Dynamic allocation of leftover bandwidth in satellite communication network

The dynamic adjustment of leftover bandwidth allocation in satellite networks addresses inefficiencies by prioritizing terminals with higher demand and adapting to traffic patterns, enhancing throughput and QoS.

WO2026142810A1 Publication Date: 2026-07-02HUGHES NETWORK SYST
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Patent Information

Application Number
PCT/US2025/055715
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2025-04-02
Filing Date
2025-11-17
Publication Date
2026-07-02

AI Technical Summary

Technical Problem

Existing bandwidth allocation methods in satellite communication networks lead to inefficient utilization, thrashing, and low throughput due to uneven distribution of leftover bandwidth, which affects the Quality of Service (QoS) for various user traffic types.

Method used

A method and system for dynamically adjusting leftover bandwidth allocation in satellite networks based on real-time utilization rates, anticipated demand, and traffic priorities, including initial bandwidth boosts, utilization tracking, priority-based allocation, and responsive allocation for sudden spikes, to optimize bandwidth distribution.

Benefits of technology

Enhances the efficiency of bandwidth utilization, improves throughput, and ensures Quality of Service (QoS) by prioritizing terminals with higher demand and adapting to traffic patterns, thereby optimizing the use of available spectrum.

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Abstract

A method and system for distributing leftover bandwidth in a satellite communication network is provided. The method involves monitoring utilization rates of real-time leftover bandwidth allocations for terminals, calculating leftover bandwidth allocations based on these rates, and adjusting them with a scale that prioritizes allocations based on advertised demand. The system includes a bandwidth allocator configured to perform these tasks and a receiver to handle bursts transmitted within the allocated bandwidth. The method and system aim to optimize bandwidth distribution by considering factors such as anticipated demand, traffic priorities, and historical utilization rates.
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