Cubic Metric Reduction in OFDM Systems by Using Convex Optimization
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Cubic Metric Reduction in OFDM Systems by Using Convex Optimization
IEEE TENCON 2013——Orthogonal frequency division multiplexing (OFDM) has been adopted by several communication standards. A major disadvantage of OFDM is the large envelope fluctuations which cause the degradation of system performance. Peak-to-average power ratio (PAPR) is a well-known measure for the envelope fluctuations. However, recently, another metric, known as cubic metric (CM), has been attracting increasing attention since it can predict the power de-rating of power amplifier more accurately. In this talk, our analysis shows that minimizing CM, subject to the in-band distortion and out-of-band radiation, can be formulated as a convex optimization problem. By solving this convex problem, the minimum CM satisfying the given requirements can be obtained. Simulation results verify the effectiveness of the proposed method.
嘉 宾 ：
Haichao Hu
视频年代：2013
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