Multi-TRP Beam Prediction for Low-Overhead Random Access
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing multi-transmission reception point (TRP) networks, particularly in cell-free environments, where reducing periodic signaling overhead and optimizing antenna flexibility and beamforming are crucial for improved performance.
Innovation Solution
The method involves a user equipment (UE) receiving beams from multiple TRPs, predicting beams not transmitted by either TRP, performing random access, and using DFT-s-OFDM for uplink communication, with adaptive modulation techniques and flexible antenna arrays to optimize beamforming and antenna usage based on environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If wide SSB beams are transmitted by multiple gNBs in multi-TRP networks, then beam coverage is improved, but signaling overhead increases
Solution Approach 1:
The UE performs beam prediction in advance by analyzing received beams from multiple gNBs to identify a predicted beam before actual data transmission. This preliminary beam identification reduces the need for extensive periodic beam management signaling during data transmission, thereby reducing signaling overhead while maintaining comprehensive beam coverage.
Solution Approach 2:
The patent introduces an intermediary beam prediction mechanism that acts as a mediator between multiple gNBs and the UE. Instead of each gNB independently managing beam signaling with the UE, the UE autonomously predicts the appropriate beam based on received beams from multiple gNBs, reducing the overall signaling overhead in the multi-TRP network.
2Adaptability or versatility
If flexible antenna arrays are used for beamforming in cell-free networks, then adaptability to environmental conditions is improved, but device complexity increases
Solution Approach 1:
The UE autonomously performs beam prediction and selection based on received beams from multiple gNBs without requiring complex centralized coordination. The UE self-determines the predicted beam by analyzing the received beams and their characteristics, reducing the need for complex network-side beam management while maintaining environmental adaptability.
Solution Approach 2:
The patent implements dynamic beam prediction where the UE continuously monitors received beams from multiple gNBs and updates its beam prediction based on current environmental conditions. This dynamic approach allows the system to adapt to changing environmental conditions without requiring static pre-configuration of complex antenna arrays.
3Productivity
If DFT-s-OFDM is used for uplink communication in multi-TRP networks, then spectral efficiency is improved, but implementation complexity increases
Solution Approach 1:
The patent applies DFT-s-OFDM specifically for uplink communication in multi-TRP networks where it provides spectral efficiency benefits, while allowing other modulation schemes for different scenarios. This localized application of DFT-s-OFDM optimizes spectral efficiency in the specific context of multi-TRP uplink communication without requiring complex implementation across all communication scenarios.
Data Source
AI summary
Provided herein is a method performed by a UE configured to operate in a m-TRP or cell free network. The method comprises receiving a first beam of a first set of wide SSB beams transmitted by a first gNB and receiving a second beam of a second set of narrow SSB beams transmitted by a second gNB which is different from the first gNB. The UE may predict, from the first beam and/or the second beam, a beam which is not transmitted by either one of the first gNB or the second gNB. The UE may then perform random access by transmitting a random access preamble based on the predicted beam.