Spectral Precoding for Out-of-Band Power Reduction Under Condition Number Constraint in OFDM-Based Systems
نویسندگان
چکیده
Due to the flexibility in spectrum shaping, orthogonal frequency division multiplexing (OFDM) is a promising technique for dynamic spectrum access. However, the out-of-band (OOB) power radiation of OFDM introduces significant interference to the adjacent users. This problem is serious in cognitive radio (CR) networks, which enables the secondary system to access the instantaneous spectrum hole. Existing methods either do not effectively reduce the OOB power leakage or introduce significant biterror-rate (BER) performance deterioration in the receiver. In this paper, a joint spectral precoding (JSP) scheme is developed for OOB power reduction by the matrix operations of orthogonal projection and singular value decomposition (SVD). We also propose an algorithm to design the precoding matrix under receive performance constraint, which is converted to matrix condition number constraint in practice. This method well achieves the desirable spectrum envelope and receive performance by selecting zero-forcing frequencies. Simulation results show that the OOB power decreases significantly by the proposed scheme under condition number constraint. Keyword: Spectral precoding, Out-of-band, Orthogonal frequency division multiplexing (OFDM), Sidelobe suppression, Condition number constraint.
منابع مشابه
An Adaptive Precoder for Out-of-band Power Reduction in OFDM- Based Cognitive Radio System
Out-of-band (OOB) power emission is a conventional issue in orthogonal frequency division multiplexing (OFDM) system. The spectral leakage results in interference to licensed users (LU) in OFDM-based cognitive radio (CR) system. In this article, an adaptive precoding scheme based on the adaptive orthogonal projection matrix is proposed for OOB power suppression. Low complexity is the main featu...
متن کاملA Novel Transmitter Architecture for Spectrally-Precoded OFDM
Frequency nulling spectral precoding is an approach that suppresses the out-of-band emission in OFDM systems. In this paper, we discuss the transmitter architecture of the spectrally precoded OFDM systems. We design a novel precoder that matches the practical implementation of the OFDM modulator. We show that spectral precoding can relax the analog low pass filtering requirements of the OFDM sy...
متن کاملOut-of-band emission suppression techniques based on a generalized OFDM framework
Orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems suffer from the large out-of-band emission (OOBE) that may interfere with other users. Since most existing OFDM OOBE suppression schemes are derived on the base of an original OFDM system without any other scheme, we first propose a generalized OFDM framework that is capable of describing these schemes no matte...
متن کاملOut-of-Band Emission Reduction Technique for OFDM and MC-CDMA Systems
In this paper, we introduce a method for out-of-band power reduction of multicarrier communication systems. Recent years MC systems possess a dominated role in wireless access due to ability to achieve high data rates and simultaneously high robustness to multipath and fading. Despite all advantages, MC transmission produces an essential out-of-band interference. The OOB radiation leads to the ...
متن کاملLow-Complexity PAPR Reduction Scheme Combining Multi-Band Hadamard Precoding and Clipping in OFDM-Based Optical Communications
In this paper, we propose a low-complexity peak-to-average power ratio (PAPR) reduction scheme that combines both multi-band (MB)-Hadamard precoding and clipping for the optical orthogonal frequency division multiplexing (OFDM) systems. Approximations of PAPR distribution for baseband OFDM signals are analyzed and the effective signal-to-noise ratio (SNR) of the whole transmission link consider...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Wireless Personal Communications
دوره 95 شماره
صفحات -
تاریخ انتشار 2017