Resource Cost Database for Wireless Network Interference
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Solution Overview
Problem
Conventional network resource allocation methods in wireless environments are inefficient, as they do not consider interference from increased traffic loads, leading to reduced spectral efficiency and suboptimal resource utilization.
Innovation Solution
The development of a resource cost database that models interference costs on virtual radio interfaces as a function of loading, allowing for dynamic resource provisioning and pricing adjustments based on supply and demand, optimizing spectral efficiency and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network resources are allocated in an ad hoc manner to satisfy individual QoS requirements, then quality of service is improved, but overall resource utilization efficiency deteriorates
Solution Approach 1:
The patent introduces an intermediary resource cost database that mediates between individual service requests and network resource allocation. This database stores pre-computed interference cost functions that translate QoS requirements into resource cost estimates, enabling efficient resource provisioning decisions without ad hoc calculations for each service request.
Solution Approach 2:
The patent performs preliminary computation of interference cost functions and stores them in a resource cost database before actual service provisioning. By pre-calculating how interference costs vary with loading conditions on virtual links, the system avoids repeated ad hoc calculations and enables fast, efficient resource allocation decisions.
2Reliability
If spectrum bandwidth is allocated to satisfy an individual service request, then quality of service is improved, but spectral efficiency deteriorates due to interference from increased traffic load
Solution Approach 1:
The resource cost database acts as an intermediary that quantifies the spectral efficiency loss (interference cost) before allocating bandwidth. By using pre-computed interference cost functions, the system can predict how much spectral efficiency will be lost due to interference from additional traffic, enabling informed decisions about whether to allocate bandwidth.
Solution Approach 2:
The patent implements feedback mechanisms where interference cost functions are continuously updated based on observed network conditions and actual interference measurements. This feedback loop allows the system to adapt to changing network conditions and improve spectral efficiency predictions over time.
Data Source
AI summary
Interference costs on virtual radio interfaces can be modeled as a function of loading in a wireless network to estimate changes in spectral efficiency and/or resource availability that would result from a provisioning decision. In one example, this modeling is achieved through cost functions that are developed from historical and/or simulated resource cost data corresponding to the wireless network. The cost data may include interference data, spectral efficiency data, and/or loading data for various links over a common period of time (e.g., a month, a year, etc.), and may be analyzed and/or consolidated to obtain correlations between interference costs and loading on the various links in the network. As an example, a cost function may specify an interference cost on one virtual link as a function of loading on one or more neighboring virtual links.