A taxonomy of parallel sorting
ACM Computing Surveys (CSUR)
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Wireless Networks: Multiuser Detection in Cross-Layer Design (Information Technology: Transmission, Processing and Storage)
An efficient square-root algorithm for BLAST
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Improved multiuser detectors employing genetic algorithms in a space-time block coded system
EURASIP Journal on Applied Signal Processing
On the complexity of sphere decoding in digital communications
IEEE Transactions on Signal Processing
On the sphere-decoding algorithm I. Expected complexity
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing - Part I
A class of nonorthogonal rate-one space-time block codes with controlled interference
IEEE Transactions on Wireless Communications
Multiuser detection in CDMA - a comparison of relaxations, exact, and heuristic search methods
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
High-rate codes that are linear in space and time
IEEE Transactions on Information Theory
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In this paper, we present an iterative algorithm for detecting symbols at the receiver side in a Multi-Device (MD) STBC-MIMO System. We find that this algorithm has good performance especially at a low SNR region in rank-deficient MIMO systems. A multi-device system is a good example of a rank deficient system because the total number of transmit antennas are greater than the number of receive antennas. The detection problem is known to be NP-Hard. Exhaustive search for finding an optimal detection (Maximum Likelihood (ML) detection) has a computational complexity that increases exponentially with the number of mobile devices, transmit antennas per mobile device, and the number of bits per symbols. We apply Estimation of Distribution Algorithm (EDA) to detecting symbols in a rank-deficient MD-STBC-MIMO system. The proposed EDA detector finds a nearly optimal solution in real time and also requires very low amount of computation as compared to the ML (exhaustive search) and Sphere Decoder (SD). The effectiveness of EDA is verified through simulation results.