Femtocell Resource Allocation via SIR-Based Cooperative Grouping
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Solution Overview
Problem
Current resource allocation methods for femtocells in urban areas with intensive deployment are inefficient due to the need for central control systems, leading to long computation times and neglect of interactive interference, which worsens system performance.
Innovation Solution
A cooperative group-based resource allocation method that groups femtocells and user equipment (UE) affected by interference, allowing them to perform resource allocation without a central control system, using Signal-to-Interference Ratio (SIR) measurements to determine group membership and allocate resources efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a central control system is used to allocate resources among femtocells, then resource allocation decisions can be made, but computation time increases significantly and system complexity increases
Solution Approach 1:
The patent segments the femtocell network into multiple geographic clusters, with each cluster managed by a distributed controller rather than a single central controller. This segmentation reduces the computational burden on any single controller and decreases computation time by dividing the overall resource allocation problem into smaller, manageable sub-problems that can be solved in parallel.
2Productivity
If a central control system controls all base stations, then resource allocation can be decided, but device complexity and system complexity increase due to the need to control a large number of base stations
Solution Approach 1:
The control system is segmented into multiple distributed controllers, each responsible for a specific geographic cluster of femtocells. This reduces the complexity of any single controller by limiting its scope to a manageable subset of base stations, while maintaining overall system coordination through inter-controller communication.
Solution Approach 2:
Each distributed controller is designed with specialized functionality tailored to its specific cluster's characteristics and interference patterns. This local optimization allows each controller to efficiently manage its local resources without needing to process information from the entire network, reducing overall system complexity.
3Productivity
If traditional resource allocation methods are used, then resource allocation can be performed, but interactive interference among femtocells is neglected, worsening system performance
Solution Approach 1:
The patent implements feedback mechanisms where each distributed controller monitors interference levels and resource utilization in its cluster, and adjusts resource allocation decisions based on this feedback. Controllers also exchange information with neighboring controllers to coordinate resource allocation across cluster boundaries, ensuring that interactive interference is accounted for while maintaining allocation speed.
Data Source
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AI summary
A method for resource allocation for use in a wireless communication system including at least one first femtocell and one neighboring second femtocell is provided. At least one first mobile communications device camps on the first femtocell. The method includes the steps of determining a first group corresponding to the first femtocell and the second group corresponding to the second femtocell according to at least one signal-to-interference ratio (SIR) of the first and second femtocells measured by the first mobile communications device and a threshold, wherein the first mobile communications device is included in the first group and the second group simultaneously, and the first and second groups forms an allocation group when the measured SIR of the first and second femtocells is less than the threshold, and sequentially performing a resource-allocation procedure on each group of the allocation group according to a specific allocation order.