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How MIT researchers may have solved the spectrum crunch using algebra
Almost all of our current data problems come from congestion of the network. There are so many people pulling information all at once that sometimes things go wrong and data packets get lost. Then the network has to resend those data packets. So not only are a whole bunch of people asking the network for data, but the data must be sent twice in many cases.
This results in pretty low data speeds, but MIT researchers believe they may have solved the problem. How do they do it? Using our old friend algebra. Basically, instead of letting the network resend missing data packets, the device receives an algebraic equation describing the data packets.
Using it, the device simply reconstructs the missing data packets itself. It sounds complicated because it is complicated. However, it involves much less from the network, which is then free to go about providing faster speeds to more people.
Does MIT have a breakthrough here?
Oh my goodness yes. In preliminary testing, MIT researchers were able to boost speeds from 1Mbps to 16Mbps in systems so congested that 2% of data packets were lost. That is just an amazing increase. In similar tests, MIT researchers were able to boost speeds from .5Mbps to 13.5MBps in systems that were so crowded that 5% of data packets were lost.
To put that in perspective, Technology Review states that in an average day in Boston, 3% of data packets are lost because of the network congestion. So a method like this would theoretically boost Boston data speeds by a considerable amount.
It is very unlikely that everyone would experience the kind of data speed boosts that MIT researchers saw. However, even if it works at only a fraction of MIT’s success, it’ll help alleviate the spectrum crunch issue. If you don’t know about the spectrum crunch issue, you can find out more about it at the FCC’s official website. What are your thoughts on this?