Grant-Free Resource Allocation in 5G Networks
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Solution Overview
Problem
Existing grant-free (GF) resource allocation methods in 5G mobile communications face inefficiencies, leading to either waste of resources when few devices are active or insufficient allocation during high demand, as resources are pre-allocated and not dynamically adjusted based on real-time requirements.
Innovation Solution
An intelligent management function (IMF) dynamically adjusts GF resources by obtaining feature information from services, determining resource requirements, and sending this information to base stations or management units, allowing for proper and dynamic allocation of resources to meet current demands without waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If GF resources are pre-allocated to a cell or network slice in advance, then the resource allocation is simple and deterministic, but the resources cannot be dynamically adjusted to match real-time service demands, leading to either waste when few UEs are active or insufficient allocation during high demand
Solution Approach 1:
The patent implements dynamic GF resource allocation by enabling the IMF to continuously monitor service feature information (such as data volume, packet size, arrival interval) and automatically adjust the GF resource allocation configuration in real-time based on actual service demands, transforming the static pre-allocation mechanism into a dynamic adaptive system
Solution Approach 2:
The patent establishes a feedback mechanism where the IMF collects service feature information from the network, analyzes the data characteristics, and uses this feedback to dynamically adjust GF resource allocation parameters, creating a closed-loop control system that adapts to changing service conditions
2Productivity
If manual pre-allocation of GF resources is performed, then the allocation process is straightforward and easy to implement, but it cannot properly allocate resources when the quantity of UEs or data uploading requirements varies significantly
Solution Approach 1:
The patent enables the system to self-adjust GF resource allocation through the IMF, which automatically monitors service features, determines resource requirements, and configures allocation parameters without manual intervention, allowing the system to serve itself in optimizing resource distribution
Solution Approach 2:
The patent dynamically changes GF resource allocation parameters (such as time slot allocation, frequency resource allocation, power allocation) based on service feature information analysis, adjusting these parameters in real-time to match actual service demands and improve resource utilization efficiency
Data Source
AI summary
This application provides an example grant-free (GF) resource allocation method and an example related device. The method includes obtaining, by an intelligent management function unit (IMF), feature information of a service. The method also includes determining, by the IMF, GF resource information corresponding to the feature information or GF resource indication information corresponding to the feature information, and sending, by the IMF, the GF resource information or the GF resource indication information to a base station or a management unit of a base station. The GF resource information is used to describe GF resources corresponding to a cell or GF resources corresponding to a network slice, the cell corresponds to the base station, and the network slice corresponds to the base station. The GF resource indication information is used to indicate the base station to determine the GF resource information or the management unit to determine the GF resource information.