Beamforming Training Reference Signal Design for 5G Path Loss
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently implementing beamforming techniques for transmit beamforming, particularly in compensating for path loss in mid-band and high-band frequency ranges, which affects the accuracy and efficiency of beamforming training reference signals (BF-TRS) in 5G systems.
Innovation Solution
The design involves transmitting downlink (DL) and uplink (UL) beamforming training reference signals (BF-TRS) using specific transmission weights, interleaved FDMA structures, and pseudo-random sequences, with mechanisms to trigger BF-TRS transmissions based on control channels, optimizing subframe allocations and resource configurations to enhance beamforming training efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beamforming training reference signals are transmitted using traditional methods, then the basic beamforming function is achieved, but the accuracy and efficiency of beamforming training deteriorates due to path loss in mid-band and high-band frequencies
Solution Approach 1:
The patent implements dynamic beamforming training by transmitting reference signals with different transmit beamforming weights in different subframes, allowing the system to adaptively select optimal beamforming configurations that compensate for frequency-dependent path loss effects
Solution Approach 2:
The patent changes the transmission parameters of beamforming training reference signals by applying different transmit beamforming weights and using interleaved FDMA structures across different subframes, thereby optimizing signal quality and reducing the impact of path loss in mid-band and high-band frequencies
2Measurement precision
If more beamforming training reference signals are transmitted to improve training accuracy, then the beamforming performance improves, but the overhead and resource consumption increases
Solution Approach 1:
The patent segments beamforming training reference signals across multiple subframes with different transmit beamforming weights, allowing comprehensive beam training to be performed in a distributed manner rather than requiring all training signals in a single resource block, thereby reducing peak overhead while maintaining accuracy
Solution Approach 2:
The patent employs periodic transmission of beamforming training reference signals with different beamforming weights across subframes, enabling efficient beam training through time-division multiplexing that reduces overall resource overhead compared to simultaneous multi-beam transmission
3Reliability
If beamforming training reference signals are transmitted in all subframes to maintain continuous training, then the training accuracy is maintained, but the resource overhead and interference increase
Solution Approach 1:
The patent implements periodic beamforming training by transmitting reference signals with different beamforming weights in specific subframes according to a configured pattern, maintaining reliable beam training functionality while significantly reducing resource overhead compared to continuous transmission in all subframes
Solution Approach 2:
The patent enables dynamic configuration of beamforming training subframes and transmit beamforming weights, allowing the system to adapt the training frequency and intensity based on channel conditions and service requirements, thereby optimizing the balance between reliability and resource overhead
Data Source
AI summary
In one example, an apparatus of an e-NodeB (eNB) capable to establish a communication connection with a user equipment (UE) in a communication network, the eNB comprising processing circuitry to transmit a downlink (DL) beamforming training reference signal (BF-TRS) to a user equipment (UE) using transmit beamforming weights that are the same. Other examples are also disclosed and claimed.