IFDMA Receiver Architecture for Signal Separation
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Solution Overview
Problem
In wireless communication systems, there is a need for an efficient method to process and separate composite signals received from multiple communication units using Interleaved Frequency Division Multiple Access (IFDMA) and DFT-Spread-OFDM, as existing methods struggle with peak-to-average power ratio and complex equalization.
Innovation Solution
A receiver architecture and method that involves sampling the composite signal at a suitable rate, aligning and orthogonal recombining symbol streams based on channel estimates and specific sampling phases, and performing equalization using techniques like time-domain or frequency-domain equalization to separate signals from different communication units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple communication units transmit signals simultaneously on orthogonal frequency components using IFDMA, then the bandwidth utilization and communication efficiency are improved, but the complexity of processing and separating the composite signal at the receiver increases
Solution Approach 1:
The composite signal is segmented into individual user signals through frequency-domain separation. The receiver divides the received composite signal into K separate sub-carrier sets, each corresponding to a specific communication unit, enabling independent processing and reducing overall processing complexity while maintaining high communication efficiency
Solution Approach 2:
The patent performs partial equalization by applying equalization only to the sub-carriers assigned to each user rather than the entire frequency spectrum. This selective approach reduces the computational burden compared to full-spectrum equalization while still achieving effective signal separation and maintaining productivity
2Reliability
If block repetition is used to increase bandwidth occupation by a single subscriber signal, then the frequency domain orthogonality between users is improved, but the peak-to-average power ratio increases
Solution Approach 1:
The patent transforms the signal from time-domain block repetition to frequency-domain orthogonal allocation. By changing the parameter of signal representation from time-domain blocks to frequency-domain sub-carrier assignments, the system maintains orthogonality while avoiding the high peak power characteristics associated with time-domain block repetition methods
3Device complexity
If simple equalization methods are used for IFDMA signals, then the computational complexity is reduced, but the signal separation accuracy deteriorates
Solution Approach 1:
The patent introduces frequency-domain orthogonal separation as an intermediary step between reception and equalization. This intermediary process pre-separates the composite signal into user-specific components based on their assigned sub-carriers, allowing subsequent equalization to operate on already-separated signals with reduced complexity while maintaining high separation accuracy
Data Source
AI summary
A method and receiver for processing a composite signal (112) in a wireless communication system (100) is provided. The method includes receiving a composite signal (112) within a channel bandwidth, wherein the composite signal comprises one or more symbol streams (108, 110, 116) from a plurality of communication units (103, 104). The method also includes sampling the composite signal at a sampling rate, wherein the sampling rate comprises one of equal to a symbol rate of the composite signal or larger than the symbol rate of the composite signal. In addition, the method includes selecting a symbol sampling phase for each of the symbol streams from a plurality of communication units. The symbol streams from each of the communication units are aligned to produce an aligned composite signal by separating the symbol streams for each of the plurality of communication units and orthogonal recombining the symbol streams for each of the plurality of communication units based on the selected symbol sampling phase for each of the plurality of signals. The symbol streams are also separated based on the aligned composite signal.


