Satellite Beam Frequency Allocation for NTN-Terrestrial Interference
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Solution Overview
Problem
The challenge in non-terrestrial networks (NTN) is the limited availability of frequency resources, leading to interference issues due to variable satellite coverage and high probabilities of overlapping services, especially with terrestrial systems, which complicates optimal frequency resource allocation.
Innovation Solution
A method and apparatus using multi-agent deep reinforcement learning to allocate frequency resources, considering terrestrial system interference and minimum performance conditions, where beam controllers sequentially allocate resources based on distance and interference levels, updating neural network policies to minimize interference while maintaining network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frequency resources are allocated to multiple beams in NTN, then network coverage and service capacity are improved, but interference to terrestrial systems increases
Solution Approach 1:
The patent applies local quality by assigning different frequency resources to different beams based on their specific interference characteristics. Beam controllers sequentially allocate frequency resources to managed beams according to a determined allocation order, where each beam receives frequency resources tailored to its local interference environment. This allows the system to maintain high network service capacity while minimizing interference to terrestrial systems on a beam-by-beam basis.
Solution Approach 2:
The patent implements dynamics through the use of multi-agent deep reinforcement learning that enables adaptive and dynamic frequency resource allocation. The beam controllers learn optimal frequency allocation strategies through cumulative interference as a learning objective, allowing the system to dynamically adjust frequency resources in response to changing interference conditions and network demands, thereby resolving the contradiction between service capacity and interference mitigation.
2Quantity of substance
If frequency resources are shared between NTN and terrestrial systems, then frequency resource utilization is improved, but service performance reliability deteriorates
Solution Approach 1:
The patent applies feedback through the multi-agent deep reinforcement learning framework where cumulative interference serves as a learning objective. The beam controllers continuously monitor interference levels and adjust frequency resource allocation decisions based on this feedback. This feedback mechanism ensures that frequency resources are shared efficiently between NTN and terrestrial systems while maintaining service performance reliability by preventing interference from exceeding acceptable thresholds.
3Object-affected harmful factors
If beam controllers allocate frequency resources sequentially based on allocation order, then interference management is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the frequency resource allocation task into independent beam-level decisions. Each beam controller independently allocates frequency resources to its managed beam according to a predetermined allocation order, rather than requiring complex centralized coordination. This segmentation reduces system complexity while maintaining effective interference management through localized decision-making at each beam controller.
Data Source
AI summary
An operation method of a satellite in a non-terrestrial network may comprise: determining a frequency resource allocation order for allocating frequency resources to beams in consideration of a frequency band of a terrestrial system and degrees of interference to the terrestrial system; configuring a minimum performance condition for maintaining a service of the non-terrestrial network, the minimum performance condition being applied to each of the beams; configuring an operating condition of a multi-agent deep reinforcement learning for each beam controller of the satellite; and controlling the each beam controller to sequentially allocate the frequency resources to a managed beam according to the frequency resource allocation order while considering the minimum performance condition.