Tethering Service for Dynamic Wireless Channel Allocation
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Solution Overview
Problem
Existing wireless RF communication technologies lack efficient methods for dynamically configuring tethering connections between devices to optimize bandwidth allocation and service levels, particularly in scenarios where multiple devices share wireless resources.
Innovation Solution
Implementing a tethering service that allows host devices to query and allocate wireless channels and parameters based on the attributes of tethered devices, using a channel database to select available channels such as TV white spaces and guard bands, and dynamically adjusting parameters like bandwidth and QoS to meet the needs of connected devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless channels are dynamically allocated based on device attributes, then bandwidth allocation efficiency is improved, but system complexity increases
Solution Approach 1:
A tethering service acts as an intermediary between host devices and tethered devices, managing the complex task of channel database queries and parameter allocation. The service receives device attributes, queries the channel database, and returns optimized tethering parameters, thereby improving bandwidth allocation efficiency while shielding individual devices from system complexity
Solution Approach 2:
The system dynamically changes tethering parameters (bandwidth allocation, QoS settings, channel selection) based on device attributes and current network conditions. By adjusting these parameters in response to varying conditions, the system achieves efficient bandwidth allocation without requiring complex permanent configurations
2Quantity of substance
If multiple devices share wireless resources, then resource utilization is improved, but service quality for individual devices deteriorates
Solution Approach 1:
The system applies different QoS parameters and bandwidth allocations to different tethered devices based on their specific attributes and service requirements. Each device receives customized service quality parameters (such as priority levels, bandwidth guarantees) while sharing the common wireless resource pool, thus maintaining high service quality for each device even as multiple devices share resources
Solution Approach 2:
The tethering service dynamically adjusts resource allocation parameters based on real-time device attributes and network conditions. As devices join or leave the network, or as their requirements change, the service reconfigures bandwidth allocation and QoS parameters dynamically, ensuring that service quality is maintained while maximizing overall resource utilization
3Device complexity
If tethering parameters are statically configured, then device complexity is reduced, but adaptability to different scenarios deteriorates
Solution Approach 1:
The tethering service automatically queries the channel database and determines optimal parameters based on device attributes without requiring manual configuration. The system performs self-service by autonomously selecting channels, setting bandwidth allocations, and configuring QoS parameters, thereby achieving high adaptability while keeping individual devices simple
Solution Approach 2:
The channel database pre-stores information about available wireless channels and their characteristics. Before actual tethering occurs, the system queries this database to obtain channel availability and suitability information, allowing it to make informed parameter selections in advance. This preliminary preparation enables adaptive configuration without adding complexity to the tethering process itself
Data Source
AI summary
Techniques for tethering parameters for a tethering connection are described. Implementations, for example, enable a tethered connection between a tethered device and a host device to be provisioned in various ways.