Abstract
This paper presents performance analysis of an adaptive peak cancellation method to reduce the high peak-toaverage power ratio (PAPR) for OFDM systems, while keeping the out-of-band (OoB) power leakage as well as an in-band distortion power below the pre-determined level. In this work, the increase of adjacent leakage power ratio (ACLR) and error vector magnitude (EVM) are estimated recursively using the detected peak amplitude. We present analytical framework for OFDM-based systems with theoretical bit error rate (BER) representations and detection of optimum peak threshold based on predefined EVM and ACLR requirements. Moreover, the optimum peak detection threshold is selected based on the oretical design to maintain the predefined distortion level. Thus, their degradations are automatically restricted below the pre-defined levels which correspond to target OoB radiation. We also discuss the practical design of peak-cancellation (PC) signal with target OoB radiation and in-band distortion through optimizing the windowing size of the PC signal. Numerical results show the improvements with respect to both achievable bit error rate (BER) and PAPR with the PC method in eigen-beam space division multiplexing (E-SDM) systems under restriction of OoB power radiation. It can also be seen that the theoretical BER shows good agreements with simulation results.
Highlights
F UTURE wireless communication systems require robust communication over a frequency-selective fading channel [1], such as orthogonal frequency division multiplexing (OFDM) with multi-input multi-output (MIMO) technologies
We evaluate the achievable performance of our proposed method in terms of bit error rate (BER), complementary cumulative distribution function (CCDF) of peak-to-average power ratio (PAPR) as well as computational complexity in pre-coded MIMO-OFDM
To clarify the validity of the proposed framework, we evaluate the performance of MIMO-OFDM system by computer simulation
Summary
F UTURE wireless communication systems require robust communication over a frequency-selective fading channel [1], such as orthogonal frequency division multiplexing (OFDM) with multi-input multi-output (MIMO) technologies. Unlike the peak cancellation in [31], we present an analytical framework for OFDM-based systems with detection of optimum peak threshold (i.e., theoretically achieved PAPR lower bound) based on EVM and ACLR. In this framework, the optimum peak detection threshold is selected based on the analytical results to achieve the pre-defined distortion r level. KAGEYAMA et al.: PERFORMANCE ANALYSIS OF OFDM WITH PEAK CANCELLATION UNDER EVM AND ACLR RESTRICTIONS that signal distortion due to the peak cancellation is a random variable which follows Gaussian distribution whose variance and average power is determined based on the r optimum peak detection threshold. The results show that the proposed method achieves lower peak power and computational complexity compared to the case of repeated C&F under the restriction of OoB power radiation
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