Superposition Coded Modulation With Peak-Power Limitation

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 ra...

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Vydáno v:	IEEE transactions on information theory Ročník 55; číslo 6; s. 2562 - 2576
Hlavní autoři:	Tong, Jun, Ping, Li, Ma, Xiao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.06.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Additive white noise Algorithms Applied sciences AWGN Bit error rate Capacity Channels Clipping Codes Coding, codes Computer simulation Data transmission Decoding Exact sciences and technology Fading Gaussian Information processing Information theory Information, signal and communications theory Iterative algorithms Iterative decoding Iterative methods Modulation Modulation coding Modulation, demodulation Mutual information Optimization Peak to average power ratio peak-to-average power ratio (PAPR) Signal and communications theory Simulation soft compensation superposition coded modulation (SCM) Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Fading channels Performance evaluation clipping AWGN Input signal Bit error rate Peak to average power ratio Iterative method soft compensation Algorithm Iterative decoding AWGN channels superposition coded modulation (SCM) Posterior probability Simulation Coding Capacity Modulation A posteriori estimation Masking peak-to-average power ratio (PAPR) Peak power Mutual information High rate transmission
ISSN:	0018-9448, 1557-9654
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Popis
Shrnutí:	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 capacity-approaching 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 that is combined with soft-input soft-output (SISO) decoding algorithms in an iterative manner. A variety of simulation results for additive white Gaussian noise (AWGN) and fading channels are presented. It is shown that with the proposed method, the effect of clipping can be efficiently compensated and a good tradeoff between PAPR and bit-error rate (BER) can be achieved. Comparisons with other coded modulation schemes demonstrate that SCM offers significant advantages for high-rate transmissions over fading channels.
Bibliografie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2
ISSN:	0018-9448 1557-9654
DOI:	10.1109/TIT.2009.2018224