SRS Transmit Antenna Selection for Downlink Throughput
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Solution Overview
Problem
Current wireless communication networks face limitations in selecting the optimal subset of antennas for sounding reference signal (SRS) transmission, which affects downlink throughput, as existing methods often restrict SRS transmit antenna selection to two antennas despite having multiple antennas available, leading to suboptimal performance due to varying receive conditions among antennas.
Innovation Solution
A method for user equipment (UE) to select a subset of antennas for SRS transmission based on parameters such as spectrum efficiency, signal-to-noise ratio (SNR), channel correlation, and reference signal received power (RSRP) to maximize downlink throughput, allowing for the use of a subset of antennas that provide the highest corresponding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the UE is restricted to using only two antennas for SRS transmission, then the device complexity is reduced, but the downlink throughput is suboptimal due to not utilizing the best antennas
Solution Approach 1:
The patent implements dynamic antenna selection where the UE autonomously determines which antennas to use for SRS transmission based on real-time channel conditions and selection criteria. This dynamic approach allows the system to adapt to varying network conditions and select the optimal antenna subset, thereby improving downlink throughput without requiring complex manual configuration or fixed restrictions on antenna usage.
2Productivity
If more antennas are used for SRS transmission, then the downlink throughput is improved, but the signaling overhead increases for antenna configuration
Solution Approach 1:
The patent enables the UE to autonomously perform antenna selection based on locally available channel state information and pre-configured selection criteria. The UE independently determines the optimal antenna subset without requiring extensive network signaling to specify each antenna configuration detail. This self-service approach reduces signaling overhead while maintaining high downlink throughput by leveraging the UE's local knowledge of channel conditions.
3Productivity
If antenna selection is based on multiple parameters (SNR, RSRP, channel correlation), then the spectrum efficiency is optimized, but the measurement and detection complexity increases
Solution Approach 1:
The patent employs preliminary actions by pre-configuring the UE with selection criteria and thresholds for antenna parameters such as SNR, RSRP, and channel correlation. These criteria are established in advance through network configuration or device settings, allowing the UE to perform rapid antenna selection without performing complex real-time measurements and calculations. The pre-established framework simplifies the measurement and detection process while maintaining optimized spectrum efficiency.
Data Source
AI summary
Methods and apparatuses relate to sounding reference signal (SRS) transmit antenna selection in wireless communication systems. For example, a user equipment (UE) may select, from a set of antennas, a subset of antennas for SRS transmission based on at least one antenna selection parameter. The UE may further transmit, on an uplink communication channel, the SRS using the subset of antennas to a network entity. In some aspects, the at least one antenna selection parameter may include a reference signal receive power (RSRP) value, a signal-to-noise ratio (SNR) value, a spectrum efficiency value, and/or an SNR value and a channel correlation value.