Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Iterative solution methods
Trellis and Turbo Coding
Analysis of the dynamics of iterative interference cancellation in iterative decoding
Problems of Information Transmission
Coordinated Multiuser Communications
Coordinated Multiuser Communications
Transmitter layering for multiuser MIMO systems
EURASIP Journal on Wireless Communications and Networking - Theory and Applications in Multiuser/Multiterminal Communications
Interleave division multiple-access
IEEE Transactions on Wireless Communications
Analysis and Optimization of Interleave-Division Multiple-Access Communication Systems
IEEE Transactions on Wireless Communications
Spectral efficiency of CDMA with random spreading
IEEE Transactions on Information Theory
Linear multiuser receivers: effective interference, effective bandwidth and user capacity
IEEE Transactions on Information Theory
A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors
IEEE Transactions on Information Theory
Maximizing the spectral efficiency of coded CDMA under successive decoding
IEEE Transactions on Information Theory
Iterative multiuser joint decoding: optimal power allocation and low-complexity implementation
IEEE Transactions on Information Theory
Coded modulation using superimposed binary codes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Optimal Power/Rate Allocation and Code Selection for Iterative Joint Detection of Coded Random CDMA
IEEE Transactions on Information Theory
Iterative detection and decoding with an improved V-BLAST for MIMO-OFDM systems
IEEE Journal on Selected Areas in Communications
Transmitter layering for multiuser MIMO systems
EURASIP Journal on Wireless Communications and Networking - Theory and Applications in Multiuser/Multiterminal Communications
ICC'09 Proceedings of the 2009 IEEE international conference 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
Hi-index | 754.85 |
Iterative processing for linear matrix channels, aka turbo equalization, turbo demodulation, or turbo code-division multiple access (CDMA), has traditionally been addressed as the concatenation of conventional error control codes with the linear (matrix) channel. However, in several situations, such as CDMA, multiple-input-multiple-output (MIMO) channels, orthogonal frequency-division multiplexing (OFDM), and intersymbol-interference (ISI) channels, the channel itself either contains inherent signal redundancy or such redundancy can readily be introduced at the transmitter. For such systems, iterative demodulation of the linear channel exploiting this redundancy using simple iterative cancellation demodulators, followed by conventional feedforward error control decoding, provides a low-complexity, but extremely efficient decoding alternative. This two-stage demodulator/decoder outperforms more complex turbo CDMA methods for equal power modes (users). Furthermore, it is shown that arbitrary numbers of modes can be supported if an unequal power distribution is adopted. These power distributions are nested, which means that additional modes can be added without disturbing an existing mode population. The main result shows that these nested power distributions enable the two-stage receiver to approach the Shannon capacity of the channel to within less than one bit for any signal-to-noise ratio (SNR).