Cooperation Transmission Interference Neutralization
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Solution Overview
Problem
Existing relay technologies are inadequate in managing interference and optimizing transmission in multi-hop cooperation transmission scenarios, where multiple source nodes transmit signals to multiple destination nodes, as they primarily focus on diversity and multiplexing gains without effective interference neutralization.
Innovation Solution
A method involving source, relay, and destination nodes that divide and encode transmission messages using Gaussian random codebooks, determining transmission directions based on channel gains to optimize data stream transmission and relay signal extraction, thereby neutralizing interference through polynomial-based transmission direction determination and inverse matrix processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If relay nodes simply forward received signals without processing, then device complexity is reduced, but interference management capability deteriorates
Solution Approach 1:
The relay node performs preliminary processing by extracting relay signals from received data streams before forwarding them to destination nodes. This preliminary action enables the relay to prepare signals for subsequent interference neutralization at the destination, resolving the contradiction by adding necessary processing while maintaining system reliability
Solution Approach 2:
The relay node acts as an intermediary that receives data streams from source nodes, extracts specific relay signals, and forwards them to destination nodes. This intermediary role allows the system to manage interference effectively while keeping individual node complexity manageable
2Device complexity
If transmission directions are fixed, then device complexity is reduced, but adaptability to channel variations deteriorates
Solution Approach 1:
The system dynamically determines transmission directions based on channel gains between nodes. By making transmission directions adaptive rather than fixed, the system can respond to channel variations while maintaining manageable complexity through polynomial-based determination methods
3Device complexity
If interference is not neutralized, then processing complexity is reduced, but signal quality at destination deteriorates
Solution Approach 1:
The system converts harmful interference into beneficial information by using polynomial functions of channel gains to determine transmission directions. This approach neutralizes interference at the destination while maintaining reasonable processing complexity through structured mathematical relationships
Data Source
AI summary
A method for controlling a first node transmitting a transmission message to a plurality of second nodes may be provided. The method includes dividing the transmission message into at least one sub-message, encoding the at least one sub-message to a data stream, determining a first transmission direction of the data stream toward at least one of the plurality of second nodes, based on a polynomial of a channel gain between the first node and the at least one of the plurality of second nodes, and transmitting the data stream to the at least one of the plurality of second nodes, based on the determined first transmission direction.