Construction of 1-Bit Transmit Signal Vectors for Downlink MU-MISO Systems: QAM constellations
- Authors
- Park, Sungyeal; Cho, Yunseong; Hong, Songnam
- Issue Date
- Oct-2021
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- 1-bit DAC; Computational complexity; Downlink; downlink precoding; linear programming; Massive MISO; MISO communication; Phase shift keying; Power demand; Precoding; Quadrature amplitude modulation
- Citation
- IEEE Transactions on Vehicular Technology, v.70, no.10, pp.10065 - 10076
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Vehicular Technology
- Volume
- 70
- Number
- 10
- Start Page
- 10065
- End Page
- 10076
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140881
- DOI
- 10.1109/TVT.2021.3102058
- ISSN
- 0018-9545
- Abstract
- In this paper, we investigate the construction of a transmit signal for a base station with a massive number of antenna arrays under the cost-effective 1-bit digital-to-analog converters. Due to the coarse nonlinear property, conventional precoding methods could not yield an attractive performance with a severe error-floor problem. Moreover, finding an optimal transmit signal is computationally implausible because of its combinatorial nature. Thus, it is still an open problem to construct a 1-bit transmit signal efficiently. As an extension of our earlier work, we propose an efficient method to construct an 1-bit transmit-signal under quadrature-amplitude-modulation constellations. Toward this, we first derive the so-called feasibility condition which ensures that every user's noiseless observation belongs to a desired decision region, and then transform it as linear constraints. Taking into account the robustness to an additive noise, the proposed construction method is formulated as a well-defined mixed-integer-linear-programming problem. Based on this, we develop a low-complexity algorithm to solve it (equivalently, to generate a 1-bit transmit signal). Via simulations, we verify the superiority of the proposed method in terms of a computational complexity and detection performance.
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