Elements of information theory
Elements of information theory
Precoding and Signal Shaping for Digital Transmission
Precoding and Signal Shaping for Digital Transmission
Fundamentals of wireless communication
Fundamentals of wireless communication
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
Analysis and design of symbol mappers for iteratively decoded BICM
IEEE Transactions on Wireless Communications
Interleave division multiple-access
IEEE Transactions on Wireless Communications
Performance of BICM-ID with Signal Space Diversity
IEEE Transactions on Wireless Communications
Unveiling turbo codes: some results on parallel concatenated coding schemes
IEEE Transactions on Information Theory
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
Multilevel codes: theoretical concepts and practical design rules
IEEE Transactions on Information Theory
Low-complexity concatenated two-state TCM schemes with near-capacity performance
IEEE Transactions on Information Theory
Coded modulation using superimposed binary codes
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
A new approach for evaluating clipping distortion in multicarrier systems
IEEE Journal on Selected Areas in Communications
Analysis and optimization of CDMA systems with chip-level interleavers
IEEE Journal on Selected Areas in Communications
Superposition coded modulation and iterative linear MMSE detection
IEEE Journal on Selected Areas in Communications - Special issue on capaciyy approaching codes
Iterative soft compensation for OFDM systems with clipping and superposition coded modulation
IEEE Transactions on Communications
Iterative processing for superposition mapping
Journal of Electrical and Computer Engineering - Special issue on iterative signal processing in communications
Full length article: Performance analysis of superposition coded modulation
Physical Communication
Hi-index | 754.84 |
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.