Precoding and Decoding in the MIMO Interference Channel for Discrete Constellation

Yasser Fadlallah (1, 2) , Amir Khandani (3) , Karine Amis Cavalec (1, 2) , Abdeldjalil Aissa El Bey (1, 2) , Ramesh Pyndiah (1, 2)

1 Lab-STICC_TB_CACS_COM
2 SC - Département Signal et Communications
3 CSIT - Canadian Society of Information Theory [Waterloo]

This paper addresses the problem of decoding and precoding in the K-user MIMO interference channels. At the receiver side, a joint decoding of the interference and the desired signal is able to improve the receive diversity order. At the transmitter side, we introduce a joint linear precoding design that maximizes the joint cut-off rate, known as a tight lower bound on the joint mutual information for high signal-to-noise ratio (SNR). We also derive a closed-form solution of the precoding matrices that maximizes the mutual information when the SNR is close to zero. This solution is characterized by its low computational complexity, and only requires a local channel state information knowledge at the transmitters. Our simulation results show that decoding interference jointly with the desired signal results in a significant improvement of the receive diversity order. Also a substantial bit error rate and sum-rate improvements are illustrated using the proposed precoding designs.

Mots clés: Interference channel; Multi-user MIMO systems; Cut-off rate; Mutual information; Receive diversity

Domaines: Théorie de l'information [cs.IT]

Yasser Fadlallah, Amir Khandani, Karine Amis Cavalec, Abdeldjalil Aissa El Bey, Ramesh Pyndiah. Precoding and Decoding in the MIMO Interference Channel for Discrete Constellation. PIMRC 2013 : IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2013, Londres, United Kingdom. pp.1157 - 1161. ⟨hal-00931029⟩