Beamforming Weight-Vector Cycling for Power and Sidelobe Control
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Solution Overview
Problem
Conventional holographic beamforming techniques in wireless communication systems face challenges with high power consumption and sidelobe interference due to the use of tunable electronic components like PIN diodes, which are inefficient and consume significant power to achieve high beamforming gain.
Innovation Solution
Implementing techniques for selecting and cycling through a set of beamforming weight-vectors based on power control and sidelobe interference parameters, reducing power consumption and minimizing sidelobe interference by optimizing the amplitude control of radiation elements in reconfigurable holographic surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional holographic beamforming techniques use tunable electronic components like PIN diodes to achieve high beamforming gain, then beamforming performance is improved, but power consumption increases significantly
Solution Approach 1:
The patent implements cycling through multiple beamforming weight-vectors in periodic time intervals, where each weight-vector is applied during specific time periods. This periodic switching allows the system to achieve high beamforming gain during active transmission while reducing average power consumption by using lower-power weight-vectors during other time periods, eliminating the need for continuously powered tunable electronic components like PIN diodes.
Solution Approach 2:
The patent changes the beamforming parameters by selecting from multiple pre-defined weight-vectors with different amplitude distributions across radiation elements. By cycling through these different parameter configurations (weight-vectors) rather than using continuously adjustable components, the system achieves high beamforming gain when needed while reducing average power consumption, as no tunable electronic components require continuous power to maintain their state.
2Measurement precision
If conventional holographic beamforming uses electronic components to control amplitude of radiation elements, then beamforming control precision is improved, but sidelobe interference increases
Solution Approach 1:
The patent employs periodic cycling through multiple beamforming weight-vectors, where each weight-vector is designed with specific amplitude distributions that suppress sidelobes in different spatial directions. By switching between these weight-vectors over time, the system achieves precise amplitude control effects while the temporal averaging of different weight-vector patterns reduces persistent sidelobe interference in any single direction, improving overall beamforming precision without electronic tuning components.
3Reliability
If tunable electronic components are used to achieve high beamforming gain, then transmission performance is improved, but device complexity increases
Solution Approach 1:
The patent extracts and removes the need for complex tunable electronic components (like PIN diodes) by using a different approach: pre-computed beamforming weight-vectors that are applied in time-division manner. The system achieves high transmission performance through intelligent signal processing and weight-vector selection rather than through complex hardware components, thereby simplifying the device architecture while maintaining or improving transmission performance.
Solution Approach 2:
The patent substitutes the mechanical/electronic tuning system (tunable components that physically or electrically adjust amplitude) with a computational system that selects from pre-defined weight-vectors. Instead of using complex electronic components to dynamically adjust amplitude, the system uses baseband processing to cycle through different weight-vector configurations, replacing complex hardware with simpler software-controlled signal processing.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmission reception point (TRP) may transmit, to a network node, capability information indicating a capability of the TRP to cycle through a set of beamforming weight-vectors when the TRP is performing a transmission. The TRP may receive, from the network node and based at least in part on the capability information, an indication of one or more beamforming-weight-vectors-cycling parameters. The TRP may perform the transmission by cycling through the set of beamforming weight-vectors based at least in part on the one or more beamforming-weight-vectors-cycling parameters. Numerous other aspects are described.