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IEEE International Symposium on Industrial Electronics
Generically Dependent Continuant
RDF description of Quality-of-service analysis for linear multiuser detectors in the uplink of a wireless network - http://orbis.uaslp.mx/vivo/individual/scopus8119
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Cellular telephone systems; Code division multiple access; Communication systems; Direct sequence systems; Electronics industry; Error analysis; Global system for mobile communications; Industrial electronics; Mobile computing; Multiple access interference; Quality control; Radio interference; Security of data; Singular value decomposition; Specifications; Technical presentations; Telecommunication; Turbo codes; Wireless networks; Wireless telecommunication systems; Active users; Base stations; Decorrelator; Direct-sequence code division multiple access systems; Interference ratio; International symposium; Linear detectors; Linear multiuser detectors; Loading levels; Matched-filter; Mean-squared error; Mobile units; Mobile users; Monte-Carlo; Noise information; Noise representations; Numerical evaluations; Perfor mance comparison; Performance specifications; Simulation results; Uplink channels; Wireless communication systems; Quality of service
Quality-of-service analysis for linear multiuser detectors in the uplink of a wireless network
In any wireless network is important to measure the Quality-of-Service (QoS) at the mobile units. Based on this information, the network will relocate their resources in order to achieve the performance specifications. Hence this objective motivates this paper, where analytical evaluations of the signal-to-noise plus interference ratio (SNIR) are carried out for each active user in a wireless communication system. In particular, this work studies the performance of linear detectors for Direct-Sequence Code Division Multiple Access (DS-CDMA) systems at different loading levels using singular value decomposition (SVD) techniques in the uplink channel. The QoS in terms of the SNIR are compared for the matched filter (MF), decorrelator, projector and minimum-mean-squared error (MMSE) detectors. In the analytical evaluations, two techniques are proposed to quantify the SNIR according to the multiple-access interference (MAI) and noise representation. The first one is based on an average of the MAI and noise information of all mobile users at the base station. The second approach relies on computing explicitly the interference for each active user. Simulation results show a performance comparison between both approaches, and a Monte-Carlo numerical evaluation in terms of the SNIR and the number of active users. © 2007 IEEE.
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