Multi-Mode Receiver Switching for Spectral Efficiency Under ISI
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Solution Overview
Problem
Existing communications methods and systems are overly power hungry and spectrally inefficient, failing to effectively manage non-linearity and inter-symbol interference (ISI) in communication channels.
Innovation Solution
The implementation of a low-complexity, highly-spectrally efficient communication system using a multi-mode transmitter and receiver configuration, which includes a mapper, pulse shaping filter, timing pilot insertion, equalization and sequence estimation circuit, and de-mapping circuit, optimized for partial response signaling to improve tolerance to non-linearity and ISI.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional communications methods are used, then power consumption is high, but spectral efficiency is poor
Solution Approach 1:
The receiver dynamically switches between different operating modes (first mode with near-zero ISI filter and second mode with partial response filter) based on channel conditions and signal characteristics. This dynamic adaptation allows the system to optimize the trade-off between power consumption and spectral efficiency by selecting the appropriate mode for each transmission scenario.
Solution Approach 2:
The system changes the filter characteristics parameter by selecting between different filter types (near-zero ISI versus partial response) depending on the operating mode. This parameter change enables the receiver to achieve better spectral efficiency in the second mode while managing power consumption through selective mode activation based on signal quality and channel conditions.
2Use of energy by moving object
If near-zero ISI pulse shaping filter is used, then power consumption is reduced, but spectral efficiency is limited
Solution Approach 1:
The receiver dynamically switches between different operating modes (first mode with near-zero ISI filter and second mode with partial response filter) based on channel conditions and signal characteristics. This dynamic adaptation allows the system to optimize the trade-off between power consumption and spectral efficiency by selecting the appropriate mode for each transmission scenario.
3Productivity
If partial response pulse shaping filter is used, then spectral efficiency is improved, but tolerance to non-linearity and ISI decreases
Solution Approach 1:
The receiver dynamically switches between different operating modes (first mode with near-zero ISI filter and second mode with partial response filter) based on channel conditions and signal characteristics. This dynamic adaptation allows the system to optimize the trade-off between power consumption and spectral efficiency by selecting the appropriate mode for each transmission scenario.
Solution Approach 2:
The system uses feedback mechanisms to detect channel conditions, signal quality, and error rates, then adjusts the operating mode accordingly. This feedback enables the receiver to switch to the first mode when non-linearity and ISI are severe, thereby maintaining reliability while still allowing spectral efficiency improvements when conditions permit.
4Adaptability or versatility
If multi-mode operation is implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The receiver dynamically switches between different operating modes (first mode with near-zero ISI filter and second mode with partial response filter) based on channel conditions and signal characteristics. This dynamic adaptation allows the system to optimize the trade-off between power consumption and spectral efficiency by selecting the appropriate mode for each transmission scenario.
Data Source
AI summary
A receiver may be dynamically configurable, during run-time, into a plurality of modes of operation. In a first mode of operation the receiver may demodulate received signals having relative low inter-symbol correlation using a near zero ISI filter and symbol slicing. In a second mode of operation the receiver may demodulate received signals having relatively high inter-symbol correlation using an input filter configured to achieve a desired total partial response and a sequence estimation algorithm.