NDLI: Erasure Tolerant Coding for Cognitive Radios

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Erasure Tolerant Coding for Cognitive Radios

Content Provider	Semantic Scholar
Author	Kushwaha, Harikeshwar Xing, Yiping Chandramouli, R. Subbalakshmi, K. P.
Copyright Year	2007
Abstract	In recent years, the proliferation of spectrum-based services and devices for usessuch as cellular communication, public safety, wireless LAN, and TV broadcasthave forced the human society to become highly dependent on radio spectrum.This dependency and explosive growth in demand for radio resources is pro-pelled by a host of factors: the economy has moved towards the communication-intensive service sector, the workforce is increasingly mobile, and consumershave been quick to embrace the convenience and increased e–ciency of the mul-titude of wireless devices available today.In the United States, the Federal Communication Commission (FCC) reg-ulates access to spectrum. These regulations have lead to reservation of spec-trum chunks for speciﬂc purposes; for example, 824-849 MHz, 1.85-1.99 GHzfrequency bands are reserved for licensed cellular and personal communicationsservices (PCS) and require a valid FCC license, whereas 902-928 MHz, 2.40-2.50 GHz, 5.15-5.35 GHz, and 5.725-5.825 GHz frequency ranges are reservedas free-for-all unlicensed bands [1]. This strict long-term spectrum allocation asshown in Fig. 1 is space and time invariant and any changes to it happen understrict FCC control.Figure 1: FCC’s Static Spectrum AllocationConsidering the increase in demand for freely available, i.e., unlicensed radiospectrum, it is clear that the necessary radio spectrum will not be available in1
Starting Page	315
Ending Page	331
Page Count	17
File Format	PDF HTM / HTML
DOI	10.1002/9780470515143.ch13
Alternate Webpage(s)	http://www.ece.stevens-tech.edu/~mouli/wileychap.pdf
Alternate Webpage(s)	https://doi.org/10.1002/9780470515143.ch13
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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