Title :
Multiuser detection for interference-limited MIMO systems
Author :
Dai, Huaiyu ; Molisch, Andreas F.
Author_Institution :
AT&T Labs - Res., Middletown, NJ, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
We consider the application of multiuser detection to the downlink of interference-limited multiple-input multiple-output (MIMO) cellular systems. MIMO systems have been shown to yield a tremendous capacity for a single link with white Gaussian noise. In a cellular environment, there will often be co-channel interference from other cells, which becomes the dominating channel impairment. Here space-time layered architectures and turbo processing techniques are combined with multiuser detection techniques for combating intercell interference. Among various multiuser detection methods examined, linear MMSE and successive interference cancellation have been shown to be feasible and effective. Based on these two multiuser detection schemes, one of which may outperform the other for different settings, an adaptive detection scheme is developed.
Keywords :
Gaussian noise; MIMO systems; adaptive signal detection; cellular radio; channel capacity; cochannel interference; frequency division multiple access; interference suppression; least mean squares methods; multiuser channels; radio links; time division multiple access; turbo codes; white noise; TDMA/TDMA multicell system; adaptive signal detection; cochannel interference; downlink; interference-limited MIMO systems; linear MMSE; link capacity; multiple-input multiple-output cellular systems; multiuser detection; space-time layered architectures; successive interference cancellation; turbo processing; white Gaussian noise; Downlink; Frequency; Gaussian noise; Interchannel interference; Interference cancellation; MIMO; Multiuser detection; Radiofrequency interference; Receiving antennas; Working environment noise;
Conference_Titel :
Vehicular Technology Conference, 2002. VTC Spring 2002. IEEE 55th
Print_ISBN :
0-7803-7484-3
DOI :
10.1109/VTC.2002.1002661