference signal parameter based on the TRS transmission and the SS-block transmission.