Spectral efficiency of CDMA downlink cellular networks with matched filter
EURASIP Journal on Wireless Communications and Networking
Random matrix theory and wireless communications
Communications and Information Theory
Spectral efficiency of CDMA downlink cellular networks with matched filter
EURASIP Journal on Wireless Communications and Networking
Using cross-system diversity in heterogeneous networks: Throughput optimization
Performance Evaluation
Sensitivity of multicarrier two-dimensional spreading schemes to synchronization errors
EURASIP Journal on Wireless Communications and Networking
Asymptotic performance of linear receivers in MIMO fading channels
IEEE Transactions on Information Theory
Asymptotic behavior of random vandermonde matrices with entries on the unit circle
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Asymptotic analysis and design of multiuser cooperative DS-CDMA systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
On the system level prediction of joint time frequency spreading systems with carrier phase noise
IEEE Transactions on Communications
Orthogonal matrix precoding for relay networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Iterative narrowband jamming rejection technique for coded OFDMA-CDM systems
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
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Linear precoding consists in multiplying by an N×K matrix a K-dimensional vector obtained by serial-to-parallel conversion of a symbol sequence to be transmitted. In this paper, new tools, borrowed from the so-called free probability theory, are introduced for the purpose of analyzing the performance of minimum mean-square error (MMSE) receivers for certain large random isometric precoded systems on fading channels. The isometric condition represents the case of precoding matrices with orthonormal columns. It is shown in this contribution that the signal-to-interference-plus-noise ratio (SINR) at the equalizer output converges almost surely to a deterministic value depending on the probability distribution of the channel coefficients when N→+∞ and K/N→α≤1. These asymptotic results are used to analyze the impact of orthogonal spreading as well as to optimally balance the redundancy introduced between linear precoding versus classical convolutional coding, while preserving a simple MMSE equalization scheme at the receiver.