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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Bibliographic Details
Published in:IEEE transactions on information theory Vol. 55; no. 6; pp. 2562 - 2576
Main Authors: Tong, Jun, Ping, Li, Ma, Xiao
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.06.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Description
Summary: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.
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ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2009.2018224