mMIMO Energy Saving Control Across Time, Frequency, and Space
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Solution Overview
Problem
The high power consumption and energy inefficiency of extreme massive MIMO systems in 6G wireless networks due to increased transceivers and antenna elements, which are not adequately addressed by existing technologies, pose a challenge for meeting the higher throughput and coverage requirements.
Innovation Solution
Implementing energy saving logic in a controller that utilizes AI/ML models to optimize energy consumption in time, frequency, and space domains, including sleep modes, hibernation modes, and dynamic resource allocation, leveraging O-RAN architecture and RICs for efficient power management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of transceivers and antenna elements is increased to meet higher throughput and coverage requirements, then network capacity and spectral efficiency are improved, but power consumption increases significantly
Solution Approach 1:
The patent segments the massive MIMO system into multiple functional blocks (digital front end, RFICs, amplifiers, antenna elements) that can be independently controlled and powered. This segmentation enables selective activation of only necessary components based on traffic demand, thereby reducing overall power consumption while maintaining network capacity.
Solution Approach 2:
The patent implements dynamic power management where the system continuously monitors traffic load and dynamically adjusts the power state of different functional blocks. During low traffic periods, non-essential blocks are powered down; during high traffic periods, additional blocks are activated. This dynamic adaptation resolves the contradiction between maintaining high network capacity and reducing power consumption.
2Productivity
If more transceivers and antenna elements are deployed to enhance network capacity, then spectral efficiency increases, but energy efficiency deteriorates
Solution Approach 1:
The patent implements periodic monitoring of traffic patterns and periodic adjustment of power states for different functional blocks. This periodic action allows the system to efficiently activate or deactivate components based on recurring traffic patterns, maintaining high spectral efficiency during peak periods while minimizing energy consumption during low-activity periods.
Solution Approach 2:
The patent changes the operational parameters (power states) of different functional blocks based on real-time traffic conditions. By dynamically adjusting parameters such as activation status and power levels of digital front ends, RFICs, and amplifiers, the system optimizes the ratio of spectral efficiency to energy consumption.
3Speed
If the system operates in high-performance mode to meet throughput requirements, then data rate is improved, but power consumption increases
Solution Approach 1:
The patent applies partial action by activating only the necessary number of functional blocks required to meet current traffic demands, rather than keeping all blocks operational at full capacity. During low-traffic periods, only essential blocks remain active, reducing power consumption while maintaining sufficient data rates. During high-traffic periods, additional blocks are activated to provide the excess capacity needed for high data rates.
Data Source
AI summary
Technologies for providing energy efficiency technology in extreme mMIMO systems in a cellular network cellular network (e.g., 5G wireless network, 6G wireless network) are described. The method collects data representing conditions for potential energy saving (ES) modes, comprising morphology data and traffic pattern data. The method determines, using the collected data, one or more energy saving (ES) modes for one or more components of a cellular network in at least one of a time (T) domain, a frequency (F) domain, or a space (S) domain, wherein the one or more ES modes cause at least one adjustment to the one or more components in the at least one of the time (T) domain, the frequency (F) domain, or the space (S) domain.