Progressive Linear Precoder Optimization for MIMO Packet Retransmissions Exploiting Channel Covariance Information

• Published in: IEEE transactions on communications Vol. 56; no. 5; pp. 818 - 827
• Main Authors: Haitong Sun, Zhihua Shi, Chunming Zhao, Manton, J.H., Zhi Ding
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Automatic repeat request; Channel state information; Channels; Coding, codes; Covariance; Design engineering; Exact sciences and technology; Fading; Feedback; Gain; Information, signal and communications theory; MIMO; Mutual information; OFDM; Optimization; Performance gain; Radiocommunications; Signal and communications theory; Sun; Switching and signalling; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Transmitters; Transmitters. Receivers; Fading channels; Performance evaluation; MIMO system; Singularity; Packet switching; Parameter estimation; Transmitter; channel state information; Ergodicity; antenna correlation; Optimization; MIMO systems; Covariance; Coding; Channel estimation; Automatic repeat request; Mutual information; Antenna
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2008.060114

This work investigates the design of linear precoders for ARQ packet retransmissions in multi-input multi-output (MIMO) systems. We consider transmitter precoder design based on partial MIMO channel information in the form of their covariance feedback. Our objective is to maximize the ergodic mutual information provided by multiple (re)transmissions of a packet subject to transmission power constraint. We propose a set of near-optimal successive linear ARQ precoders for flat fading MIMO channels. This progressive linear ARQ precoder combines the appropriate power loading and the reverse-order pairing of singular values in the current retransmission with previous transmissions. This reverse-order pairing is a special feature unique to our sequential ARQ preceding approach with demonstrated performance gains.