4.7 Article

Constructive Interference Precoding for Generalized Precoding-Aided Quadrature Spatial Modulation With Phase-Shift-Keying Signaling

Journal

IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 10, Issue 10, Pages 2259-2263

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2021.3099123

Keywords

Precoding; Detectors; Interference; Indexes; Phase shift keying; MIMO communication; Wireless communication; Constructive interference (CI); quadrature spatial modulation (QSM); symbol-level precoding

Funding

  1. Ministry of Science and Technology (MOST), Taiwan, R.O.C. [MOST 109-2221-E-005-079, MOST 110-2221-E-005-031]

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In this letter, computationally efficient precoder and detector design problems are formulated for symbol-level generalized precoding-aided spatial modulation systems with phase-shift-keying signaling. A novel low-complexity decoupled detector is presented, and two new precoders using constructive interference techniques are formulated to enhance the detector's performance. It is shown that both precoder design problems share a unified form, enabling efficient solving using existing iterative closed-form algorithms. The proposed precoders are demonstrated through numerical simulations to strike the best balance between performance and complexity relative to other benchmark algorithms.
In this letter, we formulate computationally efficient precoder and detector design problems for symbol-level generalized precoding-aided spatial modulation (GPQSM) systems with phase-shift-keying signaling. We first present a novel low-complexity decoupled detector. Subsequently, we formulate two new precoders using constructive interference (CI) techniques to enhance the performance of the proposed decoupled detector. We then demonstrate that both precoder design problems share a unified form, which enables them to be solved efficiently using the existing iterative closed-form algorithm. Finally, we show that our proposed CI precoders under efficient implementation strike the best balance between performance and complexity relative to other benchmark algorithms through numerical simulations.

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