Codeword Synthesis Circuit for Antenna Array Configuration Switching
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Solution Overview
Problem
Wireless communications systems face challenges in dynamically adjusting RF beamforming to maintain coverage and performance under varying operating conditions, such as changes in antenna array configurations due to heat or power management, without affecting the radiation pattern or user experience.
Innovation Solution
The implementation of a codeword synthesis circuit in wireless nodes that determines and dynamically selects different sets of codewords to form identical RF beams using varying numbers of antenna elements, allowing seamless switching between antenna array configurations while maintaining consistent radiation patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the wireless node uses a full set of antenna elements for RF beamforming, then the radiation pattern and coverage performance are optimized, but the device generates excessive heat and consumes more power
Solution Approach 1:
The system dynamically adjusts the antenna array configuration by switching between full set and subset of antenna elements based on thermal and power conditions. The codeword synthesis circuit continuously adapts the beamforming parameters to maintain radiation pattern consistency while responding to changing operating conditions, making the system flexible and responsive rather than static.
Solution Approach 2:
The invention changes the operational parameters of the antenna array by synthesizing codewords that map subset antenna configurations to the same radiation patterns as the full antenna set. This parameter transformation allows the system to operate with fewer antenna elements while maintaining the same beamforming performance, thereby reducing heat generation and power consumption.
2Use of energy by stationary object
If the wireless node switches antenna array configurations to reduce heat and power consumption, then thermal management improves, but the radiation pattern may change affecting coverage
Solution Approach 1:
The codeword synthesis circuit creates synthetic codewords that replicate the radiation patterns of the full antenna configuration using only a subset of antenna elements. This copying approach allows the system to achieve the same beamforming performance and coverage characteristics without using all antenna elements, thereby reducing power consumption while maintaining coverage consistency.
Solution Approach 2:
The synthesized codewords provide universal beamforming capability across different antenna configurations. The same synthesized codeword set can be used whether the system operates with full or reduced antenna arrays, making the beamforming function universal and independent of the specific antenna configuration being used.
3Temperature
If the wireless node uses a subset of antenna elements, then heat and power consumption are reduced, but the number of available beamforming configurations decreases
Solution Approach 1:
The invention transforms the beamforming parameter space by synthesizing codewords that achieve the same radiation patterns with fewer antenna elements. This parameter transformation compensates for the reduced number of physical antenna elements, effectively maintaining the versatility of beamforming configurations through mathematical synthesis rather than physical diversity.
Solution Approach 2:
The codeword synthesis circuit acts as an intermediary that bridges the gap between reduced antenna configurations and required beamforming performance. It translates the limitations of subset antenna elements into equivalent beamforming capabilities, mediating between the physical constraint and the functional requirement.
4Adaptability or versatility
If the wireless node dynamically switches between different antenna configurations, then adaptability to operating conditions improves, but the system complexity increases
Solution Approach 1:
The system performs preliminary synthesis of codewords for different antenna configurations and stores them in codebooks before actual beamforming operations. This advance preparation allows the wireless node to quickly switch between configurations by simply selecting pre-computed codewords, rather than performing complex real-time synthesis, thereby reducing the computational burden during dynamic operation.
Solution Approach 2:
The system implements dynamic adaptation by maintaining multiple synthesized codebooks corresponding to different antenna configurations and selectively activating them based on thermal and power conditions. This dynamic approach allows the system to respond to changing operating conditions while the actual switching logic remains relatively simple, as it only needs to select between pre-prepared configurations.
Data Source
AI summary
Beamforming codebook synthesis in a wireless communications system (WCS) is provided. A wireless node simultaneously emits multiple reference beams in a coverage area based on a set of codewords that is optimized for a specific number of antenna elements in an antenna array. The wireless node may need to emit the reference beams using a different number of the antenna elements in the antenna array. Herein, the wireless node is configured to determine a different set(s) of codewords that is fine tuned for forming an identical number of the reference beams from a different number of the antenna elements and steered toward identical directions. In addition, the wireless node can dynamically select an appropriate set of codewords in response to different operating conditions. As such, it is possible to switch transparently, from both wireless node and end user perspectives, between different antenna array configurations under different operating conditions.