TX Antenna Power Allocation Using Enhanced CSF for FDRSB Mitigation
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies due to frequency domain residual sideband (FDRSB) impairments, particularly in higher carrier frequencies, which affect data transmission rates and signal-to-noise ratios, especially in 5G NR systems, leading to challenges in supporting higher QAM modulations.
Innovation Solution
Adaptive power allocation is implemented based on FDRSB level information for each Tx antenna and subcarrier, utilizing CSI RS to optimize power distribution and minimize FDRSB impairments, enhancing signal quality and supporting higher QAM modulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adaptive power allocation is implemented based on FDRSB level information, then signal-to-noise ratio and data transmission rates are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary measurement of FDRSB power levels for each antenna and subcarrier group before data transmission. This advance characterization of channel impairments allows the network to pre-calculate optimal power allocation strategies, avoiding complex real-time computations during active transmission and reducing processing complexity while maintaining high data rates
Solution Approach 2:
The frequency spectrum is divided into multiple subcarrier groups, and power allocation is performed independently for each group based on its specific FDRSB characteristics. This segmentation allows the system to manage complexity by handling smaller frequency blocks separately rather than computing power allocation across the entire spectrum simultaneously
2Reliability
If power allocation is optimized for each antenna and subcarrier to minimize FDRSB impairments, then signal quality and QAM modulation performance are improved, but computational requirements and processing time increase
Solution Approach 1:
FDRSB power levels are measured and reported in advance through CSI feedback mechanisms before actual data transmission begins. The network node uses this pre-acquired information to determine optimal power allocation without requiring complex computations during the transmission phase, thus maintaining high signal quality while minimizing processing time
Solution Approach 2:
The system implements a feedback loop where the UE measures and reports FDRSB power levels for each antenna and subcarrier group to the network node. This feedback mechanism provides the network with accurate channel impairment information, enabling it to make informed power allocation decisions that optimize signal quality without requiring extensive real-time computation
Data Source
AI summary
Apparatus, methods, and computer program products for wireless communication are provided. An example method may include receiving, from a network node, at least one channel state information reference signal (CSI RS). The example method may further include transmitting, to the network node, information indicative of at least one power associated with a post-processing frequency domain residual sideband and a noise per each antenna associated with the UE in a channel state feedback (CSF) report based on the at least one CSI RS. The example method may further include receiving, from the network node, a power allocation configuration based on the information indicative of the at least one power associated with the post-processing frequency domain residual sideband and the noise per each antenna associated with the network node.