Space-time coding and signal processing for MIMO communications
Journal of Computer Science and Technology
EURASIP Journal on Wireless Communications and Networking
Fast communication: User cooperation in an asynchronous cellular uplink
Signal Processing
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Wireless Communications and Networking
Semiblind Multiuser MIMO Channel Estimators Using PM and RRQR Methods
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Sequential detection for multiuser MIMO CDMA systems with single spreading code per user
IEEE Transactions on Wireless Communications
Space-time constant modulus algorithm equalizer for STBC systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
IEEE Transactions on Communications
Hi-index | 35.68 |
The demand for performance and capacity in cellular systems has generated a great deal of interest in the development of advanced signal processing techniques to optimize the use of system resources. In particular, much work has been done on space-time processing in which multiple transmit/receive antennas are used in conjunction with coding to exploit spatial diversity. We consider space-time multiuser detection using multiple transmit and receive antennas for code-division multiple-access (CDMA) communications. We compare, via analytical bit-error-probability calculations, user capacity, and complexity, two linear receiver structures for different antenna configurations. Motivated by its appearance in a number of third-generation (3G) wideband CDMA standards, we use the Alamouti (see IEEE J. Select. Areas Commun., vol.16, p.1451-58, Oct. 1998) space-time block code for two-transmit-antenna configurations. We also develop blind adaptive implementations for the two transmit/two receive antenna case for synchronous CDMA in flat-fading channels and for asynchronous CDMA, in fading multipath channels. Finally, we present simulation results for the blind adaptive implementations