Relay Node Lattice Coding for Multi-Node Interference Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In multi-node communication systems, existing relay node schemes face challenges such as increased computation complexity in decode and forward schemes and interference issues in compress and amplify schemes, particularly in multi-pair environments, which affect power efficiency and communication distance.
Innovation Solution
The proposed solution involves using a relay node equipped with a receiver to decode and encode signals using a nested lattice code chain, reducing computation complexity and noise interference by estimating pairwise lattice code sum signals and transmitting these signals to both the base station and user nodes, employing lattice encoding, dithering, and mixing techniques to optimize channel power constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If decode and forward scheme is used in relay node, then communication reliability is improved, but computation complexity increases
Solution Approach 1:
The patent segments the communication process into two distinct phases: an uplink phase where relay nodes receive signals from source nodes, and a downlink phase where relay nodes transmit decoded signals to destination nodes. This segmentation allows the relay node to process signals sequentially rather than simultaneously, reducing computation complexity while maintaining communication reliability through the DF scheme.
Solution Approach 2:
The patent implements periodic action by dividing communication into alternating uplink and downlink time slots. During uplink slots, relay nodes receive and decode signals; during downlink slots, they transmit the decoded signals. This periodic structure reduces the instantaneous computation burden on relay nodes while ensuring reliable communication through systematic signal processing.
2Device complexity
If compress and forward or amplify and forward scheme is used in relay node, then computation complexity is reduced, but interference and noise cancellation constraints increase
Solution Approach 1:
The patent introduces lattice code as an intermediary structure that facilitates signal processing at relay nodes. By mapping signals to lattice code structures, the system enables efficient decoding at relay nodes without requiring complex interference cancellation algorithms, thus reducing computation complexity while managing interference through the structured code design.
Solution Approach 2:
The patent changes the parameter representation of signals by transforming them into lattice code domains. This parameter transformation allows relay nodes to work with structured algebraic representations rather than raw signals, simplifying the processing requirements and reducing computation complexity while maintaining the ability to handle interference through code-based separation.
3Productivity
If multiple relay nodes communicate simultaneously in multi-pair environment, then communication throughput is improved, but interference between signals increases
Solution Approach 1:
The patent segments the multi-pair communication into separate uplink and downlink phases, allowing multiple relay nodes to operate simultaneously only within each phase rather than across phases. This temporal segmentation reduces interference between simultaneous transmissions while maintaining high throughput through efficient resource utilization in each phase.
Solution Approach 2:
The patent introduces a temporal dimension to the communication structure by organizing transmissions in alternating uplink and downlink time slots. This dimensional organization allows multiple relay nodes to communicate simultaneously within each time slot while preventing interference between opposite-direction transmissions, thereby increasing throughput without excessive interference.
Data Source
AI summary
An apparatus for bidirectional communication between multi-nodes using a relay node receives 2M signals, encoded using a nested lattice code chain, from a base station and M user nodes in a predetermined time interval, estimates M pairwise lattice code sum signals between the base station and the M user nodes based on the nested lattice code chain with respect to the 2M encoded signals, encodes the M pairwise lattice code sum signals to broadcasting codewords to generate M encoded signals after the predetermined time interval has ended, and transmits the M encoded signals to the base station and the M user nodes.