LTE-Advanced Carrier Aggregation Scheduling Algorithm
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Solution Overview
Problem
The conventional approach of allowing LTE-advanced users to be configured on all component carriers maximizes scheduling diversity but increases power consumption and processing, which scales with the number of carriers, posing a challenge in achieving energy efficiency without compromising scheduling performance.
Innovation Solution
Proposing efficient, greedy algorithms for joint secondary component carrier selection and scheduling that allow LTE-advanced users to operate on a small subset of component carriers, integrating carrier selection with scheduling to reduce energy consumption while maintaining performance gains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If LTE-advanced users are configured on all component carriers, then scheduling diversity gain is maximized, but power consumption and processing increase
Solution Approach 1:
The patent applies partial action by configuring users on a subset of component carriers rather than all available carriers. The system dynamically determines the optimal number of SCCs to activate based on channel conditions, traffic load, and user requirements, achieving sufficient scheduling diversity while reducing power consumption and processing requirements proportional to the number of active carriers.
Solution Approach 2:
The patent implements dynamic carrier activation and deactivation of secondary component carriers based on real-time system conditions. The network can adjust the number and selection of SCCs configured for each user according to channel quality, traffic demand, and interference conditions, allowing the system to adapt between maximizing diversity gain and minimizing power consumption as conditions change.
2Use of energy by moving object
If the number of component carriers is reduced to half, then energy consumption decreases, but scheduling gain may be compromised
Solution Approach 1:
The patent changes the parameter of carrier configuration from static (all or nothing) to dynamic and selective. By introducing criteria-based selection of SCCs based on channel quality metrics, traffic patterns, and user equipment capabilities, the system identifies the most valuable subset of carriers to activate, ensuring that the reduced number of carriers (e.g., half) still provides adequate scheduling diversity for maintaining performance gains.
3Ease of operation
If conventional load and signal power based carrier selection is used, then implementation is simple, but throughput gain is limited
Solution Approach 1:
The patent incorporates feedback mechanisms where the system monitors performance metrics such as throughput, channel quality, and user experience on actively configured carriers. Based on this feedback, the network dynamically adjusts the selection and number of SCCs configured for users, iteratively optimizing the balance between implementation complexity and throughput performance, achieving 15-25% throughput gain over conventional approaches.
Data Source
AI summary
A method implemented in a mobile communications system is disclosed. The method includes selecting primary component carrier cp for a new user according to a formula, and performing joint secondary CC selection for one or more Long Term Evolution (LTE)-Advanced users and resource scheduling for one or more LTE users and said one or more LTE-Advanced users. Other methods, systems, and apparatuses also are disclosed.