Smart Site Diversity for a High Throughput Satellite System with Software-Defined Networking and a Virtual Network Function

Gandhimathi Velusamy and Ricardo Lent
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Gandhimathi Velusamy: College of Technology, University of Houston, Houston, TX 77204, USA
Ricardo Lent: College of Technology, University of Houston, Houston, TX 77204, USA

Future Internet, 2020, vol. 12, issue 12, 1-17

Abstract: High Throughput Satellite (HTS) systems aim to push data rates to the order of Terabit/s, making use of Extremely High Frequencies (EHF) or free-space optical (FSO) in the feeder links. However, one challenge that needs to be addressed is that the use of such high frequencies makes the feeder links vulnerable to atmospheric conditions, which can effectively disable channels at times or temporarily increases the bit error rates. One way to cope with the problem is to introduce site diversity and to forward the data through the gateways not affected, or at least less constrained, by adverse conditions. In this paper, a virtual network function (VNF) introduced through reinforcement learning defines a smart routing service for an HTS system. Experiments were conducted on an emulated ground-satellite system in CloudLab, testing a VNF implementation of the approach with software-defined networking virtual switches, which indicate the expected performance of the proposed method.

Keywords: reinforcement learning; learning automata; Q-Learning; SDN; VNF; routing; high throughput satellites; smart gateway diversity (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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