Dynamic Wireless Band Assignment via Bandwidth Ratios
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Solution Overview
Problem
In dual connectivity environments, the static band selection in 4G LTE and 5G NR configurations leads to underutilization of available NR frequency bands, particularly in dense or congested areas, resulting in suboptimal wireless device performance.
Innovation Solution
A method and system for dynamically assigning wireless devices to frequency bands based on the ratio of each band's bandwidth to the total available bandwidth, ensuring that devices are distributed across multiple bands to maximize capacity and performance, with caps set for each band to manage device allocation effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a static band selection configuration is used in EN-DC, then the network setup is simple and easy to manage, but the NR frequency bands are underutilized and wireless device performance is suboptimal in dense environments
Solution Approach 1:
The patent implements dynamic band selection where the master node continuously monitors device capabilities and network conditions, then assigns devices to appropriate NR bands in real-time. This transforms the static band assignment into a dynamic process that adapts to changing conditions, maximizing NR band utilization while maintaining simple network architecture.
Solution Approach 2:
The system changes the band assignment parameter from fixed to variable based on device capabilities and network load. By calculating bandwidth ratios and dynamically adjusting which band each device connects to, the system optimizes capacity utilization without complicating the underlying network configuration.
2Device complexity
If all wireless devices are assigned to a single prioritized NR band, then the configuration is simple, but the total network capacity is not maximized and performance degrades in congested areas
Solution Approach 1:
The patent segments the device population based on their NR band capabilities and assigns them to different NR bands. By dividing devices into groups that connect to different bands (band 3, band 7, band 38, etc.), the system distributes load across multiple bands, increasing total network capacity while keeping individual device assignments simple.
Solution Approach 2:
The system adds a new dimension to band assignment by considering the ratio of each band's bandwidth to total available bandwidth. This dimensional approach allows optimal distribution of devices across bands based on capacity ratios, maximizing utilization without increasing operational complexity.
3Productivity
If the master node assigns devices to multiple NR bands dynamically, then NR band capacity is fully utilized and performance is enhanced, but the control mechanism becomes more complex
Solution Approach 1:
The master node automatically performs band assignment by monitoring device capabilities and network conditions, then making assignments without manual intervention. The system serves itself by dynamically adjusting band assignments based on calculated bandwidth ratios, enhancing capacity utilization while keeping control mechanisms automated rather than manual.
Solution Approach 2:
The system implements feedback loops where the master node continuously monitors which bands are congested and which have available capacity, then adjusts assignments accordingly. This feedback mechanism optimizes band utilization dynamically while maintaining relatively simple control through automated monitoring and adjustment.
Data Source
AI summary
Systems and methods provide for assignment of wireless devices to a frequency band for a particular RAT. The method may include determining corresponding bandwidths for each frequency band, calculating a ratio of each bandwidth to a total bandwidth, and ranking each band based on bandwidth. The method may further include assigning wireless devices to the frequency bands based on the rankings of each band and the caps imposed on each band.