DocumentCode :
1743265
Title :
Capacity scaling in dual-antenna-array wireless systems
Author :
Tse, David ; Chuah, Chen-Nee ; Kahn, Joseph M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume :
1
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
694
Abstract :
Wireless systems using multi-element antenna arrays simultaneously at both transmitter and receiver promise a much higher capacity than conventional systems. Previous studies have shown that single-user systems employing n-element transmit and receive arrays can achieve a capacity proportional to n, assuming independent Rayleigh fading between pairs of antenna elements. We explore the capacity of dual-antenna-array systems via theoretical analysis and simulation experiments. We present expressions for the asymptotic growth rate of capacity with n for both independent and correlated fading cases; the latter is derived under some assumptions about the fading correlation structure. We show that the capacity growth is linear in n in both the independent and correlated cases, but the growth rate is smaller in the latter case. We compare the predictions of our asymptotic theory to the capacities of channels simulated using ray tracing and find good agreement even for moderate n, i.e., 1/spl les/n/spl les/16. Our results address both the cases when the transmitter does and does not know the channel realization.
Keywords :
Rayleigh channels; antenna arrays; channel capacity; correlation methods; fading channels; radio links; receiving antennas; transmitting antennas; Rayleigh fading; asymptotic theory; capacity scaling; channel capacity; correlated fading; dual-antenna-array systems; fading correlation structure; independent fading; ray tracing channel simulation; wireless systems; Analytical models; Antenna arrays; Channel capacity; Fading; Mutual information; Predictive models; Rayleigh channels; Receiving antennas; Transmitters; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.911042
Filename :
911042
Link To Document :
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