Elements of information theory
Elements of information theory
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
EURASIP Journal on Applied Signal Processing
Superposition coded modulation with peak-power limitation
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
Interleave division multiple-access
IEEE Transactions on Wireless Communications
Performance of BICM-ID with Signal Space Diversity
IEEE Transactions on Wireless Communications
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
The capacity of low-density parity-check codes under message-passing decoding
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Coded modulation using superimposed binary codes
IEEE Transactions on Information Theory
A Computationally Efficient Multilevel Coding Scheme for ISI Channels
IEEE Transactions on Information Theory
A Quasi-Random Approach to Space–Time Codes
IEEE Transactions on Information Theory
Bandwidth-efficient turbo trellis-coded modulation using punctured component codes
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Evolution analysis of low-cost iterative equalization in coded linear systems with cyclic prefixes
IEEE Journal on Selected Areas in Communications
Iterative soft compensation for OFDM systems with clipping and superposition coded modulation
IEEE Transactions on Communications
Generalized superposition modulation and iterative demodulation: a capacity investigation
Journal of Electrical and Computer Engineering - Special issue on iterative signal processing in communications
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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-to-noise/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/multi-path channels.