Radio Stripe Wireless Communication With Dynamic APU Activation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems face inefficiencies in dynamically configuring networks to meet service level agreements (SLAs) and adapt to changing environmental conditions, particularly in 5G use-cases requiring high reliability, capacity, and low latency, as static base station deployments are costly and complex, and existing methods struggle with managing connectivity in dynamic demand scenarios.
Innovation Solution
The implementation of a wireless communication system using a radio stripe with distributed Antenna Processing Units (APUs) and a controller that dynamically activates or deactivates APUs based on environmental conditions, utilizing machine learning techniques to optimize APU states and improve interference management, throughput, and power utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If more base stations are added to enhance coverage and connectivity, then network coverage and reliability are improved, but device complexity and deployment cost increase
Solution Approach 1:
The base station is segmented into a centralized controller and multiple distributed APUs. The controller handles higher-layer protocols and coordination, while APUs handle radio frequency operations independently. This segmentation allows the system to achieve enhanced coverage through distributed APUs without proportionally increasing overall system complexity, as the centralized controller provides unified management.
Solution Approach 2:
The system implements dynamic activation and deactivation of APUs based on environmental conditions and service level agreements. The controller can selectively activate only the necessary APUs required to meet current connectivity demands, rather than permanently deploying all possible base station components. This dynamic approach improves reliability when needed while reducing deployment complexity when demands are lower.
2Reliability
If base station power is increased to enhance coverage, then network coverage is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts the operational state of individual APUs based on real-time environmental conditions and connectivity requirements. When full coverage is not needed, the controller deactivates unnecessary APUs, significantly reducing overall power consumption while maintaining adequate coverage through the remaining active APUs. This dynamic power management resolves the contradiction between maintaining coverage and reducing energy use.
Solution Approach 2:
Different APUs can be activated or deactivated based on local environmental conditions and demand patterns in specific geographic areas. This allows the system to concentrate power resources in high-demand areas while reducing or eliminating power consumption in low-demand areas, optimizing the balance between coverage and energy consumption at local levels.
3Ease of manufacture
If static base station deployment is used to simplify installation, then deployment complexity is reduced, but adaptability to changing environmental conditions deteriorates
Solution Approach 1:
The system is divided into a centralized controller that manages adaptation logic and distributed APUs that execute control decisions. This segmentation allows the system to be deployed using simple, standardized components while the centralized controller provides sophisticated adaptive management. The deployment remains simple because the hardware components are standardized, but adaptability is achieved through software-based control in the centralized controller.
Solution Approach 2:
The centralized controller automatically monitors environmental conditions and autonomously makes decisions about APU activation and deactivation based on service level agreements and current network demands. This self-service capability allows the system to adapt to changing environmental conditions without manual reconfiguration, maintaining deployment simplicity while achieving high adaptability through automated decision-making.
4Reliability
If manual network configuration is used per SLA requirements, then service level agreement compliance is achieved, but productivity and operational efficiency decrease
Solution Approach 1:
The centralized controller automatically monitors service level agreement requirements and environmental conditions, then autonomously configures and reconfigures the APU network to comply with SLAs. This eliminates the need for manual configuration while ensuring continuous SLA compliance, thereby improving productivity without sacrificing reliability. The system self-adjusts by activating or deactivating APUs based on real-time demand and SLA requirements.
Solution Approach 2:
The system implements continuous feedback loops where the centralized controller monitors both environmental conditions and SLA compliance metrics, then uses this feedback to dynamically adjust APU configuration. This closed-loop control ensures that the network automatically adapts to maintain SLA compliance while optimizing operational efficiency, resolving the contradiction between strict SLA adherence and configuration productivity.
Data Source
AI summary
Methods provide wireless communication using a plurality of Antenna Processing Units APUs distributed along a radio stripe and sharing a bus along the radio stripe. Access is provided to a plurality of APU activation/deactivation states for a respective plurality of environmental conditions, wherein each one of the plurality of APU activation/deactivation states defines APUs of the plurality of APUs that are activated and APUs of the plurality of APUs that are deactivated for the respective one of the plurality of environmental conditions. Responsive to detecting a first one of the plurality of environmental conditions, a first one of the plurality of APU activation/deactivation states corresponding to the first one of the plurality of environmental conditions is applied to activate a first subset of the APUs and to deactivate a second subset of the APUs, wherein the first and second subsets of APUs are mutually exclusive.