Base Station Processor Pooling for Dynamic Cell Load Balancing
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Solution Overview
Problem
The increasing complexity of signal processing in wireless communication systems, particularly in LTE-A and 5G systems, leads to higher hardware implementation costs and inefficiencies due to fixed processing powers in base station processors, which limits the ability to efficiently handle varying wireless data traffic across multiple cells.
Innovation Solution
A method and apparatus for a base station that pools processing powers between multiple processors to distribute and allocate resources based on load information, allowing for efficient signal processing across cells by adjusting processing loads to maximize throughput and minimize performance impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed processing powers are allocated to each processor, then hardware implementation is simpler, but the ability to efficiently handle varying wireless data traffic across multiple cells is limited
Solution Approach 1:
The patent implements dynamic processing power allocation where the pooling processor can adjust and redistribute processing resources among multiple processors based on real-time traffic conditions. This allows the system to adapt processing capacity dynamically to match varying data traffic demands across different cells, resolving the contradiction between fixed allocation simplicity and dynamic efficiency.
Solution Approach 2:
The pooling processor serves multiple functions: it pools processing power from individual processors, distributes resources based on traffic conditions, and manages load balancing across cells. This multi-functional approach enables a single component to handle various resource management tasks, improving overall system efficiency without proportionally increasing complexity.
2Productivity
If processing power is pooled and distributed dynamically, then wireless data traffic processing efficiency is improved, but hardware implementation complexity increases
Solution Approach 1:
The patent merges the processing powers of multiple individual processors into a pooled resource that can be dynamically allocated. By combining processing capabilities while maintaining individual processor functionality, the system achieves higher throughput for handling multiple cells without completely redesigning the hardware architecture, thus managing complexity while improving productivity.
3Productivity
If more processors are allocated to handle increasing wireless data traffic, then processing capacity increases, but hardware implementation costs increase
Solution Approach 1:
Instead of allocating dedicated processors to each cell, the patent implements dynamic sharing where a pool of processors can be allocated to multiple cells based on traffic demand. This allows the system to handle increasing data traffic by optimizing the utilization of existing processors rather than simply adding more hardware, thereby increasing capacity while controlling the quantity of processors needed.
Data Source
AI summary
Provided are a base station which processes a plurality of cells in a wireless communication system and an operation method of the base station. The operation method of the base station which processes a plurality of cells includes pooling a processing power of a first processor that processes a signal of a first cell and a processing power of a second processor that processes a signal of a second cell, and distributing the processing powers to the first processor and the second processor and processing, by the first processor and the second processor, the signal of the first cell and the signal of the second cell by using the distributed processing powers.