Researches On Spatial Modulation Based Large-scale Multiple-input Multiple-output Transmission Technology

Recently,massive MIMO system,which is capable of attaing high transmission rate and high transmission reliability without increasing the additional bandwidth will become the key transmission technique in the fifth generation mobile communications.However,the expensive RF hardware overhead,complex signal processing,and difficult channel estimation are the main challenges in the massive MIMO design.Therefore,how to design a massive MIMO scheme to balance an elegant tradeoff among the high-speed,reliable and efficient will become the main issues in the fifth generation mobile communications.Spatial Modulation(SM),which employs the active antenna indices and constellation symbosl to convey information,is a novel MIMO scheme.Compared with conventional MIMO schemes,the SM scheme employs sparse-RF based structure and has lower implementation expenses,hence,SM is able to become a promising candidate for massive MIMO systems.This paper mainly focuses on low-compelxity detection and transimission design for the massive SM systems,including Compressive Sensing(CS)and Turbo equalization based signal detection,massive Space-Time Block Coding SM(STBC-SM)design,massive Spatial Multiplexing SM(SMx-SM)design and non-coherent detection based massive SM design.In order to reduce the complexity of signal detection in the massive MIMO system,Chapter 2 introduces the CS and Turbo equalization based signal detection.Firstly,CS based signal detection is investigated under flat fading channel.Specifically,in order to reduce the error floor in conventional CS algorithm,three impreoved CS detection algoritms are proposed by exploiting the sparsity of SM symbols,which are capable of achieving a considerable reduction in computational complexity compared to other near-optimal algorithms with a negligible performance loss.On the other hand,low-complexity Time Domain Turbo Equalization(TDTE)based soft decision algorithms are proposed for single carrier SM systems under dispersive channel.Simulation results have shown that the proposed TDTE detectors are capable of providing considerable Bit Error Rate(BER)performance gains over existing TDTE detectors,especially for the unbalanced antenna configurations.In order to improve the performace of the SM scheme,Chapter 3 investigates the high diversity based massive SM design.Firstly,the performance and limitations of the conventional STBC-SM systems are studied.In order to circumvent these limitations,a novel massive STBC-SM scheme is proposed and an upper bound for the ABEP of the proposed scheme is derived.Furthermore,a low-complexity near-optimal detector is design for the proposed scheme.In order to increase the transmit rate of SM system,Chapter 4 investigates the high throughput massive SM-MIMO design.Specifically,a novel SMx-SM scheme is proposed,and low-complexity threshold-aided CS based and Message Passing(MP)based detectors are proposed for the proposed SMx-SM scheme.Finally,an upper bound is derived for the ABEP to demonstrate that the proposed SMx-SM scheme is capable of providing beneficial performance gains over the conventional SM systems.Additionally,excessive pilot overhead is a big chanllenge in the massive MIMO design.Differential Spatial Modulation(DSM)scheme,which is capable of dispersing channel state information to avoid the excessive pilot overhead is studied in the Chapter 5.Firstly,a low-complexity detection scheme is proposed for the DSM scheme and then is applicated into large-scale MIMO scenarios.On the other hand,a nove STBC based DSM scheme is proposed to exploit the diversity benefits of the STBC without the channel state information.Moreover,a novel AM set,a low-compelxity detection algorithm and an upper bound for the ABEP are derived for the proposed scheme.Finally,Chapter 6 summarizes the contributions of this thesis and provides some adivices of the future researches.