SDN Antenna Farm Controller for Dynamic Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems, particularly in advanced networks like 5G and 6G, face challenges in providing consistent service quality due to environmental conditions and demand for high bandwidth, especially with the integration of satellite communication, which suffers from signal quality issues and dynamic bandwidth control.
Innovation Solution
An antenna farm intelligent software-defined networking (SDN) enabled dynamic resource controller that dynamically adjusts the number of antennas and communication protocols based on environmental conditions and service requirements, transitioning between access networks and satellite networks to ensure quality of service (QoS) and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite communication is integrated to provide wide coverage, then service area is improved, but signal quality deteriorates due to environmental conditions
Solution Approach 1:
The system segments the communication infrastructure into multiple antenna farms distributed across different locations. Each antenna farm serves as an independent unit that can be individually controlled and optimized, allowing the system to maintain signal quality while providing wide geographic coverage through coordinated operation of multiple segmented units.
Solution Approach 2:
The patent implements dynamic resource allocation where the network controller continuously adjusts antenna allocation, power levels, and communication protocols based on real-time environmental conditions, user demand, and signal quality metrics. This dynamic adaptation enables the system to maintain reliable signal quality across varying environmental conditions while serving a wide area.
2Productivity
If more antennas are deployed to increase bandwidth capacity, then data transmission capability is improved, but system complexity increases
Solution Approach 1:
The patent designs antenna farms with multi-functional capabilities where each antenna can serve multiple purposes: providing wideband signals for high-capacity transmission, forming directional beams for targeted coverage, and adapting to different communication protocols. This universality allows the system to achieve high bandwidth capacity without proportionally increasing system complexity, as the same physical infrastructure performs multiple functions.
Solution Approach 2:
The system dynamically changes operational parameters such as antenna activation states, beamforming weights, modulation schemes, and coding rates to optimize bandwidth capacity according to real-time conditions. Rather than requiring fixed complex hardware for maximum capacity, the system achieves high productivity through flexible parameter adjustment of the antenna farm resources.
3Adaptability or versatility
If dynamic resource allocation is implemented to optimize service quality, then adaptability is improved, but control complexity increases
Solution Approach 1:
The patent implements self-organizing antenna farms that automatically adjust their operation based on local conditions and network state. Each antenna farm monitors its own performance metrics and environmental conditions, making local decisions about resource allocation and configuration. This self-service capability reduces the burden on centralized control while maintaining high adaptability to changing conditions.
Solution Approach 2:
The system employs continuous feedback loops where performance metrics, environmental conditions, and resource utilization data are collected and used to dynamically adjust antenna allocation and communication parameters. This feedback mechanism enables automatic adaptation to changing conditions without requiring complex manual control, as the system self-regulates based on real-time information.
4Reliability
If antenna allocation is dynamically adjusted based on environmental conditions, then signal reliability is improved, but processing requirements increase
Solution Approach 1:
The system applies partial resource allocation where not all antennas are actively processed at full capacity simultaneously. Instead, the network controller selectively activates and processes only the subset of antennas needed to meet current service quality requirements and environmental conditions. This partial action approach maintains signal reliability through adequate resource allocation while avoiding the excessive processing requirements that would result from continuously operating all antennas at maximum capacity.
Data Source
AI summary
Facilitating antenna farm intelligent software defined networking enabled dynamic resource controller networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a system can comprise evaluating a condition, the condition being at a mobile device, and a characteristic related to a defined network service associated with a connection to the mobile device. The operations can also comprise selectively modifying a quantity of antennas utilized to provide the connection to the mobile device based on the condition being determined to influence a level of service associated with the defined network service.