Abstract | ||
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A radio that is capable of adapting to its environment by continuous learning and observation is called Cognitive Radio (CR). The developments in DSP and IC technologies catalyze the evolution of this 4G wireless system which makes reliable communication and efficient usage of radio spectrum. To make cognitive radio a reality changes in physical, MAC and network layers of the conventional system is essentially required. The major physical layer issues include wideband front end, intelligent spectrum sensing and adaptive transmission scheme. In our work, we address the adaptive transmission issue and propose a new method. The method is for generating a time domain pulse in Radio Frequency (RF) range with the required frequency response. The proposed method is compared with existing potential candidates for cognitive radio transmission. |
Year | DOI | Venue |
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2008 | 10.1109/CROWNCOM.2008.4562497 | 2008 3RD INTERNATIONAL CONFERENCE ON COGNITIVE RADIO ORIENTED WIRELESS NETWORKS AND COMMUNICATIONS |
Keywords | Field | DocType |
adaptive waveform, spheroidal function, sharp cut off filter, RF basis function | Remote radio head,Wireless,Telecommunications,Software-defined radio,Computer science,Modulation,Radio frequency,Electronic engineering,Radio spectrum,Radio-frequency engineering,Cognitive radio | Conference |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mathew Manju | 1 | 5 | 1.55 |
A. Benjamin Premkumar | 2 | 91 | 14.80 |
Chiew Tong Lau | 3 | 406 | 35.82 |