DocumentCode :
1317810
Title :
Spectrum Shaping: A New Perspective on Cognitive Radio—Part II: Coexistence with Uncoded Legacy Transmission
Author :
Zhang, Wenyi ; Mitra, Urbashi
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Souther California, Los Angeles, CA, USA
Volume :
58
Issue :
10
fYear :
2010
fDate :
10/1/2010 12:00:00 AM
Firstpage :
2971
Lastpage :
2983
Abstract :
Spectrum shaping is examined for cognitive users to enable graceful coexistence with pre-existing legacy services. In Part I of this two-part paper series, the case of a coded legacy system was presented. In Part II, the case of an uncoded, or analog, legacy system is treated. Optimal power spectral densities are characterized for the cognitive user so that the analog legacy user achieves a prescribed distortion constraint as measured by a mean-squared estimation error. As in Part I, it is demonstrated that through spectrum shaping, the cognitive user can transmit at its full available power and thereby achieve logarithmic growth of the cognitive transmission rate. Necessary conditions for the optimality of the spectrum shaping problem are investigated and under special conditions, low-complexity optimization algorithms are developed. A low-complexity sub-optimal solution corresponding to an on-off cognitive power spectral density is analyzed, and shown to be sufficient for attaining the logarithmic growth of cognitive transmission rates. To summarize this two-part paper, a series of general considerations for system implementation of spectrum shaping are discussed.
Keywords :
cognitive radio; mean square error methods; analog legacy system; cognitive radio; cognitive users; logarithmic growth; low-complexity optimization algorithms; low-complexity suboptimal solution; mean square estimation error; optimal power spectral densities; spectrum shaping; uncoded legacy transmission; Distortion measurement; Estimation; Noise; Optimization; Receivers; Stochastic processes; Transmitters; Cognitive radio; legacy system; mean-squared error; power spectral density; prelog coefficient; spectrum shaping; uncoded transmission;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2010.083110.090290
Filename :
5567188
Link To Document :
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