Wu, YongpengWen, Chao-KaiNg, Derrick Wing KwanSchober, RobertLozano Solsona, Angel2016-11-302016-11-302016Wu Y, Wen CK, Ng DWK, Schober R, Lozano A. Low-complexity MIMO precoding with discrete signals and statistical CSI. In: 2016 IEEE International Conference on Communications (ICC); 2016 maig 22-27; Kuala Lumpur (Malaysia). [s.l.]: IEEE; 2016. Wireless communications symposium, Multiple access; p. 620-625. DOI: 10.1109/ICC.2016.7510761http://hdl.handle.net/10230/27635In this paper, we investigate the design of multiple-input multiple-output single-user precoders for finite-alphabet signals under the premise of statistical channel-state information at the transmitter. Based on an asymptotic expression for the mutual information of channels exhibiting antenna correlations, we propose a low-complexity iterative algorithm that radically reduces the computational load of existing approaches by orders of magnitude with only minimal losses in performance. The complexity savings increase with the number of transmit antennas and with the cardinality of the signal alphabet, making it possible to support values thereof that were unwieldy in existing solutions.application/pdfeng© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works./nThe final published article can be found at http://dx.doi.org/10.1109/ICC.2016.7510761info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICC.2016.7510761TransmittersMIMOMutual informationChannel modelsPrecodingReceiversConstellation diagraminfo:eu-repo/semantics/openAccess