Adaptive MIMO SIMO Mode Selection for Energy Optimization

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Solution Overview

Problem

Current MIMO and SIMO communication systems face challenges in optimizing energy consumption during data transmission, as they often require balancing between transmission rate and power efficiency, leading to inefficiencies in mode selection and increased idle power usage.

Innovation Solution

The method involves calculating energy-optimized transmission rates for both MIMO and SIMO modes, considering power consumption during transmission and idle times, and adaptively selecting the mode that provides the lowest energy per bit, using equations to determine the optimal rate and mode based on channel conditions and circuitry power consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If MIMO mode is used to increase data transmission rate, then throughput is improved, but energy consumption increases

Engineering Contradiction:
Improvedata transmission rateVSAvoidenergy consumption
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The system dynamically switches between MIMO and SIMO modes based on real-time channel conditions and energy constraints. The base station calculates energy-optimized transmission rates for both modes and selects the mode that provides the lowest energy per bit, making the system adaptable to varying operational requirements rather than fixed in one mode

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters by adjusting transmission modes (MIMO/SIMO) and transmission rates based on channel conditions. The base station calculates different transmission rates for each mode and selects parameters that optimize the energy per bit ratio, allowing flexible adaptation to different communication scenarios

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If transmission mode is fixed, then system complexity is reduced, but energy efficiency deteriorates

Engineering Contradiction:
Improvemode selection complexityVSAvoidenergy per bit
Core Design Contradiction:
Device complexityVSUse of energy by moving object

Solution Approach 1:

The base station receives feedback about channel conditions from the mobile station and uses this information to calculate optimal transmission rates for both MIMO and SIMO modes. This feedback mechanism enables the system to adapt to changing conditions and select the most energy-efficient mode without requiring complex manual intervention

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system automatically performs mode selection and rate calculation based on pre-configured algorithms and channel conditions. The base station independently calculates energy-optimized rates and selects the best mode without requiring external control, making the system self-adaptive to varying operational requirements

Inventive Principle:
Principle #25Self-service

3Use of energy by moving object

If adaptive mode selection is implemented, then energy efficiency is improved, but calculation complexity increases

Engineering Contradiction:
Improveenergy per bitVSAvoidcalculation complexity
Core Design Contradiction:
Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The base station pre-calculates transmission rates for both MIMO and SIMO modes based on channel conditions before actual transmission occurs. This preliminary calculation allows the system to prepare multiple rate options in advance and quickly select the optimal mode without complex real-time computations during data transmission

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system calculates transmission rates for both MIMO and SIMO modes even though only one mode will be used, providing a comprehensive evaluation of all available options. This excessive calculation approach ensures that the optimal mode is selected by comparing all possibilities rather than relying on approximations or limited calculations

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS8798120B2Methods and communication systems having adaptive mode selection
Publication Date: 2014.08.05 BOARD OF RGT THE UNIV OF TEXAS SYST
  • US8798120B2 patent drawing
  • US8798120B2 patent drawing
  • US8798120B2 patent drawing

AI summary

Examples are generally described that include methods for selecting a transmit mode in a communications system. An example method may include calculating a first transmission rate for data in a multiple-input multiple-output mode of the communications system and calculating a second transmission rate for the data in a single-input multiple-output mode of the communications system. A mode may be selected from the group consisting of the multiple-input multiple-output mode and the single-input multiple-output mode based, at least in part, on an energy consumption of the first and second transmission rates. Data may be transmitted from a transceiver in the communications system using the selected mode.