@article{3033759,
    title = "A Novel Low Complexity Scheme for Multiuser Massive MIMO Systems",
    author = "Htun, Aye Mon and Maw, Maung Sann and Sasase, Iwao and Mathiopoulos, P. and Takis",
    journal = "IEICE Transactions on Communications",
    year = "2022",
    volume = "E105B",
    number = "1",
    pages = "85-96",
    publisher = "IEICE-INST ELECTRONICS INFORMATION COMMUNICATION ENGINEERS",
    issn = "0916-8516, 1745-1345",
    doi = "10.1587/transcom.2021EBP3039",
    keywords = "MU-massive MIMO; user selection; transmit antenna selection; computation
complexity; SINR; SVD; block diagonalization",
    abstract = "In this paper, we propose a novel user selection scheme based on jointly
combining channel gain (CG) and signal to interference plus noise ratio
(SINR) to improve the sum-rate as well as to reduce the computation
complexity of multi-user massive multi-input multi-output (MU-massive
MIMO) downlink transmission through a block diagonalization (BD)
precoding technique. By jointly considering CG and SINR based user sets,
sum-rate performance improvement can be achieved by selecting higher
gain users with better SINR conditions as well as by eliminating the
users who cause low sum-rate in the system. Through this approach, the
number of possible outcomes for the user selection scheme can be reduced
by counting the common users for every pair of user combinations in the
selection process since the common users of CG-based and SINR-based sets
possess both higher channel gains and better SINR conditions. The common
users set offers not only sum-rate performance improvements but also
computation complexity reduction in the proposed scheme. It is shown by
means of computer simulation experiments that the proposed scheme can
increase the sum-rate with lower computation complexity for various
numbers of users as compared to conventional schemes requiring the same
or less computational complexity."
}