Title :
Transmit power and other-cell interference reduction via successive interference cancellation with imperfect channel estimation
Author :
Andrews, Jeffrey G. ; Meng, Teresa H Y
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
Successive interference cancellation (SIC), in conjunction with orthogonal convolutional codes, has been shown to approach the Shannon capacity for an AWGN channel. However, multi-cell fading wireless channels induce error in the amplitude and phase estimates required to perform perfect cancellation of the interference. By combining SIC with a previously developed power control algorithm, we show that other-cell interference and transmit power can be reduced by an order of magnitude or more relative to a conventional (IS-95 style) CDMA system. In addition, even as estimation error becomes large, the capacity is more than doubled over systems without interference cancellation or those that employ SIC without optimum power control
Keywords :
cellular radio; channel capacity; code division multiple access; convolutional codes; error analysis; interference suppression; multiuser channels; parameter estimation; power control; radio transmitters; radiofrequency interference; telecommunication control; AWGN channel; IS-95 CDMA system; Shannon capacity; amplitude estimate error; error-correcting code; imperfect channel estimation; multi-cell fading wireless channels; optimum power control; orthogonal convolutional codes; other-cell interference reduction; phase estimate error; power control algorithm; successive interference cancellation; transmit power reduction; AWGN channels; Amplitude estimation; Convolutional codes; Estimation error; Fading; Interference cancellation; Multiaccess communication; Phase estimation; Power control; Silicon carbide;
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
DOI :
10.1109/ICC.2001.937128
