Adaptive Windowing for Adjacent Channel Interference Rejection
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Solution Overview
Problem
Current wireless communication networks face challenges in maximizing network capacity due to issues like adjacent channel interference (ACI), out-of-band emission (OOB), and peak-to-average power ratio (PAPR), which are exacerbated by the near-far problem and limitations in power control and synchronization, leading to reduced signal quality and increased power consumption.
Innovation Solution
The implementation of adaptive windowing methods at both the transmitter and receiver, combined with alignment signals, to optimize network capacity by determining network normalized received power (NNRP) for each link, allowing for dynamic adjustment of window durations and alignment signal weights based on relative received power, thereby minimizing interference and maximizing spectral efficiency while maintaining standard frame structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If power control is used to reduce adjacent channel interference, then interference is reduced, but network capacity is limited and system flexibility is reduced
Solution Approach 1:
The patent applies dynamic windowing where the window duration is adaptively adjusted based on the received power levels of different links. The base station dynamically determines optimal window durations for each user link, allowing the system to balance interference reduction with capacity maintenance in real-time, resolving the contradiction between static power control and dynamic interference management
Solution Approach 2:
The patent changes the parameter of window duration from a fixed value to an adaptive parameter that varies with received power levels. By adjusting window durations as a function of link received power, the system achieves flexible interference rejection without the capacity limitations of conventional power control approaches
2Object-affected harmful factors
If strict timing and frequency synchronization is implemented, then adjacent channel interference is reduced, but user equipment power consumption increases and device complexity increases
Solution Approach 1:
The patent extracts the interference rejection function from the synchronization process and implements it through windowing at the receiver. Instead of requiring continuous synchronization tracking, the system uses received power information to determine optimal window durations, separating the interference mitigation function from the synchronization function and reducing UE power consumption
Solution Approach 2:
The receiver performs self-adjustment by using its own received power measurements to determine optimal window durations without requiring continuous synchronization signals or complex timing adjustments. The system serves itself by adaptively selecting window parameters based on local received power conditions
3Object-affected harmful factors
If strict synchronization is used, then interference is reduced, but the same waveform parameters must be used by all links, reducing adaptability
Solution Approach 1:
The patent applies local quality by allowing different window durations for different links based on their received power levels. Each link can have customized window parameters adapted to its specific interference conditions, enabling waveform parameter adaptability while maintaining interference rejection through localized optimization rather than uniform synchronization
4Object-generated harmful factors
If windowing is applied to reduce out-of-band emission, then OOB emission is reduced, but computational complexity increases
Solution Approach 1:
The patent applies partial action by using simple rectangular windowing rather than complex optimal window functions. The receiver applies windowing only to the necessary extent to achieve interference rejection, using straightforward correlation-based processing rather than computationally intensive optimal windowing algorithms, thus reducing complexity while maintaining effectiveness
Data Source
AI summary
A system and method for adaptively utilizing transmitter windowing, receiver windowing and alignment signals for minimizing interference and maximizing capacity and energy efficiency based upon the received power ratios of links in adjacent bands of a cellular communication network.