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This paper considers an uplink multiuser massivemultiple-input-multiple-output (MIMO) system with low-resolutionanalog-to-digital converters (ADCs), in which K users with a single-antennacommunicate with one base station (BS) with Nr antennas. In this system, wepresent a novel multiuser MIMO detection framework that is inspired by codingtheory. The key idea of the proposed framework is to create a code C of length2Nr over a spatial domain. This code is constructed by a so-calledauto-encoding function that is not designable but is completely described by achannel transformation followed by a quantization function of the ADCs. Fromthis point of view, we convert a multiuser MIMO detection problem into anequivalent channel coding problem, in which a codeword of C corresponding tousers' messages is sent over 2Nr parallel channels, each with different channelreliability. To the resulting problem, we propose a novel weighted minimumdistance decoding (wMDD) that appropriately exploits the unequal channelreliabilities. It is shown that the proposed wMDD yields a non-trivial gainover the conventional minimum distance decoding (MDD). From coding-theoreticviewpoint, we identify that bit-error-rate (BER) exponentially decreases withthe minimum distance of the code C, which plays a similar role with a conditionnumber in conventional MIMO systems. Furthermore, we develop the communicationmethod that uses the wMDD for practical scenarios where the BS has no knowledgeof channel state information. Finally, numerical results are provided to verifythe superiority of the proposed method.

Uplink Multiuser Massive MIMO Systems with Low-Resolution ADCs: A Coding-Theoretic Approach