EURASIP Journal on Applied Signal Processing
Partial transmit sequences for peak-to-average power ratio reduction in multiantenna OFDM
EURASIP Journal on Wireless Communications and Networking - Multicarrier Systems
Peak-to-average power ratio reduction technique for MIMO/OFDM systems
International Journal of Mobile Communications
IEEE Transactions on Communications
PreQuEst: a scalable and proactive quality enrichment for presence services
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Optimal subcarrier power allocation for OFDM in peak-power-limited channels
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Constant envelope OFDM in multipath Rayleigh fading channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Diversity-enabled and power-efficient transceiver designs for peak-power-limited SIMO-OFDM systems
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
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The performance of the orthogonal frequency-division-multiplexing (OFDM) system over the strictly peak power and band-limited channel is analyzed in terms of the required input back-off, bit-error rate (BER), and channel capacity on the assumption that the power amplifier is perfectly linearized. The peak-power limitation is implemented by linearly scaling the band-limited OFDM signal such that the maximum peak power of each OFDM symbol is always below the saturation level of the amplifier. The theoretical performance analysis requires the knowledge of the distribution of the peak power normalized by the symbol-wise (local) average power, referred to as symbol-wise peak-to-average power ratio (PAR) in the paper, and we also develop a method to numerically calculate its statistical distribution. The analysis of BER performance suggests that the linear scaling causes practically negligible degradation. Furthermore, the benefit of additional application of simple PAR reduction schemes, such as symbol selection and deliberate clipping and filtering, is also examined.