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Spectrally Modulated Spectrally Encoded Framework Based Cognitive Radio in Mobile Environment
Li, Xue

2013, Doctor of Philosophy (PhD), Wright State University, Engineering PhD.
Radio spectrum has become a precious resource, and it has long been the dream
of wireless communication engineers to maximize the utilization of the radio spectrum. Dynamic Spectrum Access (DSA) and Cognitive Radio (CR) have been considered promising to enhance the efficiency and utilization of the spectrum. Since some of the spectrum bands are occupied by primary users (PUs), the available spectrum for secondary users (SUs) are non-contiguous, and multi-carrier transmission technologies become the natural solution to occupy those non-contiguous bands.
Non-contiguous multi-carrier based modulations, such as NC-OFDM (non-contiguous Orthogonal Frequency Division Multiplexing), NC-MC-CDMA (non-contiguous multi-carrier code division multiple access) and NC-SC-OFDM (non-contiguous single carrier OFDM), allow the SUs to utilize the available spectrum. Spectrally Modulated Spectrally Encoded (SMSE) framework offers a general framework to generate multi-carrier based waveform for CR. However, it is well known that all multi-carrier transmission technologies suffer significant performance degradation resulting from inter-carrier interference (ICI) in high mobility environments. Current research work in cognitive radio has not sufficiently considered and addressed this issue yet. Hence, it is highly desired to study the effect of mobility on CR communication systems and how to improve the performance through affordable low-complexity signal processing techniques.

In this dissertation, we analyze the inter-carrier interference for SMSE based multi-carrier transmissions in CR, and propose multiple ICI mitigation techniques and carrier frequency offset (CFO) estimator. Specifically, (1) an ICI self-cancellation algorithm is adapted to the MC-CDMA system by designing new spreading codes to enable the system with the capability to reduce the ICI; (2) a blind ICI cancellation technique named Total ICI Cancellation is proposed to perfectly remove the ICI effect for OFDM and MC-CDMA systems and provide the performance approximately identical to that of the systems without ICI; (3) a novel modulation scheme, called Magnitude Keyed Modulation (MKM), is proposed to combine with SC-OFDM system and provide ICI immunity feature so that the system performance is not affected by the mobility or carrier frequency offset; (4) a blind carrier frequency offset estimation algorithm is proposed to accurately estimate the CFO; (5) finally, compared to traditional ICI analysis and cancellation techniques with assumption of constant carrier frequency offset among all the subcarriers, subcarrier varying CFO scenario is considered for the wideband multi-carrier transmission and non-contiguous multi-carrier transmission for CR, and an ICI total cancellation algorithm is proposed for the multi-carrier system with subcarrier varying CFOs to entirely remove the ICI.
Zhiqiang Wu, Ph.D. (Advisor)
Kefu Xue, Ph.D. (Committee Member)
Bin Wang, Ph.D. (Committee Member)
Xiaodong Zhang , Ph.D. (Committee Member)
Michael Temple, Ph.D. (Committee Member)
132 p.

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Li, X. (2013). Spectrally Modulated Spectrally Encoded Framework Based Cognitive Radio in Mobile Environment. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Li, Xue. "Spectrally Modulated Spectrally Encoded Framework Based Cognitive Radio in Mobile Environment." Electronic Thesis or Dissertation. Wright State University, 2013. OhioLINK Electronic Theses and Dissertations Center. 31 Aug 2015.

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Li, Xue "Spectrally Modulated Spectrally Encoded Framework Based Cognitive Radio in Mobile Environment." Electronic Thesis or Dissertation. Wright State University, 2013. https://etd.ohiolink.edu/

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