空間排列調變：一項新的多輸入多輸出傳輸技術

Multiple-input multiple-output (MIMO) technology significantly enhances the communication performance and has been widely adopted in numerous standards. The recently-proposed spatial modulation loads the information in the spatial domain, i.e., activating partial transmit antennas which are selected by the information bits. Compared with the single-input single-output (8180) system, the spatial modulation improves the throughput without much complexity overhead, and thus becomes a promising transmission technique. We have proposed a new multiple-input multiple-output (MIMO) transmission technology called spatial permutation modulation (SPM) which is honorably supported by three successive MOST projects. SPM maps the information bits to the QAM symbols and the permutation array. The QAM symbols are transmitted by different transmit antennas at different time instants, selected by the associated permutation array. We have published the research result in IEEE international conference on communication (ICC) for two-years in a row. In this project, we complete the design of the SPM transceiver and the associated theoretical performance analysis. The developed SPM transmitter can simultaneously activate multiple transmit antennas to transmit various QAM symbols. The design space is multidimensional including modulation of QAM symbols, the allocation of QAM symbols in the time-space grid, and the mapping between the permutation array and the active transmit antennas. Such complicated design space requires a thorough theoretical analysis for the SPM transmission optimization. In particular, the pair-wise error probability (PEP) is derived by using the Chernoff bound, moment generating function, and certain numerical methods, e.g., saddle-point approximation. We will derive the closed-form expression to shed light on the relations among transmission parameters. Moreover, we investigate the combination of SPM with other transmission technologies (e.g., space-time block code) and the other applications in addition to baseband MIMO system (e.g., virtual MIMO in cognitive radio network). These investigations can serve as examples to demonstrate the applicability and practicability of SPM.