DocumentCode
1604926
Title
Impact of multipath angular distribution on performance of MIMO systems
Author
Leo Chan ; Loyka, Sergey
Author_Institution
Nortel Networks, Ottawa, Ont., Canada
Volume
2
fYear
2004
Firstpage
853
Abstract
The objective of this paper is to analyze the impact of multipath angular distribution on the channel correlation and performance of MIMO systems. A full breadth of AOA models is used in this study, and they cover most scattering scenarios of the physical propagation channel. Closed-form expressions for parameters and corresponding correlation of these AOA models are derived. A simulation model was developed and extensive Monte Carlo simulations were performed to obtain the MIMO channel capacity, correlation, and diversity gain for various scenarios. Two major results are (i) the distribution shape has minor impact on the correlation, capacity and diversity gain; the major impact is due to the angular spread; (ii) the continuous and impulsive distribution have dramatically different impacts on the correlation, capacity and diversity gain.
Keywords
MIMO systems; Monte Carlo methods; channel capacity; correlation methods; direction-of-arrival estimation; electromagnetic wave scattering; mobile radio; multipath channels; radiowave propagation; statistical distributions; AOA models; MIMO systems; Monte Carlo simulations; angular spread; channel capacity; channel correlation; closed-form expressions; continuous distribution; distribution shape; diversity gain; impulsive distribution; multipath angular distribution; performance; physical propagation channel; scattering; wireless communications; Antenna accessories; Channel capacity; Diversity methods; Equations; Information technology; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2004. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-8253-6
Type
conf
DOI
10.1109/CCECE.2004.1345248
Filename
1345248
Link To Document