Radio Resource Assessment Using Virtual Bins and Lookup Tables
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Solution Overview
Problem
Conventional network resource allocation techniques are inefficient, leading to suboptimal utilization of shared resources in wireless environments, as they do not consider interference from increased traffic loads, resulting in reduced spectral efficiency and increased costs.
Innovation Solution
A method using bin virtualization, where a lookup table maps combinations of path losses of wireless links to corresponding resource requirements for serving and neighbor radio nodes, allowing for efficient resource allocation and management by creating virtual bins that are independent of specific network infrastructure topology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ad hoc resource allocation is used to satisfy individual QoS requirements, then user service quality is improved, but overall resource utilization efficiency deteriorates
Solution Approach 1:
The patent segments the continuous geographical space into discrete bins and further segments resource allocation into pre-defined templates. Each bin represents a spatial unit with specific interference characteristics, and each template represents a pre-calculated resource allocation pattern. This segmentation allows the system to handle complex multi-user interference scenarios through discrete, manageable units rather than continuous optimization.
Solution Approach 2:
The patent performs preliminary action by pre-calculating resource requirements for all possible bin combinations and storing them in a lookup table before actual resource allocation occurs. The LUT contains pre-computed resource templates that map bin configurations to optimal resource allocations, eliminating the need for real-time complex calculations when service requests arrive.
2Reliability
If spectrum bandwidth is allocated to satisfy individual service requests, then user service quality is improved, but spectral efficiency deteriorates due to interference from increased traffic load
Solution Approach 1:
The patent implements feedback by using path loss measurements from the wireless environment to determine bin assignments and select appropriate resource templates. The system continuously monitors channel conditions through path loss estimation and uses this feedback to adapt resource allocation decisions, ensuring that allocations account for current interference levels and spectral efficiency implications.
Solution Approach 2:
The patent changes parameters by transitioning from individual user-based resource allocation to bin-based allocation. Instead of allocating resources based on individual user requests alone, the system changes the allocation parameter to be based on geographical bins and their interference characteristics, fundamentally altering how spectral efficiency is maintained while satisfying service requests.
3Reliability
If resource allocation is optimized for each individual user, then user-specific QoS is improved, but computational complexity and allocation time increase
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing resource allocation templates in a lookup table before actual service requests arrive. The LUT contains pre-computed optimal allocations for all possible bin combinations, so when a service request arrives, the system only needs to perform a quick table lookup rather than executing complex real-time optimization algorithms.
Solution Approach 2:
The patent uses copying by creating standardized resource allocation templates that can be copied and applied to multiple users with similar bin configurations. Instead of performing unique optimization for each user, the system creates template copies from the LUT that can be rapidly instantiated, dramatically reducing computational time while maintaining optimized allocation patterns.
4Productivity
If resource allocation considers interference from neighbor nodes, then spectral efficiency is improved, but device complexity and calculation overhead increase
Solution Approach 1:
The patent segments the network into geographical bins that group neighbor nodes with similar interference characteristics. Instead of individually tracking and calculating interference from each neighbor node, the system segments them into bins, reducing the complexity of interference management while still capturing the essential interference relationships for spectral efficiency optimization.
Solution Approach 2:
The patent creates universal resource allocation templates in the lookup table that can be applied across different network configurations and scenarios. These templates serve multiple functions: they encode interference considerations, provide optimized allocations, and can be rapidly deployed without reconfiguration. This universality reduces device complexity by providing a single framework that handles diverse interference scenarios.
Data Source
AI summary
Embodiments are provided for assessing radio resource requirements using virtual bin virtualization. An embodiment method includes receiving a service request from a user equipment (UE) in a geographical bin. Resource requirements are then obtained, from a lookup table (LUT), for a serving radio node and neighbor radio nodes associated with the geographic bin of the UE. The LUT comprises a plurality of entries that map combinations of path losses of wireless links for the serving radio node and neighbor radio nodes to corresponding combinations of resource requirements. The entries of the path losses further include one or more service specific and network node parameters for the serving radio nodes and neighbor radio nodes, which are also mapped to the resource requirements. The obtained resource requirements are then assessed, including deciding whether to serve the UE according to the resource requirements and to resource availability.