Dynamic PDCCH Resource Allocation for 5G Traffic and Mobility
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Solution Overview
Problem
Existing 5G wireless communication systems lack an effective mechanism for optimizing Physical Downlink Control Channel (PDCCH) resource allocation, failing to consider user mobility, channel conditions, and traffic data, leading to inefficient radio resource usage and potential under/over utilization of Control Channel Elements (CCEs).
Innovation Solution
A system and method that includes an Improved PDCCH Resource Calculation (IPRC) unit, which considers system-level parameters such as connected users, channel conditions, and user traffic data to dynamically allocate PDCCH resources, ensuring efficient resource utilization without compromising user data rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of CCEs is increased to support more users and services, then the coverage and reliability of control channel transmission is improved, but the radio resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic CCE allocation by introducing a decision tree structure that adapts the number of CCEs based on real-time system conditions. The system dynamically adjusts between different allocation patterns (first and second patterns) depending on factors like number of active users, channel conditions, and traffic load, thereby optimizing the balance between reliability and resource efficiency.
Solution Approach 2:
The patent changes the parameter of CCE allocation by introducing multiple aggregation levels (AL1, AL2, AL4, AL8) with different numbers of candidates. The system modifies the allocation parameters based on system state, switching between allocation patterns that use different numbers and distributions of CCEs to match actual network demands.
2Adaptability or versatility
If the number of candidates per aggregation level is increased, then the adaptability of resource allocation is improved, but the complexity of resource calculation and management increases
Solution Approach 1:
The patent segments the resource allocation problem by dividing candidates into different aggregation levels (AL1, AL2, AL4, AL8). Each level handles specific allocation scenarios, and the decision tree structure breaks down the complex calculation into sequential decision nodes based on system conditions, making the management of multiple candidates more systematic and less complex.
Solution Approach 2:
The patent applies preliminary action by pre-defining the decision tree structure with multiple allocation patterns before actual resource allocation occurs. The system pre-establishes the relationships between aggregation levels, candidates, and allocation patterns, so that during operation, resources are allocated through straightforward traversal of the pre-built decision tree rather than complex real-time calculations.
3Ease of operation
If fixed allocation patterns are used for PDCCH resources, then the ease of operation is improved, but the ability to adapt to varying system conditions deteriorates
Solution Approach 1:
The patent transforms fixed allocation patterns into dynamic ones by implementing a decision tree that adapts to varying system conditions. The system automatically adjusts the number and distribution of CCEs based on real-time factors like user activity, channel quality, and traffic patterns, maintaining ease of operation through automated decision-making while achieving high adaptability.
Solution Approach 2:
The patent creates a universal allocation framework that can handle multiple system conditions through a single decision tree structure. The same decision tree accommodates different scenarios (high user activity, low traffic, varying channel conditions) by routing through different decision nodes, providing multi-functionality that maintains operational simplicity across diverse conditions.
Data Source
AI summary
The present invention provides a method and system for improved Physical-layer processing for Physical uplink control channel (PDCCH) resource allocation mechanism for high speed wireless communication network. The method includes estimation of PDCCH resources with the default resource configuration; able to calculate the operational parameters dynamically; calculates the PDCCH candidates using the self-generated operation parameters; configure the system with the PDCCH resources to make it operational; and able to correct the estimation values of the PDCCH candidates using the feedback. Detailed methods for each of the above steps are also disclosed.