Scalable RF Beamforming Architecture With Iterative Antenna Grouping
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Solution Overview
Problem
Conventional beamformers are designed for a fixed number of transmit or receive antennas, leading to increased system cost due to hardware being optimized for the worst-case scenario, even when all antennas are not used for communication.
Innovation Solution
A method to refine receiver and transmitter antenna weight vectors by iteratively grouping and adjusting complex scaling factors to maximize output power, allowing for scalable antenna array configurations without requiring additional RF front end processing modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If beamforming hardware is designed for the maximum number of transmit/receive antennas (worst case), then the system can support the full antenna array capability, but the overall system cost increases
Solution Approach 1:
The patent implements dynamic beamforming where the system adapts the number of active transmit and receive antennas based on current communication conditions. The beamforming hardware dynamically configures which antennas are active and how they are grouped, rather than being fixed for the maximum case. This allows the system to maintain full capability when needed while reducing complexity and cost for typical operating conditions.
Solution Approach 2:
The patent divides the antenna arrays into multiple groups (first plurality of transmit antenna groups and first plurality of receive antenna groups) that can be independently configured. Each group can be activated or deactivated based on communication requirements, allowing the system to segment the full antenna capability into manageable units that reduce hardware complexity when not all antennas are needed.
2Device complexity
If conventional beamformers use a fixed set of weight (amplitude and phase) to direct the antenna arrays, then the implementation is simple, but the antenna array gain is limited
Solution Approach 1:
The patent implements adaptive beamforming that uses feedback from channel conditions to dynamically adjust the complex weights (amplitude and phase) applied to each antenna group. The system measures channel state information and uses this feedback to optimize the beamforming weights in real-time, thereby achieving higher antenna array gain compared to fixed weight conventional beamformers.
Solution Approach 2:
The patent changes the beamforming parameters (complex weights including amplitude and phase) dynamically based on communication conditions rather than using fixed values. The system adjusts these parameters adaptively to maximize antenna array gain while maintaining manageable implementation complexity through structured weight adjustment mechanisms.
Data Source
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AI summary
An apparatus and a method for configuring antenna arrays for scalable radio frequency (RF) architecture are disclosed. A subset of antenna arrays are grouped into K groups and a receive or transmit weight vector is applied to each of the antenna arrays in each of the K groups. A channel response is measured for each of the antenna in the K groups. The response is summed for each group and complex scaling factors are calculated based on the summed response. Based on the scaling factors the antenna weight vectors are updated and the updated weight vectors are applied to the antenna arrays. The steps of grouping the antennas and refining the weight vectors are performed till the antenna weight vectors reach a steady point, i.e. the current antenna weight does not improve the beamforming gain by a predetermined threshold in comparison to the previous antenna weight.