Shaping Spectral Leakage: A Novel Low-Complexity Transceiver Architecture for Cognitive Radio

In this article, we propose a transceiver architecture based on orthogonal frequency-division multiplexing (OFDM) with transmit and receive windowing to reduce spectral leakage and reject adjacent channel interference (ACI). The transceiver enables the utilization of unused subbands in a fragmented spectrum with low complexity, which may be used in cognitive radio systems. We first show a multicarrier modulation (MCM) framework and the implementation of transmit and receive windowing. The intersymbol interference (ISI) resulting from receive windowing with a multipath channel is illustrated, and the performance of the presented transceiver architecture is evaluated and compared with several other MCM techniques. The results show that windowing offers a simple transceiver architecture with acceptable performance and is well suited for cognitive radio scenarios with noncontiguous spectrum fragments. Its performance can be further improved by using more advanced receivers.

[1]  Ismail Güvenç,et al.  A Survey on Prototype Filter Design for Filter Bank Based Multicarrier Communications , 2012, ArXiv.

[2]  Arthur J. Redfern Receiver window design for multicarrier communication systems , 2002, IEEE J. Sel. Areas Commun..

[3]  Jean Armstrong,et al.  Analysis of new and existing methods of reducing intercarrier interference due to carrier frequency offset in OFDM , 1999, IEEE Trans. Commun..

[4]  Dominique Noguet,et al.  Advances in opportunistic radio technologies for TVWS , 2011, EURASIP J. Wirel. Commun. Netw..

[5]  Vinko Erceg,et al.  Channel Models for Fixed Wireless Applications , 2001 .

[6]  F.K. Jondral,et al.  Mutual interference in OFDM-based spectrum pooling systems , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[7]  Behrouz Farhang-Boroujeny,et al.  OFDM Versus Filter Bank Multicarrier , 2011, IEEE Signal Processing Magazine.

[8]  C.-C. Li,et al.  A filterbank approach to window designs for multicarrier systems , 2007, IEEE Circuits and Systems Magazine.

[9]  Linda Doyle,et al.  OFDM Pulse-Shaped Waveforms for Dynamic Spectrum Access Networks , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[10]  C. Muschallik,et al.  Improving an OFDM reception using an adaptive Nyquist windowing , 1996, 1996. Digest of Technical Papers., International Conference on Consumer Electronics.

[11]  Rui Yang,et al.  Comparisons of filter bank multicarrier systems , 2013, 2013 IEEE Long Island Systems, Applications and Technology Conference (LISAT).

[12]  K. J. Ray Liu,et al.  Advances in cognitive radio networks: A survey , 2011, IEEE Journal of Selected Topics in Signal Processing.

[13]  Samir Kapoor,et al.  Interference suppression in DMT receivers using windowing , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[14]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[15]  Norman C. Beaulieu,et al.  On the effects of receiver windowing on OFDM performance in the presence of carrier frequency offset , 2007, IEEE Transactions on Wireless Communications.

[16]  S. H. Muller-Weinfurtner Optimum Nyquist windowing in OFDM receivers , 2001 .