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Edholm's law

From Wikipedia, the free encyclopedia
Law predicting that bandwidth and data rates double every 18 months

Edholm's law, proposed by and named after Phil Edholm, refers to the observation that the three categories oftelecommunication,[1] namelywireless (mobile), nomadic (wireless without mobility) and wirednetworks (fixed), are in lockstep and gradually converging.[2] Edholm's law also holds thatdata rates for these telecommunications categories increase on similar exponential curves, with the slower rates trailing the faster ones by a predictable time lag.[3] Edholm's law predicts that thebandwidth and data rates double every 18 months, which has proven to be true since the 1970s.[1][4] The trend is evident in the cases ofInternet,[1]cellular (mobile),wireless LAN andwireless personal area networks.[4]

Concept

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Edholm's law was proposed by Phil Edholm ofNortel Networks. He observed that telecommunicationbandwidth (includingInternet access bandwidth) was doubling every 18 months, since the late 1970s through to the early 2000s. This is similar toMoore's law, which predicts an exponential rate of growth fortransistorcounts. He also found that there was a gradual convergence between wired (e.g.Ethernet), nomadic (e.g.modem andWi-Fi) andwireless networks (e.g.cellular networks). The name "Edholm's law" was coined by his colleague, John H. Yoakum, who presented it at a 2004Internet telephony press conference.[1]

Slower communications channels likecellphones andradio modems were predicted to eclipse the capacity of earlyEthernet, due to developments in the standards known asUMTS andMIMO, which boosted bandwidth by maximizing antenna usage.[1] Extrapolating forward indicates a convergence between the rates of nomadic and wireless technologies around 2030. In addition, wireless technology could end wireline communication if the cost of the latter's infrastructure remains high.[2]

Underlying factors

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In 2009, Renuka P. Jindal observed the bandwidths of onlinecommunication networks rising frombits per second toterabits per second, doubling every 18 months, as predicted by Edholm's law. Jindal identified the following three major underlying factors that have enabled the exponential growth of communication bandwidth.[5]

  • TheMOSFET was invented atBell Labs between 1955 and 1960, after Frosch and Derick discovered and used surface passivation by silicon dioxide to create the first planar transistors, the first in which drain and source were adjacent at the same surface.[6][7][8][9][10] Advances in MOSFET technology (MOS technology) has been the most important contributing factor in the rapid rise of bandwidth in telecommunications networks. ContinuousMOSFET scaling, along with various advances in MOS technology, has enabled bothMoore's law (transistor counts inintegrated circuit chips doubling every two years) and Edholm's law (communication bandwidth doubling every 18 months).[5]
  • Laser lightwave systems – The laser was demonstrated byCharles H. Townes andArthur Leonard Schawlow at Bell Labs in 1960. Laser technology was later adopted in the design of integratedelectronics using MOS technology, leading to the development of lightwave systems around 1980. This has led to exponential growth of bandwidth since the early 1980s.[5]
  • Information theory – Information theory, as enunciated byClaude Shannon at Bell Labs in 1948, provided a theoretical foundation to understand the trade-offs betweensignal-to-noise ratio,bandwidth, and error-freetransmission in the presence ofnoise, intelecommunications technology. In the early 1980s, Renuka Jindal at Bell Labs used information theory to study the noise behaviour of MOS devices, improving their noise performance and resolving issues that limited their receiver sensitivity and data rates. This led to a significant improvement in the noise performance of MOS technology, and contributed to the wide adoption of MOS technology in lightwave and thenwireless terminal applications.[5]

The bandwidths ofwireless networks have been increasing at a faster pace compared to wired networks.[1] This is due to advances in MOSFET wireless technology enabling the development and growth of digital wireless networks. The wide adoption ofRF CMOS (radio frequencyCMOS),power MOSFET andLDMOS (lateral diffused MOS) devices led to the development and proliferation of digital wireless networks by the 1990s, with further advances in MOSFET technology leading to rapidly increasingbandwidth since the 2000s.[11][12][13] Most of the essential elements of wireless networks are built from MOSFETs, including the mobiletransceivers,base station modules,routers,RF power amplifiers,[12]telecommunication circuits,[14]RF circuits, andradio transceivers,[13] in networks such as2G,3G,[11]4G, and5G.[12]

