Symbol Aggregation for Adaptive Beam Weight Selection
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently utilizing multiple strong clusters in a wireless channel, leading to suboptimal beam weight selection and increased time delays in linear combination procedures, especially in urban areas with multiple wireless nodes or reflectors.
Innovation Solution
The implementation of symbol aggregation techniques, where a common data symbol is transmitted over multiple symbols across different downlink transmit beams, allowing user equipment (UE) to coherently combine energy and select the strongest beam configuration, based on signal strength measurements and dominant clusters in the channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional beam weight selection methods are used, then the system operates with standard procedures, but beam weight selection becomes suboptimal and time delays increase in channels with multiple strong clusters
Solution Approach 1:
The network entity transmits the common data symbol multiple times across different slots or symbols before the UE needs to make its final beam weight selection. This preliminary transmission of aggregated symbols allows the UE to perform linear combination procedures in advance, identifying the strongest beam weights based on signal strength measurements from multiple transmit beams, thereby reducing time delays when actual data transmission occurs.
Solution Approach 2:
The transmission of the common data symbol is segmented across multiple time instances (slots or symbols) and multiple transmit beams. Instead of transmitting a single symbol once, the system divides the transmission into multiple repetitions, each on a different beam, allowing the UE to measure and combine signals from various directional paths to select optimal beam weights.
2Adaptability or versatility
If a single data symbol is transmitted once, then transmission is simple and fast, but the system cannot effectively utilize multiple strong clusters in the wireless channel
Solution Approach 1:
The common data symbol serves multiple functions: it is transmitted repeatedly across different slots and beams to enable the UE to measure signal strength from multiple directional paths, identify dominant clusters in the channel, and determine optimal beam weights. This single symbol thus performs both data transmission and channel characterization functions, allowing the system to adapt to multiple strong clusters without requiring separate reference signals.
3Reliability
If the network entity transmits repetitions of the same data symbol using different beams, then the UE can coherently combine energy to select receive beam configuration, but this requires additional time and resources for symbol aggregation
Solution Approach 1:
The common data symbol is transmitted continuously across multiple slots or symbols without interruption, with each transmission using a different beam. This continuous transmission of the same symbol allows the UE to accumulate signal energy coherently over time, improving the signal-to-noise ratio by combining measurements from multiple transmissions while the symbol remains unchanged, enabling reliable beam weight selection.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit a request for symbol aggregation over a common symbol across a set of multiple downlink transmit beams of a network entity. The UE may receive, based on the request, a downlink grant scheduling one or more slots associated with symbol aggregation over the common symbol across the set of multiple downlink transmit beams of the network entity. The UE may receive, during the one or more slots, a set of multiple repetitions of a common data symbol, each repetition of the set of multiple repetitions of the common data symbol transmitted via a respective downlink transmit beam of the set of multiple downlink transmit beams.