Satellite Bandwidth Optimization via Interference Reduction
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Solution Overview
Problem
Satellite communications systems face interference between channels, which hampers bandwidth optimization and efficient data transmission as demand increases.
Innovation Solution
The system employs uplink and downlink filters in satellites, terminals, and gateways to identify and minimize interference by adjusting filter characteristics and optimizing bandwidth utilization, using a process that includes identifying adjacent frequency bands and applying simulated annealing to reduce interference while maximizing bandwidth use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bandwidth utilization is increased to meet growing data transmission demand, then productivity improves, but interference between channels worsens
Solution Approach 1:
The patent changes the bandwidth parameters of adjacent frequency bands by identifying specific reduction amounts for first and third bands based on interference levels, while maintaining the second band's bandwidth. This parameter adjustment reduces interference between channels while optimizing overall bandwidth utilization to meet data transmission demands.
Solution Approach 2:
The patent applies selective bandwidth reduction only to specific frequency bands (first and third bands) that are causing interference, rather than uniformly reducing all bandwidths. This localized approach maintains high data transmission capacity in non-interfering bands while eliminating interference in problematic areas.
2Reliability
If filter characteristics are adjusted to reduce interference, then reliability improves, but device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where a determination module identifies interference levels between adjacent frequency bands, and based on this feedback, a reduction module adjusts the bandwidth parameters of affected bands. This closed-loop system improves signal quality while automating the filter configuration process to manage complexity.
Data Source
AI summary
A computer comprises a processor programmed to identify a plurality of sets of channels. Each set of channels includes first, second and third channels. The first and second channels in each set include uplinks respectively in first and second neighbor beams and have a first bandwidth overlap. The first and third channels in each set share a target and a third downlink included in the third channel has a second bandwidth overlap with a first downlink included in the first channel. the second bandwidth overlap includes a bandwidth corresponding to at least a portion the first bandwidth overlap, such that a signal spectrum in the first bandwidth overlap is included in the second bandwidth overlap. The computer is further programmed to optimize a bandwidth reduction across the plurality of sets of channels.