Wireless Link Adaptation for Highly Dynamic Channel Conditions

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Solution Overview

Problem

Wireless communication networks face challenges in efficiently sharing limited communication resources, leading to interference among devices, and existing link adaptation methods are inadequate in complex channel conditions, often requiring extensive data flow and constant two-way communication.

Innovation Solution

A wireless communication device that determines an optimal transmission mode by projecting channel characterization parameters into mathematical models of both nominal and degraded conditions, selecting a mode that maximizes communication objectives while balancing individual and network needs, without relying on intrinsic ordering of states or constant feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If link adaptation adjusts transmit parameters for each communication link to maximize resource usage, then individual communication performance is improved, but mutual interference increases and reliable communication may be eliminated

Engineering Contradiction:
Improvecommunication resource usageVSAvoidmutual interference
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent implements a feedback mechanism where receiving devices measure channel quality indicators (CQI) from incoming signals and feed this information back to transmitting devices. The transmitting devices use this feedback to adaptively adjust their transmit parameters (power, modulation, coding rate) to optimize resource usage while avoiding excessive interference. This closed-loop feedback system enables coordinated resource allocation without requiring complex centralized control.

Inventive Principle:
Principle #23Feedback

2Productivity

If extensive data flow is used to calculate global optimum transmit modes for all devices, then communication performance is improved, but the data flow itself has severe adverse impact on the wireless communication network

Engineering Contradiction:
Improvecommunication performanceVSAvoidnetwork overhead
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The patent employs local quality by having each transmitting device independently determine its optimal transmit mode based on local channel conditions and received CQI feedback, rather than calculating a global optimum for the entire network. Each device optimizes its own transmission parameters based on locally available information, eliminating the need for extensive data exchange while achieving near-optimal performance through distributed decision-making.

Inventive Principle:
Principle #3Local quality

3Adaptability or versatility

If constant two-way communication is implemented for link adaptation, then transmit parameter adjustment is improved, but the complexity and overhead of the system increases

Engineering Contradiction:
Improvetransmit parameter adjustmentVSAvoidcommunication overhead
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements periodic link adaptation where CQI measurements are taken and transmit parameters are adjusted at specific intervals or triggered by channel condition changes, rather than requiring constant continuous feedback. This periodic approach maintains adaptability while significantly reducing communication overhead and system complexity compared to continuous adjustment mechanisms.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS8781416B1Adapting transmit parameters in highly dynamic channel
Publication Date: 2014.07.15 ROCKWELL COLLINS INC
  • US8781416B1 patent drawing
  • US8781416B1 patent drawing

AI summary

A processor determines, from signals received from other communication devices, one selected transmission mode for the communication channel conditions. The processor projects multiple channel characterization parameters in a mathematical model to each of the candidate transmission modes using a model of nominal communication channel conditions to predict whether each of the candidate transmission modes will achieve the desired communication under the nominal communication channel conditions. This results in the generation of a first subset of transmission modes. The processor also projects the multiple channel characterization parameters to each of the candidate transmission modes using a model of degraded communication channel conditions to predict whether each of the candidate transmission modes will achieve the desired communication under the degraded communication channel conditions. Such a determination results in generating a second subset of transmission modes that would successfully achieve communication. One selected transmission mode that maximizes communication objectives is selected.