Dynamic Resource Hopping Patterns for 5G Collision Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing resource hopping patterns in 5G wireless communication systems face issues such as increased probability of collisions due to emerging communication demands like IoT and mMTC, as they are not sufficiently flexible to manage diverse application requirements effectively.
Innovation Solution
The proposed solution involves generating updated resource hopping patterns by elongating, shortening, or rearranging pre-defined patterns based on Latin squares, allowing for more flexible allocation of resource units across time and frequency domains, thereby reducing collisions and improving system efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing resource hopping patterns are used in 5G systems, then system simplicity is maintained, but collision probability increases due to emerging communication demands
Solution Approach 1:
The patent makes the resource hopping pattern dynamic by allowing the base station to generate and notify updated hopping patterns to UEs based on current system conditions and application requirements, rather than using fixed pre-defined patterns. This enables the system to adapt to emerging communication demands like IoT and mMTC while maintaining low collision probability.
Solution Approach 2:
The patent changes the parameters of resource hopping patterns by allowing the base station to generate updated patterns with modified time and frequency resources based on current system state. This enables flexible adaptation to diverse application requirements while optimizing resource allocation to reduce collisions.
2Productivity
If resource units are divided across time and frequency domains, then system resource management is improved, but allocation flexibility for diverse applications is reduced
Solution Approach 1:
The patent implements dynamic resource allocation by enabling the base station to generate updated resource hopping patterns that adjust time and frequency resource assignments based on current system conditions and application requirements, thereby maintaining both efficient resource management and high allocation flexibility.
Solution Approach 2:
The patent segments resource units across time and frequency domains while maintaining flexibility by allowing dynamic reconfiguration of these segments through updated hopping patterns, enabling efficient resource management alongside adaptive allocation for diverse applications.
3Device complexity
If pre-defined hopping patterns are assigned to UEs, then system complexity is reduced, but collision probability increases under emerging communication demands
Solution Approach 1:
The patent resolves this contradiction by implementing a dynamic hopping pattern system where the base station generates and notifies updated patterns to UEs based on current conditions, maintaining low system complexity through centralized control while significantly reducing collision probability through adaptive resource allocation.
Solution Approach 2:
The patent incorporates feedback mechanisms where the base station monitors system conditions and communication demands, then generates updated hopping patterns accordingly, enabling the system to maintain low complexity while adapting to reduce collisions under emerging communication demands.
Data Source
AI summary
A system and method for allocating network resources are disclosed herein. In one embodiment, the system and method are configured to perform: transmitting a resource allocation signal to a communication node, the resource allocation signal indicating an updated resource hopping rule for the communication node to transmit a signal, wherein the updated resource hopping rule is derived based on an initial resource hopping rule by adjusting a time period defined by the initial resource hopping rule or rearranging at least two resource columns defined by the initial resource hopping rule.