Sub-Messages Scheduling in GNSS Packet Broadcasting By Message Splitting
| Autor: | Stefano Tomasin, Francesco Ardizzon, Nicola Laurenti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Network packet global navigation satellite systems scheduling boradcast binary linear programming mixed integer linear programming Broadcasting mixed integer linear programming binary linear programming Scheduling (computing) global navigation satellite systems GNSS applications Bit error rate Erasure Minification scheduling boradcast business Integer programming Computer Science::Information Theory Computer network |
| Zdroj: | ICL-GNSS |
| Popis: | Recently, global navigation satellite systems (GNSSs) have started offering additional services to improve the precision of positioning, authenticate the GNSS signal, and broadcast messages (e.g., almanacs or information needed for search and rescue purposes). In all these scenarios, possibly long messages must be broadcast over the low-rate satellite-ground communication link. By splitting the message into sub-messages, each transmitted by a different satellite, the receiver can decode them simultaneously, achieving a higher equivalent data rate. In this paper we address the problem of scheduling sub-message transmissions on a constellation of satellites for transmission over error-free and erasure channels. For the error-free case we aim at maximizing the area over the earth, where the entire message can be decoded. Both optimal (by binary linear programming) and sub-optimal low-complexity solutions are investigated. For erasure channels we consider two possible targets: either the minimization of the maximum packet error rate (PER) on the earth surface, or, in a dual fashion, the maximization of the area where all sub-messages are received with PER below a given threshold. Both problems are framed as integer linear programming problems, and again suboptimal, less computationally demanding solutions are also developed. |
| Databáze: | OpenAIRE |
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