4.6 Article

Reconfigurable Intelligent Surface-Assisted Spatial Scattering Modulation

Journal

IEEE COMMUNICATIONS LETTERS
Volume 26, Issue 1, Pages 192-196

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2021.3127020

Keywords

Radio frequency; Wireless communication; Modulation; Uplink; Bit error rate; Scattering; Array signal processing; Reconfigurable intelligent surface; spatial scattering modulation; maximum likelihood detection; bit error rate

Funding

  1. National Key R&D Program of China [2017YFE0118900]
  2. Fundamental Research Funds for the Central Universities [lzujbky-2021-2]

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This letter proposes a novel uplink millimeter-wave communication system that utilizes reconfigurable intelligent surface (RIS) and spatial scattering modulation (SSM) for improved data transmission over wireless channels. The system design includes reflecting phase shifters at the RIS to support two-hop communications, and a maximum likelihood detector for the RIS-SSM system along with a new analytical expression for tight union upper bound on bit error rate (BER). Monte Carlo simulations validate the accuracy of the analytical expression and demonstrate that the proposed RIS-SSM scheme achieves significantly lower BER compared to traditional SSM.
Reconfigurable intelligent surface (RIS) and spatial scattering modulation (SSM) are promising candidates for future generations of wireless communication. The former provides an enhanced transmission environment by providing an alternative communication path, while the latter boosts spectral efficiency. In this letter, we firstly propose a novel uplink millimeter-wave (mmWave) communication system that utilizes both RIS and SSM to support data transmission over wireless channels. Specifically, we design the reflecting phase shifters at the RIS to support the two-hop communications. Moreover, a maximum likelihood detector is adopted to a new system with RIS-SSM and a new analytical expression for a tight union upper bound on the bit error rate (BER) is derived. Monte Carlo simulation results are provided to verify the accuracy of the derived analytical expression. Numerical results reveal that the proposed RIS-SSM scheme has a significantly lower BER than the traditional SSM.

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