Wireless Device Power Management via Network Load Adaptation
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Solution Overview
Problem
Wireless communication devices consume significant power resources, requiring users to manually turn them off or avoid usage to conserve power, which is inefficient and inconvenient.
Innovation Solution
Implementing a power management algorithm that utilizes network-supplied information, such as Quality-of-Service (QoS) and network load data, to dynamically adjust the device's power consumption modes, allowing it to enter sleep mode when the network is heavily loaded and switch to a neighboring access point with lighter loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the wireless communication device continuously monitors and accesses the network to maintain connectivity, then network connectivity is maintained, but power consumption increases
Solution Approach 1:
The device dynamically adjusts its power consumption mode based on real-time network load conditions. When network load is high, the device enters sleep mode to conserve power; when network load is low, the device becomes active to maintain connectivity. This dynamic adaptation resolves the contradiction by making the system flexible rather than static.
Solution Approach 2:
The device changes its operational parameters (active vs. sleep mode) based on network conditions. By monitoring network load and adjusting its state accordingly, the device can maintain acceptable connectivity while significantly reducing power consumption during high-load periods when network performance is already degraded.
2Use of energy by moving object
If the device enters sleep mode to save power, then power consumption is reduced, but network response time increases due to channel access delays
Solution Approach 1:
The device performs preliminary monitoring of network load conditions before entering sleep mode. By anticipating high-load periods and switching to sleep mode proactively, the device avoids the worst channel access delays while still achieving significant power savings. The preliminary detection of network conditions allows timely state transitions.
Solution Approach 2:
The device continuously monitors network load and uses this feedback to adjust its operational state. This closed-loop control ensures that the device enters sleep mode when network conditions favor it (high load) and wakes up when conditions improve, thereby minimizing the impact of channel access delays while maximizing power savings.
3Reliability
If the device performs active scanning to find neighboring access points, then network mobility and connectivity are improved, but power consumption increases
Solution Approach 1:
Instead of continuously scanning for neighboring access points, the device performs scanning periodically or event-driven (e.g., when current AP quality degrades). This periodic action maintains network mobility and connectivity while dramatically reducing the power consumption associated with constant scanning operations.
Solution Approach 2:
The device uses network-supplied information (such as QoS parameters and network load data) to make intelligent decisions about when to scan for alternative access points. By leveraging already-available network information, the device avoids unnecessary scanning while still maintaining connectivity, thus reducing power consumption without sacrificing reliability.
Data Source
AI summary
Device, system, and method of power saving in wireless network. For example, a method includes: receiving from a wireless access point a wireless communication signal indicting wireless network load information represented as a value of a parameter in a Basic Service Set load information element, wherein the parameter comprises a parameter selected from a group consisting of: a station count parameter, a channel utilization ratio parameter, an available admission control parameter, a network congestion parameter, a transmission power suggestion parameter, a reception power suggestion parameter, and a late adaptation suggestion parameter; and modifying a power consumption mode of a communication unit of a wireless communication device based on said parameter.