Joint downlink power control and multicode receivers for downlink transmissions in high speed UMTS
EURASIP Journal on Wireless Communications and Networking
Vector precoding in wireless communications: a replica symmetric analysis
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
High performance cooperative transmission protocols based on multiuser detection and network coding
IEEE Transactions on Wireless Communications
A variational inference framework for soft-in soft-out detection in multiple-access channels
IEEE Transactions on Information Theory
Bounds on the sum capacity of synchronous binary CDMA channels
IEEE Transactions on Information Theory
Iterative channel and data estimation: framework and analysis via replica method
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Practical signaling with vanishing pilot-energy for large noncoherent block-fading MIMO channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
A new signaling scheme for large DS-CDMA channels without CSI
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
On asymptotic performance of iterative channel and data estimation in large DS-CDMA systems
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
On convex vector precoding for multiuser MIMO broadcast channels
IEEE Transactions on Signal Processing
Optimization of sequences in CDMA systems: A statistical-mechanics approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
Asymptotic analysis of outage region in CDMA MIMO systems
IEEE Transactions on Information Theory
A single-letter characterization of optimal noisy compressed sensing
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
How much training is needed for iterative multiuser detection and decoding
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Asynchronous CDMA systems with random spreading-part I: fundamental limits
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Statistical physics of signal estimation in Gaussian noise: theory and examples of phase transitions
IEEE Transactions on Information Theory
Asymptotic mutual information for Rician MIMO-MA channels with arbitrary inputs: a replica analysis
IEEE Transactions on Communications
Tight bounds on the capacity of binary input random CDMA systems
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Performance analysis of MIMO cellular network with channel estimation errors
IEEE Transactions on Wireless Communications
Probabilistic Analysis of Semidefinite Relaxation for Binary Quadratic Minimization
SIAM Journal on Optimization
Wireless Personal Communications: An International Journal
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This paper studies randomly spread code-division multiple access (CDMA) and multiuser detection in the large-system limit using the replica method developed in statistical physics. Arbitrary input distributions and flat fading are considered. A generic multiuser detector in the form of the posterior mean estimator is applied before single-user decoding. The generic detector can be particularized to the matched filter, decorrelator, linear minimum mean-square error (MMSE) detector, the jointly or the individually optimal detector, and others. It is found that the detection output for each user, although in general asymptotically non-Gaussian conditioned on the transmitted symbol, converges as the number of users go to infinity to a deterministic function of a "hidden" Gaussian statistic independent of the interferers. Thus, the multiuser channel can be decoupled: Each user experiences an equivalent single-user Gaussian channel, whose signal-to-noise ratio (SNR) suffers a degradation due to the multiple-access interference (MAI). The uncoded error performance (e.g., symbol error rate) and the mutual information can then be fully characterized using the degradation factor, also known as the multiuser efficiency, which can be obtained by solving a pair of coupled fixed-point equations identified in this paper. Based on a general linear vector channel model, the results are also applicable to multiple-input multiple-output (MIMO) channels such as in multiantenna systems.