Closed-Form Beam Nulling for Self and Cross-Sector Interference
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently suppressing self-interference and cross-sector interference using iterative, non-closed-form beam nulling algorithms, which require significant computing power and memory, and legacy receivers struggle to compensate for distortion caused by joint self and cross-sector interference suppression.
Innovation Solution
A closed-form beam-nulling algorithm is used to transform a DL beamforming matrix into a transformed matrix that suppresses both self-interference and cross-sector interference, accompanied by pre-distorting data symbols to compensate for distortion, reducing complexity and improving receiver compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iterative, non-closed-form beam nulling algorithms are used to suppress self-interference and cross-sector interference, then interference suppression is achieved, but computing power requirements increase significantly (multiple teraflops)
Solution Approach 1:
The patent transforms the beam nulling problem from an iterative optimization approach to a closed-form mathematical solution. By changing the parameter representation and using matrix operations, the solution achieves the same interference suppression without requiring multiple teraflops of computing power, thus resolving the contradiction between reliability and power consumption.
Solution Approach 2:
The patent replaces the iterative computational process with a direct closed-form mathematical expression. This substitution eliminates the need for repeated calculations and significantly reduces the computing power required while maintaining the interference suppression function.
2Reliability
If LUT predistortion techniques are used to compensate for beam nulling distortion, then distortion compensation is achieved, but memory requirements increase significantly (at least 412 GB)
Solution Approach 1:
The patent changes the approach from lookup table-based predistortion to a closed-form mathematical expression for distortion compensation. This parameter change eliminates the need for large memory storage while still achieving accurate distortion compensation, resolving the contradiction between reliability and memory quantity.
Solution Approach 2:
The patent replaces the heavy LUT data structure with a lightweight closed-form formula. This substitution uses minimal memory resources while providing the same distortion compensation function, effectively replacing expensive memory storage with a computationally efficient mathematical operation.
3Reliability
If beam nulling is used to suppress only self-interference, then self-interference is reduced, but cross-sector interference becomes dominant and communication quality deteriorates
Solution Approach 1:
The patent merges the suppression of self-interference and cross-sector interference into a single unified beam nulling approach. By simultaneously addressing both types of interference through a combined closed-form solution, the system prevents cross-sector interference from becoming dominant while maintaining self-interference suppression, thus resolving the contradiction between these two harmful factors.
Solution Approach 2:
The patent creates a universal beam nulling solution that handles both self-interference and cross-sector interference suppression. This multi-functional approach allows the same algorithm to address multiple types of interference simultaneously, preventing any single interference type from becoming dominant and compromising communication quality.
4Reliability
If closed-form beam-nulling algorithm is used to suppress both self-interference and cross-sector interference, then interference suppression is improved, but distortion of transmitted data symbols occurs
Solution Approach 1:
The patent applies preliminary action by pre-distorting the transmitted data symbols before beam nulling. This anticipatory distortion compensation ensures that when the closed-form beam nulling algorithm processes the symbols, the distortion caused by beam nulling is already counteracted, thus resolving the contradiction between interference suppression and data symbol integrity.
Solution Approach 2:
The patent converts the harmful distortion effect of beam nulling into a beneficial controlled process. By using closed-form mathematics to precisely calculate and compensate for the distortion, the system turns the previously harmful side effect into a manageable and compensatable parameter, maintaining data symbol accuracy while achieving interference suppression.
Data Source
AI summary
An apparatus (300), includes multiple sector antennas, each sector antenna of the sector antennas includes a reception array of antenna array elements (215) and a transmission array of antenna array elements (205), and wherein each sector antenna is configured for transmitting signals to devices (712, 722, 732) within a sector and for receiving signals, using the reception array, from devices within the sector; and processing circuitry configured to transform a downlink beamforming matrix into a transformed downlink beamforming matrix using a closed-form expression, wherein the transformed downlink beamforming matrix is configured to suppress both self-interference and cross-sector interference at individual receiver antenna array elements in a multi-sector antenna arrangement, generate beamformed data symbols based on the transformed downlink beamforming matrix, and deliver the beamformed data symbols associated with the current sector to a downlink transmit antenna included in the multi-sector antenna arrangement.