Base Station Power State Transition for Uplink Traffic Handling
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Solution Overview
Problem
Current wireless communication systems face challenges in optimizing wake-up procedures and power saving operations in multicarrier communication systems, particularly in managing radio resources and beam management across multiple cells, which affects efficiency and battery life.
Innovation Solution
The implementation of advanced radio access network (RAN) architectures and protocols that enable dynamic bandwidth adaptation, multi-beam operations, and efficient power management through the use of next-generation Node B (gNB) and evolved Node B (ng-eNB) nodes, along with advanced modulation schemes like OFDM and CDMA, to optimize wake-up procedures and power saving strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the base station transitions to a dormant state to save power, then energy consumption is reduced, but uplink traffic handling capability is lost
Solution Approach 1:
The base station implements dynamic state transitions between active and dormant modes based on real-time traffic conditions. When uplink traffic is detected during dormant period, the base station transitions back to active state to handle the traffic, and returns to dormant state when traffic subsides. This dynamic adaptation resolves the contradiction by making power consumption and service capability state-dependent rather than fixed.
Solution Approach 2:
The system employs periodic monitoring of uplink traffic conditions to determine state transitions. The base station periodically checks for uplink traffic arrivals and adjusts its operational state accordingly, creating a rhythm of active and dormant periods that balances power saving with service availability.
2Reliability
If the base station remains in active state to handle uplink traffic, then service availability is maintained, but power consumption increases
Solution Approach 1:
The base station dynamically adjusts its operational state based on traffic demands rather than maintaining a fixed active state. This allows the system to maintain service availability only when necessary (when uplink traffic is present) while consuming minimal power during idle periods, resolving the trade-off between reliability and energy consumption.
Solution Approach 2:
The base station autonomously monitors its own traffic conditions and makes independent decisions about state transitions without requiring external control. When uplink traffic arrives, the base station self-activates to handle it, and when traffic ends, it self-dormants to save power, making the system both energy-efficient and reliably responsive to actual service needs.
3Use of energy by moving object
If the base station uses dormant mode for power saving, then energy efficiency is improved, but response time to uplink traffic increases
Solution Approach 1:
The base station maintains a dormant state with minimal operational capabilities that allow it to quickly detect and respond to uplink traffic arrivals. By being pre-configured with fast wake-up mechanisms and monitoring capabilities even in dormant state, the system minimizes the time penalty associated with state transitions while preserving energy efficiency during extended idle periods.
Data Source
AI summary
A wireless device transmits a random access preamble via a first cell. In response to transmitting the random access preamble, the wireless device transitions a second cell from a first power state to a second power state. The wireless device monitors, in the second power state and via the second cell, for downlink control information (DCI) scheduling a random access response (RAR) corresponding to the random access preamble.