Iterative Decoding and Soft Interference Cancellation for the Gaussian Multiple Access Channel
Wireless Personal Communications: An International Journal
Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach
Signal Processing - Special section: Security of data hiding technologies
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
On the Performance of Energy-Division Multiple Access with Regular Constellations
Wireless Personal Communications: An International Journal
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A Continuous Relaxation Method for Multiuser Detection Problem
Wireless Personal Communications: An International Journal
Hi-index | 754.84 |
A systematic approach to decision feedback multiuser detection is introduced for the joint detection of symbols of K simultaneously transmitting users of a synchronous correlated waveform multiple-access (CWMA) channel with Gaussian noise. A new performance criterion called symmetric energy is defined which is a low-noise indicator of the joint error rate that at least one user is detected erroneously. Even the best linear detectors can perform poorly in terms of symmetric energy compared to the maximum-likelihood detector. A general class of decision feedback detectors (DFDs) is defined with O(K) implementational complexity per user. The symmetric energy of arbitrary DFD and bounds on their asymptotic effective energy (AEE) performance are obtained along with an exact bit-error rate and AEE analysis for the decorrelating DFD. The optimum DFD that maximizes symmetric energy is obtained. Each one of the K! optimum, decorrelating, and conventional DFDs, that correspond to the K! orders in which the users can be detected, are shown to outperform the linear optimum, decorrelating, and conventional detectors, respectively, in terms of symmetric energy. Moreover, algorithms are obtained for determining the choice of order of detection for the three DFDs which guarantee that they uniformly (user-wise) outperform their linear counterparts. In addition to optimality in symmetric energy, it is also shown that under certain conditions, the optimum DFD achieves the AEE performance of the exponentially complex maximum-likelihood detector for all users simultaneously. None of the results of this paper make the perfect feedback assumption. The implications of our work on power control for multiuser detection are also discussed