Generalized Quadrature Spatial Modulation and Its Application to Vehicular Networks With NOMA

Jun Li, Shuping Dang, Yier Yan, Yuyang Peng, Saba Al-Rubaye, Antonios Tsourdos

Research output: Contribution to journalArticlepeer-review

Abstract

Quadrature spatial modulation (QSM) is recently proposed to increase the spectral efficiency (SE) of SM, which extends the transmitted symbols into in-phase and quadrature domains. In this paper, we propose a generalized QSM (GQSM) scheme to further increase the SE of QSM by activating more than one transmit antenna in in-phase or quadrature domain. A low-complexity detection scheme for GQSM is provided to mitigate the detection burden of the optimal maximum-likelihood (ML) detection method. An upper bounded bit error rate is analyzed to discover the system performance of GQSM. Moreover, by collaborating with the non-orthogonal multiple access (NOMA) technique, we investigate the practical application of GQSM to cooperative vehicular networks and propose the cooperative GQSM with OMA (C-OMA-GQSM) and cooperative GQSM with NOMA (C-NOMA-GQSM) schemes. Computer simulation results verify the reliability of the proposed low-complexity detection as well as the theoretical analysis, and show that GQSM outperforms QSM in the entire SNR region. The superior BER performance of the proposed C-NOMA-GQSM scheme make it a promising modulation candidate for next generation vehicular networks.
Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalIEEE Transactions on Intelligent Transportation Systems
DOIs
StatePublished - 2020

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