Interference Management in Multi-Hop Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current multi-hop wireless networks face inefficiencies due to greedy beamforming acquisition methods that maximize individual link capacity without considering interference effects on neighboring nodes, leading to sub-optimal performance and increased interference.
Innovation Solution
Implement an interference-management system that measures and maps interference among nodes, adjusts beamforming weights to reduce interference, identifies and excludes interfering micro-routes, and employs time-division multiplexing to optimize network performance by reducing overall interference and maintaining strong link capacities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If greedy beamforming acquisition is used to maximize individual link capacity, then link capacity is improved, but network-wide interference increases
Solution Approach 1:
The system measures interference at receiving nodes and feeds back interference information to transmitting nodes. This feedback mechanism enables transmitting nodes to adjust their beamforming weights to reduce interference while maintaining link capacity, resolving the contradiction between individual link performance and network-wide interference
Solution Approach 2:
The system dynamically adjusts beamforming weights based on measured interference conditions. By changing the parameter of beamforming weights, the system optimizes both link capacity and interference levels, transforming the greedy approach into an adaptive one that considers network-wide performance
2Object-generated harmful factors
If beamforming weights are adjusted to reduce interference with neighboring nodes, then interference is reduced, but individual link capacity may decrease
Solution Approach 1:
The system applies partial adjustment to beamforming weights, reducing them only to the extent necessary to eliminate excessive interference while preserving sufficient capacity for reliable communication. This partial action resolves the contradiction by avoiding over-correction that would unnecessarily reduce link capacity
3Measurement precision
If the system measures and maps interference among all nodes, then interference management accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the network into transmitting nodes and receiving nodes, with each node independently measuring and reporting interference information. This segmentation reduces overall system complexity by distributing the measurement function across multiple nodes rather than requiring centralized measurement of all node pairs
Data Source
AI summary
In one embodiment, an interference-management system of a multi-hop wireless network may access an interference map indicating interference among network nodes, identify a plurality of links between network nodes, wherein one or more of the links are identified as golden links, generate a factor-graph representation comprising a set of first vertices corresponding to a respective set of second vertices, wherein each vertex pair is associated with an identified link, wherein, for each vertex pair, the first vertex is a variable node representing beamforming weight variables associated with the link and each second vertex is a function node representing a capacity equation associated with the link, wherein each vertex pair is assigned a capacity weight from a set of non-equal capacity weights based at least in part on the identified golden links, and determine one or more adjustments to one or more beamforming weights to reduce interference among the network nodes.