Title :
Linear multiuser receivers for multipath fading channels
Author :
Evans, Jamie S. ; Tse, David N C
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
In this paper we study the impact of channel estimation errors on the performance of linear multiuser receivers, as well as the channel estimation problem itself. Of particular interest are the scalability properties of the channel and data estimation algorithms: what happens to the performance as the system bandwidth and the number of users (and hence channels to estimate) grows? Our main results involve asymptotic expressions for the signal-to-interference ratio of linear multiuser receivers in the limit of large processing gain, with the number of users divided by the processing gain held constant
Keywords :
code division multiple access; fading channels; least mean squares methods; multipath channels; spread spectrum communication; time-varying channels; asymptotic expressions; channel estimation errors; data estimation algorithms; linear multiuser receivers; multipath fading channels; processing gain; scalability properties; signal-to-interference ratio; system bandwidth; Analytical models; Bandwidth; Bit error rate; Channel estimation; Computational modeling; Ear; Fading; Scalability; Signal processing; Steady-state;
Conference_Titel :
Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE
Conference_Location :
Kruger National Park
Print_ISBN :
0-7803-5268-8
DOI :
10.1109/ITCOM.1999.781398
