Cognitive Radio RAT Selection via Capacity Estimation

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Solution Overview

Problem

Conventional Radio Access Technology (RAT) selection methods for Cognitive Radio (CR) communication apparatuses do not adequately consider available network capacity, leading to insufficient resource allocation and degraded performance, as they primarily rely on wireless signal strength rather than available resources.

Innovation Solution

A CR communication apparatus with a determination unit to select a temporary control RAT, an estimation unit to assess available resources and channel states, and a selection unit to calculate and prioritize RATs based on available capacity, ensuring optimal RAT selection for efficient resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If RAT selection is based on maximum transmission power, then device complexity is reduced, but available capacity and resource allocation are insufficient

Engineering Contradiction:
ImproveRAT selection complexityVSAvoidavailable capacity
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The RAT selection process is divided into multiple independent modules: a determination unit that identifies candidate RATs based on simple signal strength, an estimation unit that evaluates available capacity for each candidate, and a selection unit that chooses the optimal RAT. This segmentation allows each module to perform a specific function, reducing overall system complexity while ensuring reliable capacity assessment.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The determination unit performs preliminary action by pre-identifying candidate RATs using simple maximum transmission power criteria before the more complex capacity estimation is performed. This preliminary filtering reduces the number of RATs that need detailed analysis, balancing complexity and reliability.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If RAT selection is based on available capacity, then resource allocation is improved, but device complexity increases

Engineering Contradiction:
Improveresource allocation efficiencyVSAvoidRAT selection mechanism
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments the RAT selection mechanism into distinct functional units: determination unit for candidate identification, estimation unit for capacity evaluation, and selection unit for final decision. This modular approach improves resource allocation efficiency while managing device complexity through functional decomposition.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The estimation unit acts as an intermediary between the simple determination unit and the selection unit. It bridges the gap by providing detailed capacity information without requiring the determination unit to perform complex analysis, thus improving productivity while containing complexity growth.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If all RATs are kept active for monitoring, then available capacity information is complete, but power consumption increases

Engineering Contradiction:
Improvecapacity information accuracyVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system segments RAT monitoring into two phases: an initial comprehensive monitoring phase where all RATs are evaluated for capacity information, and a subsequent selective monitoring phase where only the selected optimal RAT is actively monitored. This segmentation ensures complete information gathering when needed while reducing power consumption during normal operation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

After RAT selection is complete, the system discards monitoring of non-selected RATs to reduce power consumption, while retaining the ability to recover and re-evaluate other RATs when network conditions change or reselection is triggered, thus balancing measurement precision with energy efficiency.

Inventive Principle:
Principle #34Discarding and recovering

Data Source

PatentUS8427973B2Cognitive radio communication apparatus and radio access technology selection method of cognitive radio communication apparatus
Publication Date: 2013.04.23 SAMSUNG ELECTRONICS CO LTD
  • US8427973B2 patent drawing
  • US8427973B2 patent drawing
  • US8427973B2 patent drawing

AI summary

A Cognitive Radio (CR) communication apparatus is provided. The CR communication apparatus may include a determination unit to determine any one of a plurality of Radio Access Technologies (RATs) as a temporary control RAT, an estimation unit to estimate an available resource and a channel state of each common RAT using the temporary control RAT, and a selection unit to calculate an available capacity of each of the common RATs using the available resource and the channel state, and to select an optimum RAT from the common RATs based on the available capacity of each of the common RATs. The common RATs may be used by the CR communication apparatus and a receiving CR communication apparatus from among the plurality of RATs.