Software Configurable Air Interface Adaptation for Wireless Networks
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Solution Overview
Problem
Next-generation wireless networks need to support diverse traffic types and high throughput rates over varying channel conditions, requiring efficient and scalable techniques for establishing different air interface configurations.
Innovation Solution
The system and method for software-configurable air interface adaptation allow base stations to update their profiles with new configurations received from network controllers, enabling communication using previously unknown air interface settings, and notify wireless devices of these changes to adapt traffic flows accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If base stations use fixed air interface configurations, then device complexity is reduced, but adaptability to diverse traffic types and changing channel conditions deteriorates
Solution Approach 1:
The patent implements dynamic air interface configuration by enabling base stations to update their SoftAI profiles with new configurations received from network controllers. This allows the system to transition from static to dynamic configurations, adapting to diverse traffic types and changing channel conditions while maintaining manageable complexity through centralized profile management.
Solution Approach 2:
The patent changes the parameter state of air interface configurations by introducing software-configurable profiles that can be updated remotely. The SoftAI profile parameters can be modified to define new air interface configurations without changing the underlying hardware, enabling flexible adaptation through parameter updates rather than physical reconfiguration.
2Adaptability or versatility
If base stations support multiple air interface configurations, then versatility improves, but information management complexity worsens
Solution Approach 1:
The patent creates a universal SoftAI profile structure that can accommodate multiple air interface configurations through a standardized framework. The profile contains configuration information that can represent different air interface types, enabling a single data structure to serve multiple configuration purposes and simplifying information management across diverse configurations.
Solution Approach 2:
The patent introduces the SoftAI profile as an intermediary data structure between the network controller and base station. This profile acts as a mediator that carries configuration information, allowing the network controller to manage multiple configurations centrally while base stations simply need to process and apply the provided profiles, reducing information management complexity at the base station level.
3Productivity
If new air interface configurations are introduced, then network capability improves, but compatibility with existing devices deteriorates
Solution Approach 1:
The patent implements preliminary action by having the network controller proactively provide updated SoftAI profiles to base stations before new air interface configurations are needed. This advance preparation ensures that base stations already have the necessary configuration information ready, enabling seamless transitions to new configurations when required while maintaining backward compatibility with existing devices.
Solution Approach 2:
The patent enables dynamic configuration updates where base stations can adapt to new air interface configurations through software profile updates rather than hardware changes. This dynamic approach allows the network to introduce new capabilities progressively, maintaining compatibility with existing devices while enabling enhanced throughput when new configurations are deployed and supported.
Data Source
AI summary
A base station may update a SoftAI profile to obtain an updated SoftAI profile specifying a new air interface configuration that was unknown to the base station prior to updating the SoftAI profile. The base station may receive SoftAI configuration information from a network controller, and update the SoftAI profile based on the SoftAI configuration information. The updated SoftAI profile may define a new combination of physical layer parameters, a new waveform, a new modulation coding scheme (MCS), or any other AI configuration parameter, or collection of AI configuration parameters. The SoftAI configuration information, or a separate network instruction, may also specify one or more conditions for using the new air interface configuration to communicate traffic over a wireless link between the base station and a wireless device.


