Wireless Power Management via Redundant Transmission Control
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Solution Overview
Problem
Mobile communication devices with limited battery capacity face energy depletion during peak wireless communication periods, leading to potential battery starvation and reduced performance.
Innovation Solution
A method for managing power consumption in wireless networks by determining the number of redundant transmissions that can be received within a predetermined time frame, adjusting reception to limit battery discharge, and using a sliding window to trade off energy consumption with quality of reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device receives all redundant transmissions to maintain high packet delivery, then reliability is improved, but energy consumption increases and battery life decreases
Solution Approach 1:
The device selectively receives only a subset of redundant transmissions rather than all transmissions. The packet processor determines which redundant packets to receive based on current packet error rates and battery status, performing partial reception action to balance reliability needs with energy conservation.
Solution Approach 2:
The system dynamically adjusts its reception behavior based on real-time conditions. The packet processor monitors packet error rates and battery charge levels, then adapts the number of redundant packets to receive accordingly, making the system flexible and responsive to changing operational conditions.
2Reliability
If the device receives more redundant transmissions to compensate for packet errors, then reliability is improved, but battery discharge increases
Solution Approach 1:
The system implements feedback mechanisms where the packet processor continuously monitors packet error rates and battery discharge levels. Based on this feedback, the device adjusts its reception strategy for redundant packets, reducing redundant receptions when battery discharge is high while maintaining reliability when battery status permits.
Solution Approach 2:
The device changes operational parameters dynamically - specifically adjusting the number of redundant packets to receive based on measured packet error rates and battery status. This parameter adaptation allows the system to optimize the trade-off between communication reliability and energy loss in real-time.
3Use of energy by moving object
If the device limits redundant transmissions to conserve energy, then energy consumption is reduced, but packet delivery reliability deteriorates
Solution Approach 1:
The device performs partial reception of redundant transmissions - receiving enough redundant packets to maintain acceptable reliability while avoiding excessive energy consumption. The packet processor determines the optimal subset of redundant packets to receive based on current communication conditions and battery status.
Solution Approach 2:
The system dynamically adapts its redundant packet reception strategy based on real-time monitoring of packet error rates and battery status. When communication conditions are good or battery status is high, the device can afford to receive more redundant packets; when conditions deteriorate, it reduces redundant receptions to conserve energy.
Data Source
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AI summary
Disclosed herein, among other things, are systems and methods for managing power consumption in a wireless network. One aspect of the present subject matter includes a method for wireless communications of isochronous data. A transmission of isochronous data is received using an electronic device having a battery. The method determines how many redundant transmissions can be received by the device within a predetermined time frame while limiting discharge of the battery, and adjusts reception of the redundant transmissions based on the determination. In various embodiments, a reduction in received redundant transmissions preserves energy and prevents complete discharge of the battery.