Abstract: In this study, we consider the performance of the Direct Sequence Code Division Multiple Access (DS-CDMA) system. This study investigated, the Bit Error Rate (BER) performance of a synchronous DS-CDMA system over Additive White Gaussian Noise and Rayleigh channel which is inflated by the different number of users as well as different number of Qubits. We present a quantum detection system based on the circuit model of quantum constraints. In this model, Quantum algorithms are represented by sequential and combinational circuits which comprise quantum gates and quantum registers. The well known Grover algorithm is described and it is compared with classical detection methods along with Improved Quantum Weighted Sum Algorithm (IQWSA). The simulation results demonstrate that the proposed data detection algorithm for MIMO system has a very close to Maximum Likelihood based data detection in BER performance but it has lower complexity than ML-MUD based data detection algorithm.
S. Karthikeyan, P. Ganesh Kumar and S. Sasikumar, 2016. Low Complexity Quantum Assisted Linear Multiuser Detection for DS-CDMA System. Asian Journal of Information Technology, 15: 795-807.