Podrobná bibliografie
| Název: |
PAPR reduction using constrained convex optimization for vector OFDM. |
| Autoři: |
Jeemon, Basil K., Shahana, T. K. |
| Zdroj: |
Annals of Telecommunications; Feb2023, Vol. 78 Issue 1/2, p91-99, 9p |
| Abstrakt: |
Vector OFDM (VOFDM) is a coding technique that can mitigate the effect of spectral nulls in the channel by converting the single–input–single–output (SISO) channel to a multiple-input-multiple-output (MIMO) channel. This technique acts as a bridge between the conventional orthogonal frequency division multiplexing (OFDM) and single carrier frequency domain multiple access (SC-FDMA). This paper proposes a method to reduce peak-to-average power ratio (PAPR) in vector OFDM systems using constrained convex optimization. The optimization is performed by formulating the PAPR reduction problem as a convex function and then imposing the power and signal-space constraints on it. This paper presents the methodology, complexity analysis, illustrative diagrams, and simulation results of the proposed method. The proposed method shows an improvement in PAPR reduction by 54.59%, whereas the popular probabilistic techniques like selective mapping (SLM) and partial transmit sequence (PTS) give a reduction of 44% and 41.29% respectively. This method also gives flexibility to dedicate the vector blocks with low diversity gain for PAPR reduction. As indicated by the complementary cumulative density function (CCDF) plots, the proposed method offers a 70% PAPR reduction when 5 low performing vector blocks are dedicated for PAPR reduction. [ABSTRACT FROM AUTHOR] |
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| Databáze: |
Complementary Index |