Detection of signals in correlated interference using a predictive VA
Signal Processing
Relaying protocols for two colocated users
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Power and modulo loss tradeoff with expanded soft demapper for LDPC coded GMD-THP MIMO systems
IEEE Transactions on Wireless Communications
Constrained capacities for faster-than-Nyquist signaling
IEEE Transactions on Information Theory
Channel capacity and modeling of optical fiber communications
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Distributed MIMO systems for nomadic applications over a symmetric interference channel
IEEE Transactions on Information Theory
Improved vector perturbation with modulo loss reduction for multiuser downlink systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Asymptotic optimality of binary faster-than-nyquist signaling
IEEE Communications Letters
Modulo loss reduction for vector perturbation systems
IEEE Transactions on Communications
DNCOCO'10 Proceedings of the 9th WSEAS international conference on Data networks, communications, computers
Hi-index | 754.96 |
The discrete-time additive Gaussian intersymbol interference (ISI) channel with i.i.d. (not necessarily Gaussian) input signals is considered. Several new and old lower bounds on the capacity are derived in a unified manner by assuming different front-end receiver filters, in particular the sampled whitened matched filter (SWMF) and the minimum mean-squared error-decision feedback equalizer (MMSE-DFE) filter. The features of the bounds are demonstrated and compared in several examples with binary and quaternary input signals. It is also shown that the effect of an ideal post-cursor or tail cancellation, in an information-preserving context, depends primarily on the front-end filter. While, as is well known, ideal post-cursor cancellation at the output of the SWMF decreases the information, the opposite trend is seen when an MMSE-DFE front filter is considered. This observation reflects the basic theoretical obstacles in precoding, i.e., ideal post-cursor cancellation in the presence of a pre-cursor. It is used to assess the inherent loss (in terms of information rates as compared to the rates achievable with the hypothetical ideal post-cursor cancellation) associated with any post-cursor cancellation technique such as precoding, DFE, or other variants, when operating in synergy with the MMSE-DFE front-end filter. The effect of the front-end filter on an ideally interleaved, precoded coded-modulation system is also addressed