Generalized Precoding-Aided Quadrature Spatial Modulation

Li, Jun; Wen, Miaowen; Cheng, Xiang; Yan, Yier; Song, Sang Seob; Lee, Moon Ho

doi:10.1109/tvt.2016.2565618

Cited by 157 publications

(82 citation statements)

References 22 publications

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“…3, the two-stage soft-input soft-output (SISO) decoder is employed for iteratively exchanging soft extrinsic information in the form of Log Likelihood Ratios (LLRs) between the CS-aided OFDM-STSK-IM soft decoder and the RSC decoder [1]. Specifically, during each inner-outer decoding iteration 4 , the output LLRs of the soft decoder shown in Fig. 3 are deinterleaved by the deinterleaver to produce the soft information fed into the RSC decoder as a priori LLRs.…”

Section: B Detection Of the Proposed Systemmentioning

confidence: 99%

“…Compared to the conventional spatial modulation (SM) [3] [4] and space-shift keying (SSK) [5], STSK exhibits both transmit and receive diversity gains instead of only attaining receive diverity gain, as in SM and SSK. Namely, STSK spreads information to both the spatial and time dimensions, where the information is mapped to the classic L-PSK/QAM symbols and additional information is transmitted by activating one out of Q dispersion matrices (DM) [1] [2].…”

Section: Introductionmentioning

confidence: 99%

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Compressed-Sensing-Aided Space-Time Frequency Index Modulation

Hemadeh

El‐Hajjar

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-In space-time shift keying (STSK), the information is conveyed by both the spatial and time dimensions, which can be used to strike a trade-off between the diversity and multiplexing gains. On the other hand, orthogonal frequency division multiplexing (OFDM) relying on index modulation (IM) conveys information not only by the conventional signal constellations as in classical OFDM, but also by the indices of the subcarriers. In this paper, we combine the benefits of STSK and IM in order to strike a flexible trade-off between the throughput and bit-error performance by transmitting extra information bits in each subcarrier block, whilst increasing the diversity order. In order to further improve this trade-off, as well as to decrease the complexity of the detector, compressed sensing (CS) is combined with the proposed STSK-aided IM system. We first present the Maximum LikeLihood (ML) detection, which forms the best-case bound on the proposed system's performance. Then we propose a pair of reduced-complexity detection algorithms capable of approaching the ML detector's performance. Furthermore, in order to attain a near capacityperformance, we propose a soft-input soft-output (SISO) decoder that is capable of exchanging soft-information with a channel decoder through iterative decoding.

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Section: B Detection Of the Proposed Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Compressed-Sensing-Aided Space-Time Frequency Index Modulation

Hemadeh

El‐Hajjar

et al. 2018

IEEE Trans. Veh. Technol.

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“…The system model for an RQSSK receiver is depicted in Figure . RQSSK expands on RSSK by adding a quadrature dimension to the in‐phase one, thus expanding the spatial constellation diagram and enhancing the spectral efficiency . As in RSSK, there is no need for an explicit RF chain in RQSSK.…”

Section: Receiver Designs For Different Rsmtsmentioning

confidence: 99%

“…This paper contributes to existing theories by proposing receiver designs for the variant RSMTs including receive space shift keying (RSSK), RSM, receive quadrature SSK (RQSSK), and receive quadrature SM (RQSM) . We refer to the family of designs as RSMTs.…”

Section: Introductionmentioning

confidence: 99%

Hardware designs and analysis for variant receive space modulation techniques

Hiari

Mesleh

2018

Trans Emerging Tel Tech

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Hardware designs for variant receive space modulation techniques (RSMTs) containing a reduced number of hardware components are proposed in this study. RSMTs rely on precoding of transmitted signals through channel knowledge at the transmitter to spatially modulate the receive antennas. As such, certain receive antennas will only receive messages while all other antennas will not receive any signal. It has been debated in literature that different RSMTs can be designed with single radio frequency (RF) chain receiver. Yet, practical designs are not yet available in literature. In this paper, a family of receiver designs for RSMTs based on commercial off‐the‐shelf components (COTS) are proposed and analyzed. Average error probability, power consumption, cost, and receiver complexity of the different techniques are presented and discussed. Additionally, Simulink models for all these systems are developed and presented. It is revealed that all RSMTs, in fact, do not require more than a single RF chain receiver or in some cases no RF chain, just by utilizing COTS components.

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“…It should be noted that these schemes have roughly the same BER performance as the basic SM scheme, but with the advantage of doubling the number of bits that can be transmitted in the spatial constellation, which results in an improved spectral efficiency (SE). This technique has motivated a new study that is oriented to improve the system performance while reducing the detection complexity [9], [10]. However, the number of Tx antennas required for the QSM scheme is still much higher than that required by the conventional SMux scheme, especially when high spatial constellations are considered.…”

Section: Introductionmentioning

confidence: 99%

Generalized Quadrature Spatial Modulation Scheme Using Antenna Grouping

Castillo-Soria¹,

Cortez²,

Ramirez-Gutierrez³

et al. 2017

ETRI Journal

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This paper presents a novel generalized quadrature spatial modulation (GQSM) transmission scheme using antenna grouping. The proposed GQSM scheme combines QSM and conventional spatial multiplexing (SMux) techniques in order to improve the spectral efficiency (SE) of the system. Analytical and simulation results show that the proposed transmission scheme has minimal losses in terms of the average bit error probability along with the advantage of an increased SE compared with previous SM and QSM schemes. For the case studies, this advantage represents a reduction of up to 81% in terms of the number of required transmit antennas compared with QSM. In addition, a detection architecture based on the ordered successive interference cancellation scheme and the QR decomposition is presented. The proposed QRD-M adaptive algorithm showed a near-maximumlikelihood performance with a complexity reduction of approximately 90%.

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Generalized Precoding-Aided Quadrature Spatial Modulation

Cited by 157 publications

References 22 publications

Compressed-Sensing-Aided Space-Time Frequency Index Modulation

Compressed-Sensing-Aided Space-Time Frequency Index Modulation

Hardware designs and analysis for variant receive space modulation techniques

Generalized Quadrature Spatial Modulation Scheme Using Antenna Grouping

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