Laser-Linked Satellites Could Deliver 'Internet from Space'
Such a network could potentially reach remote and underserved areas.
A new design could double the network capacity of future “internet from space” systems.
Satellites do not yet play a major role in the world’s internet infrastructure. However, this may soon be set to change.
Within the next decade, a new generation of satellites could lay the foundations for an “internet from space,” says Ankit Singla, professor at ETH Zurich’s Network Design & Architecture Lab. His team is investigating how to improve the performance of large-scale computer networks, including the internet.
Exploiting advances in cost-cutting technologies in the space sector, the new satellite systems would use thousands of satellites instead of the tens of satellites used in past systems. Laser light could then link these satellites to each other to form a network.
The coverage these satellites would provide could reach remote regions that currently have no or very limited access to the internet. These regions are either entirely unconnected or poorly connected to the intercontinental fiber-optic cables that power today’s internet.
The 'Internet from Space' Race
The capabilities of the LEO satellites have triggered a new, contested “space race,” with heavyweights such as Elon Musk’s SpaceX and Jeff Bezos’ Amazon throwing their hats into the ring. These companies are developing large-scale satellite constellations with thousands to tens of thousands of satellites. These would orbit the Earth at speeds of 27,000 km/h (16,777 mp/h) at a height of around 500 km (around 311 miles) (traditional geostationary satellites orbit at around 35,768 km (22,225 miles).
SpaceX, for example, has already launched its first 120 satellites, and is planning to offer a satellite-based broadband internet service from 2020. In addition to global coverage, the technology used in the “internet from space” promises high data transfer rates without major delays in data transmission. The latency, as computer scientists call these delays, is significantly lower than that of geostationary satellites, and even that of underground fiber-optic lines for long-distance communication.
“If these plans succeed, it would be a huge leap forward in the world’s internet infrastructure,” says Debopam Bhattacherjee, a doctoral candidate working with Singla to investigate the optimal design of networks for satellite-based broadband internet in order to guarantee a high-bandwidth, delay-free data flow.
Delivering the Internet with Satellites
The new research challenges arising from the “internet from space” compared to the “internet at ground level” are due to the fact that the satellites are in motion. The satellites represent nodes through which the data travels. As the satellite-based nodes constantly change their position in relation to one another, they form a highly dynamic network.
In contrast, the transit nodes belonging to the “internet at ground level” do not change their location or position. As a result, the largely static infrastructure of the “internet at ground level” does not address the same requirements as those for the “internet from space.”
“To implement satellite-based broadband internet, we have to rethink virtually all aspects of the way in which the internet is currently designed to function,” says Singla.
He explains that as the satellites fly very fast and in dense swarms, more efficient approaches to network design are required for the satellite internet. Even the design concepts used for mobile networks on high-speed trains, drones, and aircraft cannot be transferred easily to satellites.
Bhattacherjee and Singla have now developed a mathematical model that demonstrates how one might fundamentally improve the network design in space. They have tested their design approach using the example of SpaceX and Amazon, but it can be applied independently of the technology of a particular company.
Connecting the Network
The design concept the researchers devised is based entirely on the high temporal dynamics of the low-Earth orbit satellites. The key question they first asked was: how can scientists link thousands of satellites together to achieve the best possible network performance? The answer is not easy, as each satellite can have no more than four connections to other satellites.
Intuitively, one might think that the satellites always connect only to the nearest satellites. According to Bhattacherjee, however, this assumption is too restrictive. The satellites could well connect to satellites that are more distant. To maximize data transfer efficiency, it would actually be more efficient if the data used longer connections but crossed fewer nodes (satellites). After all, the act of data crossing through a node also consumes resources, thus reducing resources available for other connections.
However, reducing the number of on-path nodes in order to increase efficiency must not compromise the length of the end-to-end path. Otherwise, this will deteriorate latency. Further, it is important that inter-satellite connections do not change too often, as establishing new connections can take tens of seconds during which data cannot be exchanged.
The idea behind the researchers’ approach is that the connections between the satellites would be built based on specialized, repetitive patterns. The most suitable pattern depends on the satellite constellation’s geometry and the network’s input traffic. A key point is that the connection pattern repeats on every satellite in the network, with all satellites connected in exactly the same way, and with the connections remaining stable over time.
In the case of SpaceX, the new design concept increases network efficiency by 54% in comparison with the current approach; for Kuiper (Amazon), the efficiency increase is 45%.
“Our approach could double the efficiency of satellite-based Internet,” says Bhattacherjee.
The researchers will present the results at ACM CoNEXT 2019.
This article was originally published in Futurity. It has been republished under the Attribution 4.0 International license.