WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Bionic evolution based intrusion detection system
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Research on immune pathology in artificial immune system
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Low-complexity decoding via reduced dimension maximum-likelihood search
IEEE Transactions on Signal Processing
Key management scheme with bionic optimization
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Proxy signature scheme based on bionic evolution
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Bionic evolution based electronic cash scheme
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
An efficient parallel algorithm with partial decision feedback for near-optimal MIMO detection
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Near-ML detection over a reduced dimension hypersphere
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Parallel detection algorithm with selective interference cancellation for V-BLAST systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Efficient Detection Algorithms for MIMO Communication Systems
Journal of Signal Processing Systems
| Hi-index | 35.69 |
The maximum-likelihood detection (MLD) algorithm is the optimal detection scheme for vertical Bell Laboratories layered space-time (V-BLAST) systems. However, it is generally infeasible to implement the MLD algorithm in practical systems because of its high computational complexity. In this paper, we used two parallel interference cancellation techniques, including precancellation and postcancellation, to simplify the MLD algorithm into a class of computationally efficient suboptimal detection algorithms, herein called the generalized parallel interference cancellation (GPIC) algorithm. Numerical analysis shows that the GPIC algorithm can approximately achieve the MLD performance with considerably low and stable computational complexity. Furthermore, it can be significantly accelerated via parallel processing methods. With near-optimal performance, low and stable complexity, and high running speed, the GPIC algorithm is very suitable for real-time communication systems.