Learning-based semi-persistent scheduling in wireless communications
US8144589B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2008 |
| Grant date | Mar 27, 2012 |
| Priority date | — |
| Expiry date | Dec 16, 2030 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W72/535
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for a learning-based determination of semi-persistent scheduling of data-packet flow wireless communication. A packetized data flow served to a wireless terminal is fully scheduled for an initial period of time in order to collect statistics associated with scheduled packet sizes (Ss) and inter-packet times (Ts). Analysis of a cumulative distribution of {S, T} pairs indicate whether a characteristic packet size (S0) and size dispersion (D0) are associated with the cumulative distribution. Inter-time intervals associated with the characteristic size and dispersion complete a transport format. Semi-persistent scheduling is utilized for a packetized flow when a characteristic transport format can be extracted, or learned, from the accumulated statistics. Extracted transport formats can be employed to optimize scheduling efficiency upon handover.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.