Distributed Radio Resource Management Neighbor Discovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radio resource management methods in wireless networks with a large number of radios with heterogeneous properties are inefficient in discovering neighbors, leading to suboptimal performance in tasks such as client load balancing, channel assignment, and failure recovery.
Innovation Solution
A distributed method where wireless network devices exchange information and measurements to determine a score for neighboring relationships, enabling efficient radio resource management, including client load balancing, channel assignment, performance monitoring, and failure recovery, by identifying the most likely neighbors and using this information for decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If distributed neighbor discovery methods are used in wireless networks with large number of radios, then the efficiency of radio resource management tasks is improved, but the complexity of information exchange and score computation increases
Solution Approach 1:
The patent segments the neighbor discovery process into modular components: information collection from clients, score computation based on multiple parameters, and iterative refinement of neighbor lists. Each access point independently performs these segmented tasks for its own neighbor discovery, reducing overall system complexity while maintaining high efficiency in radio resource management tasks.
2Measurement precision
If accurate neighbor identification is achieved through multiple measurements and score computation, then the precision of radio resource management decisions is improved, but the time and computational resources required increase
Solution Approach 1:
The patent performs preliminary actions by collecting information from multiple clients and computing initial scores before final neighbor identification. Access points gather client measurements, compute relationship scores based on multiple parameters (signal strength, client overlap, interference levels), and refine neighbor lists iteratively. This preliminary processing enables accurate neighbor identification while optimizing the timing of computational tasks to minimize time loss.
3Adaptability or versatility
If distributed methods are used to enable wireless network devices to discover neighbors by exchanging messages, then the adaptability of the system to heterogeneous radio properties is improved, but the quantity of information exchanged increases
Solution Approach 1:
The patent applies local quality by enabling each access point to perform distributed neighbor discovery independently based on its local radio properties and client measurements. Each access point collects information from its own clients, computes scores tailored to its heterogeneous radio capabilities, and maintains its own neighbor list. This localized approach enhances adaptability to diverse radio properties while minimizing the quantity of information exchanged, as each device processes local data rather than sharing all information network-wide.
Data Source
AI summary
A wireless network includes wireless network devices each having at least one radio providing wireless services to wireless clients. A first wireless network device collects first information and first measurement from at least one client using the at least one radio in the first wireless network device. A second wireless network device is configured to collect second information and second measurements from the at least one client using the at least one radio in the second wireless network device. Either one or both of the first and second wireless network devices is configured to determine a score about the relationship between the at least one radio in the first wireless network device and the at least one radio the second wireless network device using at least the first information and the second information, and the first measurements and the second measurements.


