SRS Comb and Cyclic Shift Mapping for Multi-Antenna UEs
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently configuring sounding reference signals (SRS) for optimal resource allocation and channel estimation, particularly in multi-antenna scenarios, leading to suboptimal performance in next-generation networks like 5G.
Innovation Solution
The proposed solution involves configuring SRS transmission using different tables that map transmission comb values to maximum cyclic shift values based on the number of antenna ports, allowing for code division multiplexing of antenna port signals and restricting SRS resource indicators to improve SRS transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single table maps transmission comb values to maximum cyclic shift values, then the configuration is simple, but it cannot support multiple antenna port scenarios optimally
Solution Approach 1:
The patent segments the SRS configuration by creating multiple tables (first table and second table) instead of using a single table. Each table is optimized for specific antenna port scenarios, allowing the system to handle different antenna configurations (e.g., 2 antenna ports vs. 4 antenna ports) with appropriate mapping relationships between transmission comb values and maximum cyclic shift values.
Solution Approach 2:
The patent introduces dynamic selection capability where the UE can be configured to use different tables based on the actual antenna port scenario. The configuration dynamically adapts to the number of antenna ports by selecting the appropriate table, enabling flexible support for various MIMO configurations without hardcoding each scenario.
2Productivity
If SRS resource indicators are not restricted, then more resources are available for SRS transmission, but resource allocation efficiency decreases
Solution Approach 1:
The patent changes the parameter of SRS resource indicator restriction by introducing configuration parameters that control whether SRS resource indicators are restricted or not. This allows the system to optimize resource allocation efficiency by restricting indicators to specific values when needed, while still maintaining sufficient resource availability through proper configuration of the restriction parameters.
Data Source
AI summary
Aspects relate to transmission of a sounding reference signal (SRS). A scheduling entity such as a base station may configure the transmission of an SRS by a scheduled entity such as a user equipment (UE). In some aspects, this configuration may be based on the number of antenna ports that the UE will use to transmit the SRS. For example, the scheduling entity may specify that the scheduled entity is to use a first table or a second table to map transmission combs to the maximum number of cyclic shifts. In some aspects, the selection of the first table or the second table may be based on the number of antenna ports that the scheduled entity will use to transmit the SRS.