Dynamic Antenna Port Adaptation for RF Chain Power Reduction
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Solution Overview
Problem
Wireless networks face high power consumption due to the constant operation of all RF chains in network nodes, leading to inefficiencies, especially when traffic demand is low, and existing methods for dynamic antenna port adaptation are cumbersome and energy-intensive.
Innovation Solution
Implementing methods for dynamic antenna port adaptation in wireless networks, where user equipment (UE) autonomously selects and reports CSI-RS resource mappings based on local measurements, reducing the need for frequent network reconfigurations and minimizing power consumption by turning off unnecessary RF chains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all RF chains operate continuously to serve large number of devices, then network capacity and service coverage are improved, but power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts the number of active RF chains based on real-time traffic demand and channel conditions. The network node can switch between different operational modes (full operation, partial operation, sleep mode) to match the actual service requirements, thereby improving energy efficiency while maintaining network capacity when needed.
Solution Approach 2:
The invention changes the operational parameters of the network node by adjusting the subset of active RF chains. By varying the number of active antenna ports and corresponding RF chains according to traffic load, the system optimizes the balance between power consumption and network capacity without requiring hardware modifications.
2Use of energy by moving object
If a subset of RF chains is activated to reduce power consumption, then energy efficiency is improved, but channel estimation accuracy deteriorates due to incomplete channel characterization
Solution Approach 1:
The network node performs preliminary channel estimation using a full set of antenna ports before activating a reduced subset of RF chains. This preliminary channel state information is then used to guide the selection of which RF chains to activate, ensuring that the subset provides sufficient channel characterization accuracy while reducing power consumption.
Solution Approach 2:
The system implements feedback mechanisms where the network node monitors channel estimation quality and communication performance. Based on this feedback, the node adjusts the subset of active RF chains to maintain adequate channel characterization accuracy while optimizing energy efficiency. The feedback loop ensures that channel estimation precision remains sufficient for reliable communication.
Data Source
AI summary
A system and a method are disclosed for network energy saving. In one embodiment the method includes: receiving, by a User Equipment (UE), a Channel State Information reference signal (CSI-RS) transmitted through a first plurality of antenna ports; generating, by the UE, a first channel property indicator for a first subset of the first plurality of antenna ports, based on the CSI-RS; and generating, by the UE, a second channel property indicator for a second subset of the first plurality of antenna ports, based on the CSI-RS, wherein the second subset is different from the first subset.