Multiuser Detection
Wcdma for Umts
Modern Wireless Communication
Fundamentals of wireless communication
Fundamentals of wireless communication
Dynamic Resource Allocation in CDMA Systems with Deterministic Codes and Multirate Provisioning
IEEE Transactions on Mobile Computing
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Sequential detection for multiuser MIMO CDMA systems with single spreading code per user
IEEE Transactions on Wireless Communications
Interference cancellation for cellular systems: a contemporary overview
IEEE Wireless Communications
Layered space-time multiuser detection over wireless uplink systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Transactions letters - Layered group detection for multiuser mimo wireless cdma systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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Code Division Multiple Access (CDMA) and multiple input multiple output- (MIMO-) CDMA systems suffer from multiple access interference (MAI) which limits the spectral efficiency of these systems. By making these systems more power efficient, we can increase the overall spectral efficiency. This can be achieved through the use of improved modulation and coding techniques. Conventional MIMO-CDMA systems use fixed spreading code assignments. By strategically selecting the spreading codes as a function of the data to be transmitted, we can achieve coding gain and introduce additional degrees of freedom in the decision variables at the output of the matched filters. In this paper, we examine the bit error rate performance of parity bit-selected spreading and permutation spreading under different wireless channel conditions. A suboptimal detection technique based on maximum likelihood detection is proposed for these systems operating in frequency selective channels. Simulation results demonstrate that these code assignment techniques provide an improvement in performance in terms of bit error rate (BER) while providing increased spectral efficiency compared to the conventional system. Moreover, the proposed strategies are more robust to channel estimation errors as well as spatial correlation.