Interference tables: a useful model for interference analysis in asynchronous multicarrier transmission

In this paper, we investigate the impact of timing asynchronism on the performance of multicarrier techniques in a spectrum coexistence context. Two multicarrier schemes are considered: cyclic prefix-based orthogonal frequency division multiplexing (CP-OFDM) with a rectangular pulse shape and filter bank-based multicarrier (FBMC) with physical layer for dynamic spectrum access and cognitive radio (PHYDYAS) and isotropic orthogonal transform algorithm (IOTA) waveforms. First, we present the general concept of the so-called power spectral density (PSD)-based interference tables which are commonly used for multicarrier interference characterization in spectrum sharing context. After highlighting the limits of this approach, we propose a new family of interference tables called ‘instantaneous interference tables’. The proposed tables give the interference power caused by a given interfering subcarrier on a victim one, not only as a function of the spectral distance separating both subcarriers but also with respect to the timing misalignment between the subcarrier holders. In contrast to the PSD-based interference tables, the accuracy of the proposed tables has been validated through different simulation results. Furthermore, due to the better frequency localization of both PHYDYAS and IOTA waveforms, FBMC technique is demonstrated to be more robust to timing asynchronism compared to OFDM one. Such a result makes FBMC a potential candidate for the physical layer of future cognitive radio systems.

[1]  Behrouz Farhang-Boroujeny,et al.  Complexity and Performance Comparison of Filter Bank Multicarrier and OFDM in Uplink of Multicarrier Multiple Access Networks , 2011, IEEE Transactions on Signal Processing.

[2]  Pierre Siohan,et al.  Cosine-modulated filterbanks based on extended Gaussian functions , 2000, IEEE Trans. Signal Process..

[3]  Chrislin Lele,et al.  Ofdm/oqam : méthodes d'estimation de canal, et combinaison avec l'accès multiple CDMA ou les systèmes multi-antennes , 2008 .

[4]  Daniel Roviras,et al.  Multicarrier Interference Evaluation with Jointly Non-Linear Amplification and Timing Errors , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[5]  Maurice Bellanger,et al.  Physical layer for future broadband radio systems , 2010, 2010 IEEE Radio and Wireless Symposium (RWS).

[6]  Haijian Zhang,et al.  Spectral efficiency comparison between OFDM-OQAM- and OFDM-based CR networks , 2009 .

[7]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[8]  Rostom Zakaria,et al.  A Novel Filter-Bank Multicarrier Scheme to Mitigate the Intrinsic Interference: Application to MIMO Systems , 2012, IEEE Transactions on Wireless Communications.

[9]  Petar Popovski,et al.  Wireless Communication Systems (ISWCS), 2012 International Symposium on , 2012 .

[10]  Maurice G. Bellanger,et al.  Specification and design of a prototype filter for filter bank based multicarrier transmission , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[11]  Hong Sun,et al.  Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks , 2010, EURASIP J. Adv. Signal Process..

[12]  Daniel Roviras,et al.  On the impact of the prototype filter on FBMC sensitivity to time asynchronism , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[13]  T. Fusco,et al.  Sensitivity of multi-user filter-bank multicarrier systems to synchronization errors , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[14]  Haijian Zhang,et al.  Spectral efficiency comparison between OFDM/OQAM- and OFDM-based CR networks , 2009, Wirel. Commun. Mob. Comput..

[15]  Faouzi Bader,et al.  An uplink resource allocation algorithm for OFDM and FBMC based cognitive radio systems , 2010, 2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[16]  Luc Deneire,et al.  Beating the wireless channel , 2002 .

[17]  B. Floch,et al.  Coded orthogonal frequency division multiplex , 1995 .

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

[19]  B. Saltzberg,et al.  Performance of an Efficient Parallel Data Transmission System , 1967, IEEE Transactions on Communication Technology.

[20]  Marc Engels,et al.  Wireless OFDM Systems , 2002 .

[21]  Helmut Bölcskei,et al.  Orthogonal Frequency Division Multiplexing Based on Offset QAM , 2003 .

[22]  Kamran Etemad,et al.  WiMAX Technology and Network Evolution , 2010 .

[23]  D. Rh International symposium on pain. , 1973 .

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

[25]  Claude Berrou,et al.  Coded orthogonal frequency division multiplex [TV broadcasting] , 1995, Proc. IEEE.

[26]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[27]  Philippe Tanguy,et al.  An Analysis of the EIC Method for OFDM/OQAM Systems , 2009, J. Commun..

[28]  Josef A. Nossek,et al.  Out-Of-Band Radiation in Multicarrier Systems: A Comparison , 2007, MCSS.

[29]  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).