A New Low-Complexity Near-ML Detection Algorithm for Spatial Modulation

Tang, Qian; Xiao, Yao; Yang, Ping; Yu, Qiaoling; Li, Shaoqian

doi:10.1109/wcl.2012.120312.120601

Cited by 74 publications

(52 citation statements)

References 12 publications

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“…(9). Hence, the error performance of the QBSD algorithm is inferior to that of Max-Log-LLR algorithm.…”

Section: Iqbsd Algorithmmentioning

confidence: 98%

“…(8), while only one of the minimum term in Eq. (9). Hence, in this step, we need to find the signal points that result in another minimum term of Eq.…”

Section: Lemma 2 For the Binary-reflected Gray Psk G K J → S K J Wmentioning

confidence: 99%

“…In [5], the authors first investigated the optimum hard-output maximum-likelihood (ML) detector, which jointly detects the transmit antenna index and the modulated symbol. To achieve a better trade-off between the performance and computational complexity, various sub-optimal hardoutput detectors based on ML and MF have been broadly investigated in [6][7][8][9], respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Motivated by this observation, in a recent work [9], a low-complexity soft-output distance-based ordered detector (SODBD) was proposed; however, it significantly suffers from performance degradation compared to the optimal MAP soft-output detector. In addition, [14] investigated the soft-decision detectors conceived for SM and STSK systems, where the active antenna index and the modulated symbol are separately detected, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Low-complexity soft-decision aided detectors for coded spatial modulation MIMO systems

Liu

Wang

Cheng

et al. 2016

J Wireless Com Network

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In this paper, we present an efficient transmission scheme for multiple-input multiple-output (MIMO) systems, i.e., coded spatial modulation (SM) systems with soft-decision aided detector. To exploit the powerful error correction of channel coding, the key challenge of coded SM systems is on designing a reliable but low-complexity soft-output detector. Fighting against this problem, we first propose two soft-output detection algorithms by exploiting the features of M-phase-shift keying (PSK) and M-quadrature amplitude modulation (QAM) constellations, namely, PSK-based soft-output detector (PBSD) and QAM-based soft-output detector (QBSD). Furthermore, to further enhance the performance of the two algorithms, we propose another two soft-output detection algorithms taking into account of counterpart maximum-likelihood (ML) estimate, namely, improved PSK-based soft-output detector (IPBSD) and improved QAM-based soft-output detector (IQBSD). The findings of this paper demonstrate that: (1) The computational complexity of PBSD and QBSD algorithms are much lower than that of Max-Log-LLR algorithm at the expense of error performance. (2) Both the IPBSD and IQBSD algorithms achieve the same performance as Max-Log-LLR algorithm with reduced computational complexity. In addition, a comprehensive performance and computational complexity comparison between the proposed algorithms and the Max-Log-LLR algorithm is provided to verify our proposed low-complexity soft-output detectors.

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“…(9). Hence, the error performance of the QBSD algorithm is inferior to that of Max-Log-LLR algorithm.…”

Section: Iqbsd Algorithmmentioning

confidence: 98%

“…(8), while only one of the minimum term in Eq. (9). Hence, in this step, we need to find the signal points that result in another minimum term of Eq.…”

Section: Lemma 2 For the Binary-reflected Gray Psk G K J → S K J Wmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Low-complexity soft-decision aided detectors for coded spatial modulation MIMO systems

Liu

Wang

Cheng

et al. 2016

J Wireless Com Network

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show abstract

“…Several reduced-complexity detectors were proposed for SM in [9]- [12] that achieve near-ML performance. Furthermore, the robustness of the SM system to channel imperfections was studied in comparison to conventional MIMO (C-MIMO) systems in [13], [14].…”

mentioning

confidence: 99%

Spatial Modulation Aided Zero-Padded Single Carrier Transmission for Dispersive Channels

Rajashekar

Hari

Hanzo

2013

IEEE Trans. Commun.

