Media‐based single‐symbol generalized spatial modulation

Oladoyinbo, S.; Pillay, Narushan; Xu, Hongjun

doi:10.1002/dac.3909

Cited by 5 publications

(8 citation statements)

References 18 publications

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“…In recent years, mainly detection performance of IM‐based systems is investigated in 14–24 rather than realistic channel estimation performance. In Shamasundar and Chockalingam, 14 multiuser MBM performance in a massive MIMO setting is investigated through compressed sensing (CS)‐based algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…However, this work is further developed including SM concept in Yigit and Basar 18 by presenting the corresponding error probability. The system performance of MBM with generalized SM is investigated in Naresh and Chockalingam 19 and Oladoyinbo et al 20 However, the authors extend their work on performance analysis considering the maximum likelihood (ML) detectors under imperfect channel state information (I‐CSI) assumption in Naresh and Chockalingam 21 . In Shamasundar et al, 22 MBM for the uplink massive MIMO systems is focused where CS‐based detection algorithms are applied.…”

Section: Introductionmentioning

confidence: 99%

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High mobility enabled spatial and media‐based modulated orthogonal frequency division multiplexing systems for beyond 5G wireless communications

Başaran

Başar

Çırpan

2022

Int J Communication

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This paper introduces the concept of spatial and media-based modulated (SMBM) orthogonal frequency division multiplexing (OFDM) as a potential candidate for highly mobile next generation beyond 5G (B5G) wireless communications. The proposed SMBM-OFDM technique utilizes not only the transmit antenna and channel state indices but also OFDM subcarriers to improve the system performance under high mobility. In addition, this study sheds light on challenging fast time-varying channel estimation problem of MBM-based systems by using the linear minimum mean square error (LMMSE) approach due to its optimality to investigate the achievable system performance with the aid of basis expansion modeling. The minimum lower bound on the channel estimation error (Bayesian Cramer-Rao bound) is derived theoretically and shown to be attainable by the considered LMMSE estimator. Moreover, symbol detection performance is provided for different modulation types and higher mobile velocities. Simulation results demonstrate that SMBM-OFDM system under high mobility is able to provide around 12-dB performance gains in terms of both channel estimation and symbol detection error compared to conventional spatial modulation (SM)-OFDM systems without MBM. The presented framework is important due to addressing the high mobility support of SMBM-OFDM systems for B5G wireless communications in terms of achievable channel estimation and data detection performance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High mobility enabled spatial and media‐based modulated orthogonal frequency division multiplexing systems for beyond 5G wireless communications

Başaran

Başar

Çırpan

2022

Int J Communication

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“…Therefore, researches recently proposes new technologies that enhance or even flips the traditional way of implementing communication systems. As an example, exploiting other dimensions such as spatial domain [6][7][8][9][10]. Since the application of OFDM (orthogonal frequency division multiplexing) technique, wireless transceivers perform much better than traditional transceiver systems because of multicarrier over single carrier advances.…”

Section: Introductionmentioning

confidence: 99%

A simplified spatial Modulation MISO-OFDM scheme

Al-Doori

Al-Hemiary

2020

TELKOMNIKA

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Index modulation is one of the promising techniques for future communications systems due to many improvement over the classical orthogonal frequency division multiplexing systems such as single RF chain, increased throughput for the same modulation order, achieved tradeoff between the efficiencies of the power and the spectral, and elimination of inter-channel interference. Many forms of index modulation researches exist where symbols are conveyed in antennas, subcarriers, time slots, and the space-time matrix. Spatial modulation is one member of index modulation family where symbols are conveyed in activating transmit/receive antennas. In this paper, a modification to a standard multiple input single output scheme by integrating spatial modulation using simplified mathematical procedure is achieved. In the transmitter side, data and activation symbols are distributed simultaneously using mathematical module and floor functions. At the receiver, a simplified maximum likelihood detector is used to obtain transmitted pair of symbols. To verify this, MATLAB simulink is used to simulate a downlink system where spatial modulation is applied to a base station. Results for different transmit antenna number and modulation order are obtained in the form of bit error rate versus signal to noise ratio.

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“…The constellation design for this system with an arbitrary number of antenna groups is investigated in Reference [ 38 ]. To increase the spectral efficiency, an antenna grouping combined with QSM was recently proposed in Reference [ 39 , 40 ]. In the sequel, the systems in Reference [ 35 , 36 , 39 , 40 ] are referred to as parallel SM (PSM) and parallel QSM (PQSM), respectively.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation

Mohaisen

Holoubi

Abuhmed

2020

Entropy

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Spatial modulation (SM) is a multiple-input multiple-output (MIMO) technique that achieves a MIMO capacity by conveying information through antenna indices, while keeping the transmitter as simple as that of a single-input system. Quadrature SM (QSM) expands the spatial dimension of the SM into in-phase and quadrature dimensions, which are used to transmit the real and imaginary parts of a signal symbol, respectively. A parallel QSM (PQSM) was recently proposed to achieve more gain in the spectral efficiency. In PQSM, transmit antennas are split into parallel groups, where QSM is performed independently in each group using the same signal symbol. In this paper, we analytically model the asymptotic pairwise error probability of the PQSM. Accordingly, the constellation design for the PQSM is formulated as an optimization problem of the sum of multivariate functions. We provide the proposed constellations for several values of constellation size, number of transmit antennas, and number of receive antennas. The simulation results show that the proposed constellation outperforms the phase-shift keying (PSK) constellation by more than 10 dB and outperforms the quadrature-amplitude modulation (QAM) schemes by approximately 5 dB for large constellations and number of transmit antennas.

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Media‐based single‐symbol generalized spatial modulation

Cited by 5 publications

References 18 publications

High mobility enabled spatial and media‐based modulated orthogonal frequency division multiplexing systems for beyond 5G wireless communications

High mobility enabled spatial and media‐based modulated orthogonal frequency division multiplexing systems for beyond 5G wireless communications

A simplified spatial Modulation MISO-OFDM scheme

Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation

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