Radio Unit Power Management via Dynamic Traffic Monitoring
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Solution Overview
Problem
Current 5G wireless communication networks face challenges in optimizing power consumption at radio units, particularly in managing high power consumption due to high traffic demands and the need for linear power amplifiers, which leads to inefficiencies during low traffic periods or low user density.
Innovation Solution
A method and system that monitor downlink traffic to determine low traffic states and apply power consumption policies, such as reducing active antenna ports or downlink slots, to transition radio units into low power states based on pre-defined thresholds and historical data patterns, optimizing power usage without performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the power amplifier operates in saturation region for high power efficiency, then power consumption is reduced, but non-linearity increases causing distortion in OFDM signals
Solution Approach 1:
The system dynamically adjusts the operating state of the power amplifier based on real-time traffic conditions. During high traffic periods, the PA operates in saturation region for maximum efficiency. During low traffic periods, the system transitions to partial activation or sleep modes, dynamically changing the operational characteristics to balance efficiency and linearity requirements.
Solution Approach 2:
The invention changes the operational parameters of the power amplifier by adjusting the number of active antenna ports and downlink slots based on traffic demand. This parameter adjustment allows the system to optimize the trade-off between power efficiency and signal linearity by operating different subsets of PAs at different times.
2Productivity
If the number of transceiver chains is increased for MIMO and beamforming, then system capacity increases, but power consumption increases
Solution Approach 1:
The system segments the transceiver chains into multiple independent power amplifier groups, each capable of being activated or deactivated independently. This segmentation allows the system to activate only the necessary number of chains based on current traffic demand, thereby maintaining high system capacity when needed while reducing power consumption during low traffic periods.
Solution Approach 2:
The system dynamically adjusts the number of active transceiver chains based on real-time traffic conditions and network utilization. During peak hours, all chains operate at full capacity to maximize system throughput. During off-peak hours, the system reduces the number of active chains, dynamically adapting the system capacity to match actual demand and reduce unnecessary power consumption.
3Reliability
If the power amplifier is kept active to meet high traffic demand, then network performance is maintained, but power consumption increases during low traffic periods
Solution Approach 1:
The system implements feedback mechanisms to continuously monitor traffic conditions, network utilization, and performance metrics. Based on this feedback, the system intelligently decides when to activate or deactivate power amplifiers and antenna ports, ensuring that network performance requirements are met while minimizing power consumption during low traffic periods.
Solution Approach 2:
The system performs preliminary assessment of traffic patterns and network conditions to predict when power amplifiers will be needed. By anticipating traffic demands and pre-configuring the appropriate number of active PAs and antenna ports, the system avoids performance degradation while preventing unnecessary power consumption during extended low-traffic periods.
Data Source
AI summary
Systems and methods for efficient power management in a wireless communication network are described. In particular, the system (for example, implemented at a radio unit) may monitor a downlink traffic at the radio unit in the wireless communication network. Further, the system may determine a low traffic state of the radio unit based on a pre-defined threshold of the monitored downlink traffic for a pre-configured time period. Furthermore, the system may configure the radio unit to enter a low power state based on the determined low traffic state. As such, the system may select a power consumption policy and apply the selected power consumption policy at the radio unit for efficient power management in the wireless communication network. Therefore, the radio unit may intelligently take decisions related to power consumption.