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Sidelobe Suppression Using Extended Active Interference Cancellation with Self-Interferences Constraint for Cognitive OFDM Systems

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Abstract

Recently, increasing attention is paid to improving the spectrum utilization in cognitive OFDM systems. To enable coexistence between secondary users and primary users, a scheme, called as extended active interference cancellation (EAIC), was proposed for the effective sidelobe suppression of OFDM signals. However, with the EAIC method, the cancellation signals cause self-interferences to OFDM data subcarriers, which seriously degrades the symbol-error-rate performance, especially, when a high order modulation is used. In this paper, we analyze the self-interferences and formulate the minimization of both the total sidelobe power and the self-interferences as a optimization problem, which could be solved by least square method with acceptable complexity for OFDM communication systems nowadays. Simulation results show that the proposed EAIC-IC scheme provides a good sidelobe suppression performance of about 38.0 dB with signal-to-noise ratio loss less than 0.10 dB at symbol-error-rate of 10 − 3 when 64 QAM modulation is employed. Moreover, the proposed EAIC-IC scheme can provide an arbitrary tradeoff between the sidelobe suppression and the symbol-error-rate performance via adjusting the constraint parameter.

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Correspondence to Tao Jiang.

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This work was supported in part by the National Natural Science Foundation of China (No. 60702039), the International S&T Cooperation Program of China (No. 2008DFA12100), and the National High Technology Development 863 Program of China under Grant 2009AA011803.

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Wang, Z., Qu, D., Jiang, T. et al. Sidelobe Suppression Using Extended Active Interference Cancellation with Self-Interferences Constraint for Cognitive OFDM Systems. Mobile Netw Appl 16, 544–552 (2011). https://doi.org/10.1007/s11036-010-0242-x

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