Uplink Power Allocation for Multi-TRP Wireless Systems

The patent segments the beam management and power determination functions across multiple TRPs and panels, allowing each component to operate independently with dedicated control mechanisms. This segmentation enables complex signal processing to be distributed rather than centralized, improving reliability while managing complexity through modular architecture.

The patent implements dynamic beam management where beams can be switched and adjusted in real-time based on channel conditions, and dynamic power determination where transmission power is adaptively controlled per TRP and panel. This dynamic adaptation improves signal quality by optimizing parameters continuously while the system manages complexity through algorithmic control rather than hardware complexity.

The patent designs a universal framework that can accommodate multiple TRPs and panels using the same basic architectural elements and control mechanisms. The MAC layer control elements and resource allocation procedures are designed to work across all TRPs and panels, providing multi-functionality that improves adaptability without requiring separate specialized systems for each component.

The patent manages multiple TRPs and panels by dynamically changing system parameters such as beam directions, power levels, and resource allocations rather than requiring fundamentally different hardware configurations. This parameter-based adaptation allows the system to versatility across multiple TRPs and panels while maintaining a relatively simple underlying hardware architecture.

The patent implements feedback mechanisms where channel state information is continuously monitored and used to adjust beam allocations and power levels. This feedback-driven optimization ensures that energy is transmitted efficiently toward the intended receiver by adapting to changing channel conditions, thereby improving transmission efficiency while minimizing energy loss through intelligent resource allocation.

The patent optimizes signal transmission efficiency by dynamically changing transmission parameters including power levels, beam directions, and modulation schemes based on real-time channel conditions. This adaptive parameter adjustment allows the system to achieve efficient energy utilization by selecting optimal transmission parameters that maximize productivity while minimizing energy waste.