In recent years, another enabling factor in the growth ofwirelesscommunication networks has beeninterference alignment, which was discovered bySyed Ali Jafar at theUniversity of California, Irvine.[15] He established it as a general principle, along with Viveck R. Cadambe, in 2008. They introduced "a mechanism to align an arbitrarily large number of interferers, leading to the surprising conclusion thatwireless networks are not essentially interference limited." This led to the adoption of interference alignment in the design of wireless networks.[16] According toNew York University senior researcher Dr. Paul Horn, this "revolutionized our understanding of the capacity limits of wireless networks" and "demonstrated the astounding result that each user in a wireless network can access half of the spectrum without interference from other users, regardless of how many users are sharing the spectrum."[15]

See also

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References

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  1. ^abcdefCherry, Steven (2004). "Edholm's law of bandwidth".IEEE Spectrum.41 (7):58–60.doi:10.1109/MSPEC.2004.1309810.S2CID 27580722.
  2. ^abEsmailzadeh, Riaz (2007).Broadband Wireless Communications Business: An Introduction to the Costs and Benefits of New Technologies. West Sussex: John Wiley & Sons, Ltd. pp. 10.ISBN 9780470013113.
  3. ^Webb, William (2007).Wireless Communications: The Future. Hoboken, NJ: John Wiley & Sons, Ltd. p. 67.ISBN 9780470033128.
  4. ^abDeng, Wei; Mahmoudi, Reza; van Roermund, Arthur (2012).Time Multiplexed Beam-Forming with Space-Frequency Transformation. New York: Springer. p. 1.ISBN 9781461450450.
  5. ^abcdJindal, Renuka P. (2009)."From millibits to terabits per second and beyond - over 60 years of innovation".2009 2nd International Workshop on Electron Devices and Semiconductor Technology. pp. 1–6.doi:10.1109/EDST.2009.5166093.ISBN 978-1-4244-3831-0.S2CID 25112828.
  6. ^US2802760A, Lincoln, Derick & Frosch, Carl J., "Oxidation of semiconductive surfaces for controlled diffusion", issued 1957-08-13 
  7. ^Frosch, C. J.; Derick, L (1957)."Surface Protection and Selective Masking during Diffusion in Silicon".Journal of the Electrochemical Society.104 (9): 547.doi:10.1149/1.2428650.
  8. ^Lojek, Bo (2007).History of Semiconductor Engineering. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg. p. 321.ISBN 978-3-540-34258-8.
  9. ^Ligenza, J.R.; Spitzer, W.G. (1960)."The mechanisms for silicon oxidation in steam and oxygen".Journal of Physics and Chemistry of Solids.14:131–136.Bibcode:1960JPCS...14..131L.doi:10.1016/0022-3697(60)90219-5.
  10. ^Lojek, Bo (2007).History of Semiconductor Engineering.Springer Science & Business Media. p. 120.ISBN 9783540342588.
  11. ^abBaliga, B. Jayant (2005).Silicon RF Power MOSFETS.World Scientific.ISBN 9789812561213.
  12. ^abcAsif, Saad (2018).5G Mobile Communications: Concepts and Technologies.CRC Press. pp. 128–134.ISBN 9780429881343.
  13. ^abO'Neill, A. (2008). "Asad Abidi Recognized for Work in RF-CMOS".IEEE Solid-State Circuits Society Newsletter.13 (1):57–58.doi:10.1109/N-SSC.2008.4785694.ISSN 1098-4232.
  14. ^Colinge, Jean-Pierre; Greer, James C. (2016).Nanowire Transistors: Physics of Devices and Materials in One Dimension.Cambridge University Press. p. 2.ISBN 9781107052406.
  15. ^ab"2015 National Laureates".Blavatnik Awards for Young Scientists. June 30, 2015. Retrieved22 September 2019.
  16. ^Jafar, Syed A. (2010). "Interference Alignment — A New Look at Signal Dimensions in a Communication Network".Foundations and Trends in Communications and Information Theory.7 (1):1–134.CiteSeerX 10.1.1.707.6314.doi:10.1561/0100000047.

Bibliography

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