Mobile Network-in-a-Box for Dynamic Warzone Communication
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Solution Overview
Problem
In wireless communication networks, especially in environments lacking stationary infrastructure, such as war zones, existing technologies face challenges in providing reliable and efficient communication due to the need for physically stationary network infrastructure, which is not feasible in transient conditions.
Innovation Solution
A mobile cellular network (MCN) communication system with a network-in-a-box (NIB) that includes all necessary components, allowing for self-contained communication and handover operations, and a method for dynamically reconfiguring data collection and reporting by mobile parameter-sensing nodes to manage bandwidth and adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stationary base stations and network infrastructure are deployed, then communication reliability is improved, but deployment feasibility deteriorates in transient environments such as war zones
Solution Approach 1:
The patent transforms the stationary network infrastructure into a mobile system by implementing a Network-in-a-Box (NIB) that can be relocated. The base station components are packaged in portable containers that can be moved by vehicles or other transport means, allowing the network to dynamically adapt to changing operational environments while maintaining communication reliability.
2Area of stationary object
If multiple NIBs are networked together to extend coverage, then network range is improved, but system complexity increases
Solution Approach 1:
Each NIB is designed as a self-contained unit that can independently provide cellular network services. The NIBs can operate autonomously or network together, providing universal functionality that simplifies the overall system architecture. The standardized interface and protocol allow multiple NIBs to be networked without requiring complex integration, as each unit maintains its independent operational capability.
3Measurement precision
If data collection frequency is increased to monitor changing conditions, then measurement precision is improved, but bandwidth consumption increases
Solution Approach 1:
The system dynamically adjusts the data collection frequency based on the operational state and environmental conditions. When conditions are stable, sampling occurs at lower frequencies to conserve bandwidth. When rapid changes are detected or critical events occur, the sampling rate increases automatically, optimizing the balance between measurement precision and bandwidth consumption.
Data Source
AI summary
Discretely-mobile parameter-sensing nodes, such as mobile phones, may be connected to a remote host. Each of the nodes is capable of sensing parametric values that are internal, and ambient to the node. The values may relate to atypical movement of a group of users, such as warfighters, that are associated with the nodes. Upon analysis of the atypical movement, the status (e.g., health) of a user associated with a node involved in such movement can be ascertained.


