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

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

doi:10.1109/tits.2020.3006482

Cited by 62 publications

(37 citation statements)

References 49 publications

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“…Figure 10 shows the BER performance of RC-mGQSM scheme with low-complexity detection method. 30 We consider 4 by 4 system model with N T ¼ 4, N R ¼ 4, and N C ¼ 2. By comparing the performance of the RC-mGQSM system with optimal ML detection and low-complexity detection methods, we noticed that the performance of the RC-mGQSM with low-complexity detection degrades by 1.5-dB SNR when compared to the performance of the RC-mGQSM with ML detection at BER of 10 À3 .…”

Section: Simulation Resultsmentioning

confidence: 99%

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Modified generalized quadrature spatial modulation performance over Nakagami‐m fading channel

Gunde

Anuradha

2021

Int J Communication

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The modified generalized quadrature spatial modulation (mGQSM) scheme is introduced to improve the transmission rate of the spatial modulation (SM) and quadrature SM (QSM). In mGQSM, the information symbols are separated as real and imaginary coefficients, which are modulated on in-phase and quadrature dimensions, respectively. In addition, this scheme presented a novel codebook design to enhance the rate of 1 bit per channel use over generalized QSM (GQSM). In this paper, we present mGQSM and reduced codebook mGQSM (RC-mGQSM) system performances over Nakagami-m, Rayleigh, and Rician fading channels. However, the Rayleigh fading is a special case of Nakagami-m fading when m = 1. For the computer simulations, we use several values for the Nakagami parameter, m, and Rician factor, K. We present the mGQSM and RC-mGQSM system performances and compare them to the GQSM, QSM, and SM system performances, using the maximum-likelihood (ML) detection. For the RC-mGQSM scheme, we present a low-complexity detection method. We also present the performances of mGQSM and SM systems in the presence of imperfect channel conditions.

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Section: Simulation Resultsmentioning

confidence: 99%

“…The computational complexity of the optimal ML detection rule is high when compared to the sub-optimal detection rules. In this section, we use zero forcing (ZF) based detection method which was proposed in Li et al 30 Rewrite the received signal into real and imaginary parts as follows:…”

Section: Low-complexity Detectionmentioning

confidence: 99%

Modified generalized quadrature spatial modulation performance over Nakagami‐m fading channel

Gunde

Anuradha

2021

Int J Communication

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“…Now, in the presence of channel estimation error, i.e., if ϱ ≠ 1, then ς ⟶ ς ⋆ = ð1 − ϱÞkxk 2 , because N 0 = 1/η approaches zero as η ⟶ +∞. According to ς = ς ⋆ , the asymptotic ABEP can be derived by putting ( 18) into (19) as…”

Section: Analysis Of Asymptotic Abepmentioning

confidence: 99%

“…A low-complexity detection algorithm for index modulation multiple access (IM-MA) has been studied in [18]. In [19], a generalized QSM (GQSM) system to further increase the SE of QSM with a lowcomplexity detector as well as cooperative GQSM with OMA (C-OMA-GQSM) and cooperative GQSM with NOMA (C-NOMA-GQSM) schemes has been proposed. In [20][21][22], trellis-coded SM (TCSM) and space-time block coding SM (STBC-SM) schemes have been explored to increase the transmission diversity order of SM.…”

Section: Introductionmentioning

confidence: 99%

Virtual Spatial Channel Number and Index Modulation

Iqbal

Liu

2021

Wireless Communications and Mobile Computing

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This paper proposes a novel precoding-aided and efficient data transmission scheme called virtual spatial channel number and index modulation (VS-CNIM), which conveys extra data by changing both the number and index of active virtual parallel channels of multiple-input multiple-output (MIMO) channels, obtained through the singular value decomposition (SVD) in each time slot. Unlike the conventional virtual spatial modulation (VSM), where extra data bits are transmitted only using index of active virtual parallel channels, the VS-CNIM scheme, depending on incoming information bits, transmits extra bits utilizing both the number and indices of active parallel channels along the bits carried by M -ary constellation symbols. Therefore, VS-CNIM provides significantly superior spectral efficiency (SE) compared to VSM. Considering the influence of imperfect channel estimation, a closed-form upper bound is derived on average bit error probability (ABEP). The asymptotic performance is also analyzed, which gives the coding gain and diversity order and describes error floor under the consideration of perfect and imperfect channel estimation, respectively. Monte Carlo simulations exhibit that the VS-CNIM scheme achieves considerably better error performance and high SE than precoding-aided SM (PSM) and VSM schemes.

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“…In addition, the high-accuracy nature of the proposed method is able to accelerate the promotion of EVs and the establishment of intelligent transportation environments. With the rapid developments of intelligent algorithms, information and communications technology (ICT) for the automobile industry [14]- [18], and with the applications of 5G wireless technologies for traffic control and optimization [19]- [21], it is expected that there will be a large number of intelligent EVs and electrical appliances that can benefit from the proposed mechanical fault diagnosis method. and with the application of 5G network in traffic ,it is expected that there will be a large number of intelligent EVs and electrical appliances that can benefit from the proposed mechanical fault diagnosis method.…”

Section: Introductionmentioning

confidence: 99%

Multi-Feature Fusion-Based Mechanical Fault Diagnosis for On-Load Tap Changers in Smart Grid With Electric Vehicles

Yan

Wen

et al. 2021

IEEE Sensors J.

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With the proliferation of electric vehicles (EVs), the supporting facilities and infrastructure become new components in conjunction with conventional electrical appliances. These novel appliances, e.g., charging piles and energy storage devices, bring new features as well as challenges to the existing power grid. To enhance the accuracy of mechanical fault identification for on-load tap changers (OLTCs) in smart grid with EVs, a feature selection method for OLTC mechanical fault identification is proposed in this paper. This method relies on the multi-feature fusion and the joint application of the K-nearest neighbors algorithm (KNN) and the improved whale optimization algorithm (IWOA). By multi-feature fusion, the high-dimensional set of time-domain and frequencydomain characteristics as well as energy and composite multi-scale permutation entropy can be constructed. As a result, the maximum correlation minimum redundancy (mRMR) principle can be used to screen the sensitive feature subsets. Finally, IWOA is used to optimize the sensitive feature subsets, and KNN is used to classify the different types of optimal feature subsets. The experimental results show that the proposed method is at least 8% more accurate than the existing methods. The high-accuracy nature of the proposed method can accelerate the promotion of EVs and the establishment of intelligent transportation environments.

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

Cited by 62 publications

References 49 publications

Modified generalized quadrature spatial modulation performance over Nakagami‐m fading channel

Modified generalized quadrature spatial modulation performance over Nakagami‐m fading channel

Virtual Spatial Channel Number and Index Modulation

Multi-Feature Fusion-Based Mechanical Fault Diagnosis for On-Load Tap Changers in Smart Grid With Electric Vehicles

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