Grant-Free Uplink Resource Allocation Using UE Activation Probabilities
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current resource allocation methods for grant-free uplink transmissions in ultra-reliable low latency communication (URLLC) do not adequately account for the activation probabilities of user equipment (UEs), leading to inefficient resource usage and increased packet collision and latency.
Innovation Solution
A method for determining uplink resources based on activation probability values of UEs, where each UE is assigned a unique resource sequence, and the allocation is updated as activation probabilities change, using Hamming distance as a similarity measure and a brute-force search approach to optimize resource sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current resource allocation methods for grant-free uplink transmissions are used, then resource allocation is simple, but resource usage efficiency is poor and packet collision increases
Solution Approach 1:
The patent applies parameter changes by utilizing activation probability values as a key parameter to dynamically adjust resource allocation. By changing the allocation strategy from static to probability-based dynamic allocation, the system improves resource usage efficiency while managing complexity through mathematical modeling
Solution Approach 2:
The patent implements preliminary action by pre-calculating and storing optimal resource sequences in a lookup table before actual transmission occurs. The base station performs brute-force search and Hamming distance calculations in advance to determine the best resource allocations, eliminating the need for complex real-time computations during urgent URLLC transmissions
2Reliability
If activation probability-based resource allocation is implemented, then packet error probability and latency are reduced, but computational complexity increases
Solution Approach 1:
The patent resolves the computational complexity issue by performing all heavy computations (brute-force search, Hamming distance calculations) in advance and storing results in a lookup table. During actual URLLC operations, the base station simply queries the pre-computed table based on activation probabilities, reducing real-time computational burden while maintaining high reliability
Solution Approach 2:
The patent uses copying by creating pre-computed resource sequence allocations and storing them as reference data in a lookup table. Instead of recalculating optimal sequences during transmission, the system copies and applies pre-determined sequences that match the current activation probability conditions, ensuring reliability without real-time computational overhead
3Productivity
If fixed resource allocation is used, then resource allocation is straightforward, but resource waste increases when UE activation probability is low
Solution Approach 1:
The patent dynamically adjusts resource allocation parameters based on activation probability values. When UE activation probability is low, the system allocates fewer or shared resources; when activation probability is high, more dedicated resources are assigned. This parameter-based dynamic allocation improves overall resource efficiency and reduces waste compared to fixed allocation schemes
Solution Approach 2:
The patent implements dynamic resource allocation where the allocation strategy adapts to changing UE activation probabilities. The system transitions from static fixed allocation to dynamic probability-based allocation, allowing resource quantities and assignments to flexibly adjust according to actual traffic conditions and activation patterns
4Loss of time
If grant-free uplink transmission is used, then latency is reduced, but packet collision probability increases
Solution Approach 1:
The patent applies local quality by assigning different resource sequences to different UEs based on their individual activation probability characteristics. High-activation UEs receive resource sequences that are locally optimized for their traffic patterns, while low-activation UEs receive different allocations. This differentiated local optimization reduces collisions while maintaining the low-latency grant-free transmission advantage
Solution Approach 2:
The patent reduces packet collision probability by changing the resource allocation parameter from fixed assignments to probability-based dynamic assignments. By adjusting resource sequences according to activation probabilities, the system optimizes the likelihood of successful transmissions while maintaining the fast access characteristics of grant-free transmission
Data Source
Figure 1
Figure 2
Figure 3
AI summary
There is provided an apparatus, said apparatus comprising means for determining for at least one of a plurality of user equipments, based on an activation probability value of some or all of the plurality of user equipments, uplink resources for use by the at least one user equipment; and providing an indication of the determined uplink resources to the at least one user equipment.