Frequency Resource Selection for NB-IoT Scheduling
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Solution Overview
Problem
Current Narrowband Internet of Things (NB-IoT) scheduling technologies do not adequately account for frequency-selective radio channels, particularly for static client devices experiencing poor radio conditions, leading to inefficient resource allocation and reduced performance.
Innovation Solution
A system and method where a base station receives feedback and measures channel qualities from static client devices to select optimal downlink and uplink frequency resources, scheduling transmissions on the best available resources to improve radio conditions, thereby enhancing data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual configuration of frequency resources is used for NB-IoT carriers, then device complexity is reduced, but resource allocation efficiency deteriorates due to insufficient consideration of frequency-selective radio channels
Solution Approach 1:
The invention implements feedback mechanisms where user equipment measures channel quality on candidate frequency resources and reports back to the base station. The base station uses this feedback information to dynamically select and allocate frequency resources, transforming manual static configuration into automated dynamic allocation based on real-time channel conditions.
Solution Approach 2:
The invention transitions from static manual configuration to dynamic automated allocation. The base station continuously adapts frequency resource allocation based on measured channel qualities and feedback from user equipment, allowing the system to respond to changing radio conditions while maintaining manageable complexity through algorithmic automation.
2Productivity
If channel aware time-frequency scheduling is implemented, then data transmission efficiency is improved, but device complexity increases due to the need for measurements and feedback mechanisms
Solution Approach 1:
The invention applies partial action by having user equipment measure and provide feedback only on a selected subset of candidate frequency resources rather than all available resources. The base station performs measurements on this subset and uses the resulting feedback information to make informed allocation decisions, reducing the overall measurement and feedback burden while maintaining scheduling efficiency.
3Ease of operation
If frequency resources are allocated without considering frequency-selective channels, then system simplicity is maintained, but performance deteriorates for static devices experiencing poor radio conditions
Solution Approach 1:
The invention performs preliminary measurements and evaluations of candidate frequency resources before final allocation decisions are made. The base station proactively identifies suitable frequency resources by measuring channel qualities in advance and uses this pre-evaluated information to make reliable allocation decisions, ensuring that devices receive resources appropriate to their channel conditions.
Data Source
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AI summary
A method of scheduling transmissions to client devices comprises receiving feedback (f1a-f3d) about a plurality of candidate downlink frequency resources (91-94) from a plurality of client devices and/or measuring channel qualities of a plurality of candidate uplink frequency resources (95-98) from receptions of transmissions, e.g. of the feedback, by the plurality of client devices. The method further comprises selecting a subset (92) of the plurality of candidate downlink frequency resources and/or a subset (96) of the plurality of the candidate uplink frequency resources based on the received feedback and/or the measured channel qualities. The method further comprises scheduling transmissions (dd1-3) to the client devices on the selected subset of candidate downlink frequency resources and/or transmissions (ud1-3) from the client devices on the selected subset of uplink frequency resources.