Wireless Medium-Based Transmission Parameter Adaptation

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Solution Overview

Problem

Existing wireless local area networks (WLANs) face inefficiencies in using the radio frequency (RF) medium due to collisions and interference among devices accessing shared communication channels, leading to reduced throughput and increased delays in crowded network environments.

Innovation Solution

Implementing medium-based transmission parameter adaptation by obtaining medium state information and generating candidate transmission parameters to optimize bandwidth and time usage, allowing devices to intelligently select transmission parameters that avoid collisions and maximize network efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If devices use contention-based access to share wireless communication medium, then multiple devices can communicate over the same medium, but collisions and interference occur leading to reduced throughput and increased delays

Engineering Contradiction:

Improvemedium sharing capabilityVSAvoidnetwork throughput

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system dynamically adapts transmission parameters (bandwidth, power, modulation scheme) based on real-time medium state information and historical data. This allows the system to optimize throughput by adjusting parameters according to current network conditions, resolving the contradiction between medium sharing and maintaining high productivity

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms by monitoring medium state information, collision patterns, and transmission outcomes. This feedback is used to continuously refine parameter selection, enabling the system to learn from past collisions and improve future transmission decisions, thereby maintaining high throughput while sharing the medium

Inventive Principle:

Principle #23Feedback

2Ease of operation

If devices transmit packets using default parameters, then transmission is simple and fast, but collisions increase in crowded network environments reducing overall efficiency

Engineering Contradiction:

Improvetransmission simplicityVSAvoidcollision avoidance

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system performs preliminary actions by pre-calculating candidate parameter sets based on historical medium state information before actual transmission occurs. This preparation allows the device to quickly select optimal parameters without complex real-time calculations, maintaining ease of operation while improving collision avoidance through informed parameter selection

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system changes transmission parameters (bandwidth, power, modulation) based on analyzed medium state patterns. By adapting parameters to current conditions rather than using fixed default values, the system improves reliability and collision avoidance while keeping the operational complexity manageable through automated parameter selection

Inventive Principle:

Principle #35Parameter changes

3Reliability

If devices wait for medium availability before transmitting, then collisions are reduced, but transmission delays increase in crowded networks

Engineering Contradiction:

Improvecollision reductionVSAvoidtransmission delay

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system dynamically determines waiting duration based on medium state analysis rather than using fixed backoff times. By adapting the waiting period to current network conditions and predicted medium availability, the system reduces unnecessary delays while maintaining collision reduction, resolving the contradiction between reliability and time loss

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS11153885B2Medium-based transmission parameter adaptation

Publication Date: 2021.10.19 MAXLINEAR INC

AI summary

An example method may include obtaining default transmitting parameters and potential variations of the default transmitting parameters for a packet to be transmitted over a wireless network. The method may also include obtaining medium state information for a medium of the wireless network. The method may additionally include generating a first candidate of transmitting parameters and a second candidate of transmitting parameters based on the medium state information, where each of the first and second candidates of transmitting parameters are consistent with at least one of the default transmitting parameters and the potential variations of the default transmitting parameters. The method may also include selecting from among the first and the second candidates of transmitting parameters to use when transmitting the packet over the wireless network.