Self-Interference Noise Calculator for Full Duplex Wireless Systems
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Solution Overview
Problem
Current 5G wireless communication systems face challenges in achieving full duplex transmission on multiple frequency bands due to self-interference from antennas, particularly in MIMO systems, which affects signal accuracy and spectrum efficiency.
Innovation Solution
A self-interference noise calculator is used to generate adjusted signals that compensate for interference by combining transmission signals with respective weights, allowing for full duplex transmission on multiple frequency bands, including 4G and 5G bands, by utilizing a network of processing elements and circuitry such as bit manipulation, multiplication, and accumulation units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full duplex transmission is implemented on multiple frequency bands, then spectrum efficiency is improved, but self-interference from antennas increases
Solution Approach 1:
The patent calculates self-interference noise characteristics and uses them to generate adjusted signals that compensate for the interference. By characterizing the harmful self-interference and converting it into a compensatory signal, the system transforms the harmful effect into a beneficial cancellation mechanism, enabling full duplex transmission on multiple frequency bands despite the presence of self-interference
Solution Approach 2:
The patent introduces an intermediary processing system that includes bit manipulation units, multiplication units, and accumulation units. This intermediary calculates self-interference noise and generates adjusted signals that mediate between the transmitting and receiving antennas, allowing simultaneous transmission and reception on multiple frequency bands by canceling out the self-interference through this intermediary processing
2Productivity
If multiple antennas are used for MIMO transmission, then data transmission capacity is improved, but interference between antennas increases
Solution Approach 1:
The patent applies the same principle to MIMO systems by calculating self-interference noise for each antenna and generating adjusted signals that compensate for the interference. This converts the harmful inter-antenna interference into a beneficial cancellation effect, maintaining high data transmission capacity while mitigating the interference between co-located antennas
3Measurement precision
If self-interference compensation is implemented, then signal reception accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the self-interference compensation process into distinct functional units: bit manipulation units for processing individual bits, multiplication units for applying weights and coefficients, and accumulation units for summing the adjusted signals. This segmentation allows the complex compensation process to be implemented through modular, manageable components that can be efficiently processed
Data Source
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AI summary
Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator that compensates for the self‑interference noise generated by power amplifiers at harmonic frequencies of a respective wireless receiver. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate the adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is receivable by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same or different frequency band as the wireless receiver is receiving.