Adaptive System Information Transmission for Wireless Power Reduction
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing system information transmission, leading to increased power usage and resource consumption at network devices and user equipment.
Innovation Solution
The implementation of adaptive communication techniques that allow network nodes to adjust beam sweeping of signals like System Information Block 1 (SIB1) and paging messages based on estimated UE locations, enabling UEs to adapt their reception and radio resource management measurements accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If system information is transmitted with fixed periodicity, then reliable communication is maintained, but power usage and resource consumption increase
Solution Approach 1:
The patent applies dynamics by transitioning from fixed periodicity to adaptive transmission scheduling. The network node dynamically adjusts system information transmission based on UE location predictions and beam sweeping patterns, allowing the system to optimize between reliability and energy consumption in real-time based on actual network conditions and UE distribution.
Solution Approach 2:
The patent changes the transmission periodicity parameter from a static value to a dynamic parameter that varies based on UE location, beam direction, and network conditions. This allows the system to extend periodicity when UEs are predictably located and reduce it when needed, directly addressing the energy-reliability tradeoff.
2Area of stationary object
If beam sweeping is performed for all SSBs, then comprehensive coverage is achieved, but transmission resources and time are consumed
Solution Approach 1:
The patent applies local quality by differentiating beam sweeping based on UE location predictions. Instead of uniformly sweeping all directions, the system concentrates beam sweeping resources on specific directions where UEs are predicted to be located, thereby reducing overall transmission time while maintaining adequate coverage in those specific areas.
Solution Approach 2:
The patent segments the beam sweeping process into location-specific portions. By dividing the coverage area into regions based on predicted UE locations and applying different sweeping strategies to each region, the system efficiently allocates transmission time and resources to where they are most needed.
3Loss of energy
If transmission periodicity is reduced, then power usage decreases, but measurement accuracy for RRM and RLM may be compromised
Solution Approach 1:
The patent incorporates feedback mechanisms where UEs report their actual locations and measurement results, and the network adjusts transmission periodicity and beam sweeping patterns accordingly. This feedback loop ensures that measurement accuracy is maintained by adapting the transmission schedule to actual network conditions and UE behavior, preventing energy savings from compromising measurement quality.
Data Source
AI summary
Various aspects of the present disclosure relate to a UE that receives an indication of one or more system information transmission repetition periodicity values corresponding to a respective subset of synchronization signal blocks (SSBs) within a burst of SSBs. The UE selects at least one SSB from the burst of SSBs, and receives a system information message via one or more physical downlink control channel (PDCCH) monitoring occasions in a search space set for the system information message. The one or more PDCCH monitoring occasions, for instance, are determined based on a system information transmission repetition periodicity value of the one or more system information transmission repetition periodicity values, and the system information transmission repetition periodicity value corresponds to the selected SSB. The UE can implement wireless communication using system information determined from the received system information message.


