Context-Aware Wireless Link Selection for Interference Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing complexity of wireless communication environments with multiple radiofrequency communication devices and protocols operating in shared communication frequency bands leads to interference and packet collisions, making it challenging to optimize wireless link selection for efficient communication.
Innovation Solution
A context-aware radio resource management system with a concurrent wireless link optimization system assesses interference and adjusts wireless link operations to minimize conflicts, using software agents and data scheduling to select optimal links based on usage trends, RF traffic reports, and battery power levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple radiofrequency communication devices operate in shared communication frequency bands, then communication coverage and connectivity are improved, but interference and packet collisions increase
Solution Approach 1:
The system performs preliminary actions by predicting future mobile paths and pre-selecting optimal wireless links before the device actually moves to those locations. The radio resource management system anticipates upcoming communication needs along predicted paths and prepares link selections in advance, avoiding interference issues before they occur. This includes predicting mobile paths based on current position, velocity, and historical data, then pre-evaluating wireless link quality along these predicted trajectories.
Solution Approach 2:
The system dynamically adjusts wireless link selection based on real-time context awareness of device movement, battery power levels, and network conditions. Rather than static link assignment, the radio resource management continuously adapts link choices as devices move through shared frequency bands, modifying selections in response to changing interference conditions, power constraints, and QoS requirements along the mobile path.
2Reliability
If wireless link selection is optimized for efficiency, then communication quality is improved, but system complexity increases
Solution Approach 1:
The radio resource management system performs self-service by autonomously predicting mobile paths, evaluating wireless link options, and making link selection decisions without requiring complex external coordination. The system uses locally available data including device position, velocity, battery status, and historical communication patterns to independently determine optimal links, reducing the need for complex inter-device negotiation and centralized control mechanisms.
Solution Approach 2:
The system replaces complex mechanical coordination mechanisms with information-based substitution. Instead of using intricate signaling protocols and coordination overhead to manage link selection, the system substitutes these with sophisticated prediction algorithms and context-aware decision-making that use information processing to achieve coordination-free optimization of wireless links.
3Object-affected harmful factors
If dynamic adjustment of link operations is implemented, then interference reduction is achieved, but processing requirements increase
Solution Approach 1:
The system applies local quality by focusing processing efforts on locally relevant factors rather than globally optimizing all parameters simultaneously. The radio resource management prioritizes context-aware decisions based on local device conditions such as immediate position, current battery level, and nearby network nodes, making localized optimization decisions that reduce interference without requiring exhaustive processing of all possible link configurations across the entire network.
Solution Approach 2:
The system changes parameters dynamically based on device state, adjusting the level of processing intensity according to battery power levels and communication urgency. When battery is abundant and time is available, more computationally intensive prediction and optimization is performed. When battery is low or time-critical communication is needed, the system reduces processing requirements by using simplified decision rules or pre-computed link selections, thereby managing the trade-off between interference reduction and energy consumption.
Data Source
AI summary
A system and method including at least one wireless adapter for communicating on a plurality of available wireless links concurrently operating within a shared and licensed communication frequency band and an application processor executing code instructions of a radio resource management system for determining a plurality of optimal wireless links from the plurality of available wireless links within the shared communication frequency band at a location based on a spatial-temporal radio frequency profile indicating signal quality for the plurality of available wireless links. The application processor selects a WLAN wireless link and an unlicensed small cell WWAN wireless link from the plurality of optimal wireless links and determines local interference between the selected WLAN wireless link and the selected unlicensed small cell WWAN wireless link operating in the shared communication frequency band via execution of code instructions of a concurrent wireless link optimization system wherein if the determination of local interference between the selected WLAN wireless link and the selected unlicensed small cell WWAN wireless link reaches an interference threshold level, switching the unlicensed small cell WWAN wireless link to a licensed communication frequency band for small cell WWAN wireless communication.