Rate Split Transmitter Interference Management
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Solution Overview
Problem
Current communication systems face challenges in efficiently managing interference channels, particularly when the strength of the interference signal is moderate, as the Han-Kobayashi method may not always achieve optimal performance in such scenarios.
Innovation Solution
A communication method that splits a transmission message into multiple sub-messages and allocates different transmission powers to each, allowing receivers to decode certain sub-messages while regarding others as noise, based on the status of interference channels, enabling effective interference elimination and desired signal extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the Han-Kobayashi method is used to remove interference by splitting transmission messages into common and private messages, then interference elimination capability is improved, but system performance is not optimal when interference signal strength is moderate
Solution Approach 1:
The transmission message is segmented into multiple sub-messages (common messages and private messages) with different decodability properties. Common messages are decodable by multiple receivers while private messages are decodable only by the intended receiver. This segmentation allows flexible power allocation and interference management strategies that adapt to moderate interference conditions, resolving the contradiction between interference elimination capability and overall system performance.
Solution Approach 2:
The system dynamically changes transmission power parameters allocated to different sub-messages based on interference channel conditions. By adjusting power allocation parameters adaptively, the system optimizes performance in moderate interference scenarios where fixed Han-Kobayashi approaches fail, thereby improving both interference elimination capability and overall system productivity.
2Adaptability or versatility
If transmission power is allocated to enable adjacent receiver to decode certain sub-messages, then interference channel utilization is improved, but decoding complexity increases
Solution Approach 1:
The system employs dynamic power allocation where transmission powers for different sub-messages are adjusted based on real-time interference channel conditions. This dynamic approach allows the system to adaptively utilize interference channels while managing decoding complexity through structured power relationships (A>B>C>D), resolving the contradiction between adaptability and device complexity.
Data Source
AI summary
Each of a first transmitter and a second transmitter uses a rate split scheme. Each of the first transmitter and the second transmitter may transmit at least four sub-messages, and different transmission powers may be allocated to the at least four sub-messages. Also, each of receivers may cooperate with each other, may share sub-messages that act as interferences, and may extract desired messages using the shared sub-messages.