Radio Unit Resource Masking for 5G Base Station Memory Optimization
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Solution Overview
Problem
In wireless communication systems, particularly in 5G networks, there is a challenge in effectively managing resources and preventing memory waste in radio units (RUs) of base stations, especially due to the increased demand for high-frequency bands and the separation of digital units (DUs) and RUs, which leads to inefficiencies in resource allocation and increased installation costs.
Innovation Solution
The method involves transmitting a message from the RU to the DU indicating the maximum number of masks for a resource area, allowing the DU to generate a response message that specifies resources sharing the same beam, thereby optimizing resource usage and preventing unnecessary memory allocation in the RU.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the base station is separated into digital unit (DU) and radio unit (RU) to increase transmission capacity, then transmission capacity is improved, but device complexity increases and resource management becomes more difficult
Solution Approach 1:
The base station is divided into two functional units: Digital Unit (DU) and Radio Unit (RU). The DU handles digital signal processing and control functions, while the RU handles radio frequency operations. This segmentation allows each unit to be optimized independently, improving overall transmission capacity while distributing complexity across separate modules.
Solution Approach 2:
A standardized interface mechanism is introduced between the DU and RU to manage resource allocation and information exchange. This intermediary layer coordinates resource requests and assignments, enabling efficient resource management despite the physical separation of functions, thus improving capacity without proportionally increasing operational complexity.
2Reliability
If memory resources in RU are allocated to handle future resource requests, then reliability is improved, but loss of substance increases due to memory waste
Solution Approach 1:
The memory allocation mechanism in the RU is made dynamic rather than static. The RU reports its available memory capacity to the DU, which then adjusts resource allocation based on actual needs. This dynamic approach ensures sufficient memory is allocated for reliable operation while preventing waste by allocating only what is currently required, not maximum potential requirements.
Solution Approach 2:
A feedback loop is established where the RU continuously reports its memory status and resource usage to the DU. The DU uses this feedback to adjust future resource allocations, ensuring that memory is allocated reliably when needed while minimizing waste during periods of lower demand. This feedback mechanism enables adaptive memory management.
3Speed
If beam information is stored in RU for fast access, then speed is improved, but loss of substance increases due to unnecessary memory allocation
Solution Approach 1:
Beam information is pre-calculated and prepared in the DU before being transferred to the RU. The RU receives only the specific beam information needed for current operations rather than storing all possible beam data. This preliminary preparation in the DU enables fast access at the RU without requiring the RU to allocate large memory buffers for all potential beam scenarios.
Data Source
AI summary
The disclosure relates to a pre 5th generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th generation (4G) communication system such as long term evolution (LTE). A method for operating a radio unit (RU) of a base station is provided. The method includes transmitting, to a digital unit (DU), a first message comprising a value indicating the maximum number of masks for one resource area, and receiving, from the DU, a second message generated based on the value, wherein the mask may indicate resources to which the same beam is applied within the resource area.