Title :
Macrocell multiple-input multiple-output system with local-to-mobile and local-to-base scatterers
Author :
Shi, Gang ; Nehorai, Arye
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois, Chicago, IL, USA
Abstract :
We develop a semi-deterministic semi-stochastic channel model for a multiple-input multiple-output (MIMO) system under the macrocell environment with local-to-mobile and local-to-base scatterers, and show that the channel capacity, multiplexing gain and diversity gain are multipath limited in the sense that they are limited by the number of multipaths around the base station. We derive a lower bound on the ergodic capacity and an upper bound on the average pairwise error detection probability. It is shown that the base-station array affects the two different information theoretic measures through the same metric, and the fading correlation matrix also appears in the two bounds with the same form. Numerical examples show the tightness of the two bounds.
Keywords :
MIMO systems; array signal processing; cellular radio; channel capacity; correlation methods; diversity reception; electromagnetic wave scattering; error statistics; fading channels; multipath channels; multiplexing; average pairwise error detection probability; base-station antenna array; diversity gain; ergodic capacity; fading correlation matrix; local-to-base scatterers; local-to-mobile scatterers; macrocell MIMO system; multipath limited channel capacity; multiple-input multiple-output system; multiplexing gain; semideterministic semistochastic channel model; Antenna arrays; Base stations; Channel capacity; Diversity methods; Fading; MIMO; Macrocell networks; Random variables; Scattering; Transmitters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326924