Multiuser Transmission via Multiuser Detection: Altruistic-Optimization and Egocentric-Optimization

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Description/Abstract

This contribution motivates finding the relationship between multiuser detection (MUD) and multiuser transmission (MUT) or multiuser transmitter preprocessing, so that a study in MUT can benefit from the well-built theory in MUD. Our study shows that there exists a counterpart linear MUT scheme for any given linear MUD scheme. The counterpart linear MUT can be readily designed from the original linear MUD associated with considering the power constraint on the transmitted signals as well as the availability of the knowledge about the noise presenting at the remote terminals. With the aid of our obtained theory, then, three types of MUT algorithms are derived and investigated in correspondence with the well-known linear processing schemes in the fields of MUD, including matched-filtering (MF), zero-forcing (ZF) and minimum mean-square error (MMSE).