Fundamentals of digital image processing
Fundamentals of digital image processing
Cognitive radios will adapt to users
IEEE Intelligent Systems
Narrowband interference rejection in OFDM via carrier interferometry spreading codes
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Challenges in the migration to 4G mobile systems
IEEE Communications Magazine
Perspectives for present and future CDMA-based communications systems
IEEE Communications Magazine
A ubiquitous mobile communication architecture for next-generation heterogeneous wireless systems
IEEE Communications Magazine
The software radio architecture
IEEE Communications Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Communications
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This paper applies a recently introduced general analytic framework for spectrally modulated and spectrally encoded (SMSE) signals to carrier interferometry (CI) signals. The SMSE framework mathematically incorporates the waveform adaptivity and diversity found in SMSE signals. Future fourth generation (4G) radios are likely to operate using cognitive principles whereby the system adapts to changing traffic loads, interfering signals, spectrum availability, and channel conditions. Because 4G architectures are contemplating the use of SMSE techniques to enable cognitive communications, a general analytic framework was recently introduced in which SMSE signals can be derived, analyzed, and implemented. This paper adopts this concise mathematical model and applies it to CI signals, including those that couple CI coding techniques with orthogonal frequency division multiplexing (OFDM), coded OFDM, or multi-carrier code division multiple access (MC-CDMA). As shown herein, the model may be implementable using adaptive software defined radio (SDR) techniques.