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Abstract-In this paper, we consider spatial modulation (SM) operating in a frequency-selective single-carrier (SC) communication scenario and propose zero-padding instead of the cyclicprefix considered in the existing literature. We show that the zeropadded single-carrier (ZP-SC) SM system offers full multipath diversity under maximum-likelihood (ML) detection, unlike the cyclic-prefix based SM system. Furthermore, we show that the order of ML detection complexity in our proposed ZP-SC SM system is independent of the frame length and depends only on the number of multipath links between the transmitter and the receiver. Thus, we show that the zero-padding applied in the SC SM system has two advantages over the cyclic prefix: 1) achieves full multipath diversity, and 2) imposes a relatively low ML detection complexity. Furthermore, we extend the partial interference cancellation receiver (PIC-R) proposed by Guo and Xia for the detection of space-time block codes (STBCs) in order to convert the ZP-SC system into a set of narrowband subsystems experiencing flat-fading. We show that full rank STBC transmissions over these subsystems achieves full transmit, receive as well as multipath diversity for the PIC-R. Furthermore, we show that the ZP-SC SM system achieves receive and multipath diversity for the PIC-R at a detection complexity order which is the same as that of the SM system in flat-fading scenario. Our simulation results demonstrate that the symbol error ratio performance of the proposed linear receiver for the ZP-SC SM system is significantly better than that of the SM in cyclic prefix based orthogonal frequency division multiplexing as well as of the SM in the cyclic-prefixed and zero-padded single carrier systems relying on zero-forcing/minimum mean-squared error equalizer based receivers.

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Spatial modulation and physical layer network coding based bidirectional relay network with transmit antenna selection over Nakagami‐m fading channels

Rajesh

Velmurugan

Thiruvengadam

et al. 2018

Int J Communication

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In this paper, a high data rate bidirectional relay network is proposed by combining the merits of spatial modulation (SM) and physical layer network coding. All nodes in the network are equipped with multiple antennas. Spatial modulation technique is used to reduce hardware complexity and interchannel interference by activating only one antenna at any time during transmission. In the proposed bidirectional relay network, transmit antennas are selected at the source nodes and relay node on the basis of the order statistics of channel power. It increases received signal power and provides a significant improvement in the outage performance. Also, the data rate of the proposed network is improved by physical layer network coding at the relay node. A closed form analytical expression for the outage probability of the network over Nakagami-m fading channel is derived and validated by Monte Carlo simulations. In addition, asymptotic analysis is investigated at high signal-to-noise ratio region.The outage performance of the proposed network is compared with SM and physical layer network coding bidirectional relay network without transmit antenna selection and point-to-point SM. With approximate SNR≈1 dB difference between the two networks, the same data rate is achieved. KEYWORDSdecode and forward, Nakagami-m fading channel, physical layer network coding, spatial modulation, transmit antenna selection | INTRODUCTIONThe demand for high data rate and better quality of service is of the utmost importance in next-generation wireless communication systems. The recently proposed spatial modulation (SM) has attracted a great deal of attention in the past few years in 5G wireless networks. 1 In SM, the information bits are partitioned into two streams of which one is mapped to the symbol and the other is used to activate a particular antenna out of all transmit antennas. 2 Therefore, information is carried not only by the symbol but also by the antenna index. When the information bits are transmitted solely through the transmit antenna index, SM is reduced to space shift keying (SSK). 3 Spatial modulation eliminates the synchronization between the transmit antennas and interchannel interference because only one antenna is active during transmission. Hence, only one radio frequency (RF) chain is required in SM because of single antenna transmission at any transmission time slot. Besides these advantages, SM 4 may be flexibly configured for diverse transmit and receive antenna constellations. In multiple-input multiple-output (MIMO) systems, the error performance is directly related to interantenna interference, synchronization, and a significant amount of power consumed due to the number of transmitting RF chains. Studies on SM 5,6 have shown that it is capable of outperforming MIMO transmission techniques with practical implementation constraints. Spatial modulation in previous literatures 7-9 has been proved as an efficient low complexity and energy efficient transmission technique to improve the spectral efficiency and bandw...

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A New Low-Complexity Near-ML Detection Algorithm for Spatial Modulation

Cited by 74 publications

References 12 publications

Low-complexity soft-decision aided detectors for coded spatial modulation MIMO systems

Low-complexity soft-decision aided detectors for coded spatial modulation MIMO systems

Spatial Modulation Aided Zero-Padded Single Carrier Transmission for Dispersive Channels

Spatial modulation and physical layer network coding based bidirectional relay network with transmit antenna selection over Nakagami‐m fading channels

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