Derivation of the Lewenstein-Sanpera Decomposition via Semidefinite Programming
Quantum Information Processing
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Design of optimal space-time codes in TDD/TDMA 4G systems
WSEAS TRANSACTIONS on COMMUNICATIONS
Quasi-maximum-likelihood detector based on geometrical diversification greedy intensification
IEEE Transactions on Communications
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Multiple peer-to-peer communications using a network of relays
IEEE Transactions on Signal Processing
Spectrum sharing in wireless networks via QoS-aware secondary multicast beamforming
IEEE Transactions on Signal Processing
Design of phase codes for radar performance optimization with a similarity constraint
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Efficient implementation of quasi-maximum-likelihood detection based on semidefinite relaxation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Code design for radar STAP via optimization theory
IEEE Transactions on Signal Processing
Robust adaptive beamforming in partly calibrated sparse sensor arrays
IEEE Transactions on Signal Processing
Low-complexity decoding via reduced dimension maximum-likelihood search
IEEE Transactions on Signal Processing
Joint power allocation and relay selection in cooperative networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
PIC-based iterative SDR detector for OFDM systems in doubly-selective fading channels
IEEE Transactions on Wireless Communications
S/MIMO MC-CDMA Heuristic Multiuser Detectors Based on Single-Objective Optimization
Wireless Personal Communications: An International Journal
Brief paper: Convex relaxations for mixed integer predictive control
Automatica (Journal of IFAC)
Cooperative transmission for wireless relay networks using limited feedback
IEEE Transactions on Signal Processing
Probabilistic analysis of the semidefinite relaxation detector in digital communications
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Matrix-lifting semi-definite programming for detection in multiple antenna systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
On the computation of the capacity region of the discrete MAC
IEEE Transactions on Communications
Probabilistic Analysis of Semidefinite Relaxation for Binary Quadratic Minimization
SIAM Journal on Optimization
A continuous method for solving multiuser detection in CDMA
AAIM'05 Proceedings of the First international conference on Algorithmic Applications in Management
Hi-index | 35.73 |
The maximum-likelihood (ML) multiuser detector is well known to exhibit better bit-error-rate (BER) performance than many other multiuser detectors. Unfortunately, ML detection (MLD) is a nondeterministic polynomial-time hard (NP-hard) problem, for which there is no known algorithm that can find the optimal solution with polynomial-time complexity (in the number of users). A polynomial-time approximation method called semi-definite (SD) relaxation is applied to the MLD problem with antipodal data transmission. SD relaxation is an accurate approximation method for certain NP-hard problems. The SD relaxation ML (SDR-ML) detector is efficient in that its complexity is of the order of K3.5, where K is the number of users. We illustrate the potential of the SDR-ML detector by showing that some existing detectors, such as the decorrelator and the linear-minimum-mean-square-error detector, can be interpreted as degenerate forms of the SDR-ML detector. Simulation results indicate that the BER performance of the SDR-ML detector is better than that of these existing detectors and is close to that of the true ML detector, even when the cross-correlations between users are strong or the near-far effect is significant