On-Demand System Information Acquisition for Wireless Networks
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Solution Overview
Problem
Current LTE Advanced communication standards transmit system information in a periodic and wideband manner, leading to inefficiencies in energy savings and spectral efficiency, particularly in scenarios with varying traffic loads, and do not support flexible bandwidth or duplex deployments.
Innovation Solution
The Low Overhead System Information Acquisition (LOSIA) method allows user equipment to trigger system information transmission on demand, enabling dynamic control of overhead, bandwidth, and periodicity, using techniques such as dedicated random access preamble sequences and load-dependent transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If system information is transmitted periodically and wideband in LTE Advanced, then backward compatibility is maintained, but energy consumption increases and spectral efficiency decreases
Solution Approach 1:
The patent implements dynamic system information transmission where the eNB adjusts transmission periodicity and bandwidth based on real-time UE requests and traffic conditions. Instead of fixed periodic wideband transmissions, the system dynamically activates transmission only when UEs request system information, adapting the transmission parameters to actual needs and reducing unnecessary energy consumption while maintaining backward compatibility through supported frequency ranges.
Solution Approach 2:
The patent changes key transmission parameters including periodicity, bandwidth, and frequency location of system information transmissions. By allowing these parameters to be dynamically adjusted based on UE requests and network conditions, the system transitions from static periodic wideband transmission to flexible on-demand transmission, significantly reducing energy consumption while maintaining compatibility.
2Reliability
If system information is transmitted periodically and wideband, then all UEs can acquire information reliably, but spectral efficiency deteriorates due to unnecessary transmissions
Solution Approach 1:
The patent implements a self-service mechanism where UEs autonomously determine when they need system information by monitoring their own state and generating requests only when necessary. This eliminates the need for continuous periodic transmissions to all UEs, as each UE independently triggers transmissions only when it requires system information updates, thereby improving spectral efficiency while maintaining reliable information acquisition.
Solution Approach 2:
The patent introduces feedback mechanisms where UEs send requests to the eNB indicating their need for system information. The eNB uses this feedback to determine whether to transmit system information and at what parameters. This feedback-driven approach ensures transmissions occur only when needed by actual UEs, improving spectral efficiency while maintaining reliability through on-demand delivery.
3Device complexity
If fixed periodicity and bandwidth are used for system information transmission, then implementation is simple, but flexibility for various deployment scenarios is limited
Solution Approach 1:
The patent implements dynamic control of transmission periodicity and bandwidth based on UE requests and network conditions. The eNB adjusts these parameters in real-time rather than using fixed values, enabling adaptation to different deployment scenarios including narrowband IoT, millimeter-wave communications, and conventional LTE, thereby achieving high deployment flexibility without excessive complexity through standardized procedures.
Solution Approach 2:
The patent creates a universal system information transmission mechanism that can serve multiple deployment scenarios and UE types through a single flexible framework. By allowing dynamic parameter adjustment while maintaining standardized procedures, the system can accommodate narrowband IoT devices, millimeter-wave communications, and conventional LTE UEs, achieving multi-functionality without requiring separate transmission schemes for each scenario.
Data Source
AI summary
A method for low overhead system information acquisition (LOSIA) is disclosed. The LOSIA method includes several techniques for transmitting common channels in a next generation Radio Access Technology (xRAT). Instead of transmitting system information in a periodic, static, cell-specific, wideband manner, the transmission is triggered by user equipment in an “on demand” manner. The LOSIA method allows the network to control the overhead, bandwidth, and periodicity, as well as other characteristics. The LOSIA method employs several different techniques to trigger the information upon which the network can act, for example, by transmitting different payloads depending on the received trigger.