Title :
Performance of MIMO space-time coded discrete modulations .1. Introduction and flat-fading channels
Author :
Cheng, Jung-Fu Thomas
Author_Institution :
Ericsson Res., Research Triangle Park, NC, USA
Abstract :
We consider the maximum-likelihood (ML) decoding performance of concatenated space-time (ST) random coded communication utilizing multiple input and multiple output (MIMO) antennas on quasi-static fading channels. The ensemble-averaged codeword error rates of such systems can be upper bounded by the outage probabilities of the corresponding conditional cutoff rates. We refer to these as the information cutoff probabilities and evaluate them numerically for a wide range of ST coding schemes. The slope behaviors of these cutoff probabilities are found to be consistent with the maximum achievable diversity orders given by a new unified bound. With simulations of a class of ST coding schemes based on bit-interleaved coded modulations and iterative spatial/temporal decoders, we further show these cutoff probabilities can provide accurate predictions for total performance gains.
Keywords :
MIMO systems; antenna arrays; concatenated codes; diversity reception; fading channels; interleaved codes; maximum likelihood decoding; modulation coding; probability; random codes; receiving antennas; space-time codes; transmitting antennas; MIMO space-time coded discrete modulations; ML decoding performance; ST coding; bit-interleaved coded modulation; concatenated space-time random coded communication; conditional cutoff rates; ensemble-averaged codeword error rates; flat-fading channels; information cutoff probabilities; iterative spatial/temporal decoders; maximum achievable diversity orders; maximum-likelihood decoding performance; multiple input multiple output antennas; outage probabilities; performance gains; quasi-static fading channels; simulations; unified bound; Concatenated codes; Error analysis; Fading; Interleaved codes; Iterative decoding; MIMO; Maximum likelihood decoding; Modulation coding; Performance gain; Predictive models;
Conference_Titel :
Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE
Print_ISBN :
0-7803-7632-3
DOI :
10.1109/GLOCOM.2002.1188382