Harnessing predictive models of durations of channel availability for enhanced opportunistic allocation of radio spectrum
US8254393B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 29, 2007 |
| Grant date | Aug 28, 2012 |
| Priority date | — |
| Expiry date | Feb 19, 2028 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/147
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A proactive adaptive radio methodology for the opportunistic allocation of radio spectrum is described. The methods can be used to allocate radio spectrum resources by employing machine learning to learn models, via accruing data over time, that have the ability to predict the context-sensitive durations of the availability of channels. The predictive models are combined with decision-theoretic cost-benefit analyses to minimize disruptions of service or quality that can be associated with reactive allocation policies. Rather than reacting to losses of channel, the proactive policies seek switches in advance of the loss of a channel. Beyond determining durations of availability for one or more frequency bands statistical machine learning also be employed to generate price predictions in order to facilitate a sale or rental of the available frequencies, and these predictions can be employed in the switching analyses The methods can be employed in non-cooperating distributed models of allocation, in centralized allocation approaches, and in hybrid spectrum allocation scenarios.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.