Peak-to-average power ratio analysis of LDM signals

Layered Division Multiplexing (LDM) is as a new technical solution for multiplexing different services over the same RF channel. it has already been accepted as a baseline technology for the new generation ATSC 3.0 digital terrestrial television (DTT) standard. In the recent literature there are several comprehensive studies that analyze its performance results and main implementation issues. Nevertheless, there has not yet been addressed its possible impact on the transmitter Peak to Average Ratio (PAPR). The main objective of this paper is to fill that gap and study the PAPR behavior of LDM signals. Therefore, first of all a theoretical study is presented, and afterwards, the obtained conclusions are compared with several practical simulations. What is more, the instantaneous power fluctuations of the multi-layered signals are compared with the single layer (SL) OFDM physical waveform. Finally, several PAPR reduction techniques are briefly presented, and the TR (Tone Reservation) method is applied to an LDM signal.

[1]  Yiyan Wu,et al.  Error propagation in the cancellation stage for a multi-layer signal reception , 2014, 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

[2]  Sung Ik Park,et al.  Channel capacity distribution of Layer-Division-Multiplexing system for next generation digital broadcasting transmission , 2014, 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

[3]  R. O'Neill,et al.  Envelope variations and spectral splatter in clipped multicarrier signals , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[4]  Simon Litsyn.  Peak power control in multicarrier communications , 2007 .

[5]  Sung Ik Park,et al.  Cloud Transmission: System Performance and Application Scenarios , 2014, IEEE Transactions on Broadcasting.

[6]  Yiyan Wu,et al.  Cloud Transmission: A New Spectrum-Reuse Friendly Digital Terrestrial Broadcasting Transmission System , 2012, IEEE Transactions on Broadcasting.

[7]  R.D.J. van Nee,et al.  OFDM codes for peak-to-average power reduction and error correction , 1996 .

[8]  Chung G. Kang,et al.  MIMO-OFDM Wireless Communications with MATLAB , 2010 .

[9]  Sung Ik Park,et al.  Application of DFT-based channel estimation for accurate signal cancellation in Cloud-Txn multi-layer broadcasting system , 2014, 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

[10]  Tao Jiang,et al.  An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals , 2008, IEEE Transactions on Broadcasting.

[11]  Xiaodong Li,et al.  Effects of clipping and filtering on the performance of OFDM , 1998, IEEE Communications Letters.

[12]  John G. Proakis,et al.  Digital Communications , 1983 .

[13]  Amitava Ghosh,et al.  Essentials of Lte and Lte-A , 2011 .

[14]  R. S. Kshetrimayum,et al.  Analytical calculations of CCDF for some common PAPR reduction techniques in OFDM systems , 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

[15]  Xiaodong Li,et al.  Effects of clipping and filtering on the performance of OFDM , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[16]  Hideki Ochiai,et al.  On the distribution of the peak-to-average power ratio in OFDM signals , 2001, IEEE Trans. Commun..

[17]  Simon J. Shepherd,et al.  Asymptotic limits in peak envelope power reduction by redundant coding in orthogonal frequency-division multiplex modulation , 1998, IEEE Trans. Commun..