MIMO-OFDM Optimal Decoding and Achievable Information Rates Under Imperfect Channel Estimation

Sajad Sadough (1) , Pablo Piantanida (1) , Pierre Duhamel (1)

1 L2S - Laboratoire des signaux et systèmes

Optimal decoding of bit interleaved coded modulation (BICM) MIMO-OFDM where an imperfect channel estimate is available at the receiver is investigated. First, by using a Bayesian approach involving the channel a posteriori density, we derive a practical decoding metric for general memoryless channels that is robust to the presence of channel estimation errors. Then, we evaluate the outage rates achieved by a decoder that uses our proposed metric. The performance of the proposed decoder is compared to the classical mismatched decoder and a theoretical decoder defined as the best decoder in the presence of imperfect channel estimation. Numerical results over Rayleigh block fading MIMO-OFDM channels show that the proposed decoder outperforms mismatched decoding in terms of bit error rate and outage capacity without introducing any additional complexity.

Mots clés: MIMO-OFDM; Improved Iterative Detection; Mismatched Detection; improved ML decoding metric; Outage Capacity; Achieved Throughputs; Achievable rates; Imperfect Channel Estimation

Domaines: Réseaux et télécommunications [cs.NI]

Sajad Sadough, Pablo Piantanida, Pierre Duhamel. MIMO-OFDM Optimal Decoding and Achievable Information Rates Under Imperfect Channel Estimation. The VIII IEEE Workshop on Signal Processing Advances in Wireless Communications, Jun 2007, Finland. 5 p. ⟨hal-00166626⟩