Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Faculty of Engineering and Information Sciences - Papers: Part A

2009

Superposition

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Superposition Coded Modulation With Peak-Power Limitation, Jun Tong, Li Ping, Xiao Ma Jan 2009

Superposition Coded Modulation With Peak-Power Limitation, Jun Tong, Li Ping, Xiao Ma

Faculty of Engineering and Information Sciences - Papers: Part A

We apply clipping to superposition coded modulation (SCM) systems to reduce the peak-to-average power ratio (PAPR) of the transmitted signal. The impact on performance is investigated by evaluating the mutual information driven by the induced peak-power-limited input signals. It is shown that the rate loss is marginal for moderate clipping thresholds if optimal encoding/decoding is used. This fact is confirmed in examples where capacityapproaching component codes are used together with the maximum a posteriori probability (MAP) detection. In order to reduce the detection complexity of SCM with a large number of layers, we develop a suboptimal soft compensation (SC) method …


Superposition Coded Modulation And Iterative Linear Mmse Detection, Li Ping, Jun Tong, Xiaojun Yuan, Qinghua Guo Jan 2009

Superposition Coded Modulation And Iterative Linear Mmse Detection, Li Ping, Jun Tong, Xiaojun Yuan, Qinghua Guo

Faculty of Engineering and Information Sciences - Papers: Part A

We study superposition coded modulation (SCM) with iterative linear minimum-mean-square-error (LMMSE) detection. We show that SCM offers an attractive solution for highly complicated transmission environments with severe interference. We analyze the impact of signaling schemes on the performance of iterative LMMSE detection. We prove that among all possible signaling methods, SCM maximizes the output signal-tonoise/interference ratio (SNIR) in the LMMSE estimates during iterative detection. Numerical examples are used to demonstrate that SCM outperforms other signaling methods when iterative LMMSE detection is applied to multi-user/multi-antenna/multipath channels. © 2009 IEEE.