Sparse detection with orthogonal matching pursuit in multiuser uplink quadrature spatial modulation MIMO system

Adnan, Saifullah; Fu, Yuli; Junejo, Naveed Ur Rehman; Chen, Zhen; Esmaiel, Hamada

doi:10.1049/iet-com.2019.0321

Cited by 15 publications

(10 citation statements)

References 40 publications

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“…The BER results of proposed coded and noncoded cooperation based on SPA-based joint iterative decoding over a Rayleigh fading channel are given in Figure 10. The relevant parameters for the component QC-LDPC code C (4) qc adopted for proposed coded cooperation are given in Table 2, where the overall code rate is 7=8. Simulation results show that the proposed coded cooperations outperform the non-coded cooperation by providing a prominent coding gain.…”

Section: Performance Of Proposed Jointly Designed Qc-ldpccoded One-rementioning

confidence: 99%

“…To solve this critical problem, cooperative communication, also known as virtual MIMO, is determined where the devices with single antenna terminals can share their antennas to acquire multiplexing gain and diversity. [3][4][5] Therefore, virtual MIMO has been adopted by many wireless communication systems (e.g. wireless sensor networks, ad hoc networks).…”

Section: Introductionmentioning

confidence: 99%

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Jointly designed quasi-cyclic LDPC-coded cooperation with diversity combining at receiver

Asif

Zhou

et al. 2020

International Journal of Distributed Sensor Networks

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This correspondence proposes a jointly-designed quasi-cyclic (QC) low-density parity-check (LDPC)-coded multi-relay cooperation with a destination node realized by multiple receive antennas. First, a deterministic approach is utilized to construct different classes of binary QC-LDPC codes with no length-4 cycles. Existing methods put some limitations in terms of code length and rate in order to provide high error-correction performance. Therefore, this article gives three classes of QC-LDPC codes based on a combinatoric design approach, known as cyclic difference packing (CDP), with flexibility in terms of code-length and rate selection. Second, the proposed CDP-based construction is utilized to jointly-design QC-LDPC codes for coded-relay cooperation. At the receiver, the destination node is realized by multiple receive antennas, where maximal-ratio combining (MRC) and sum-product algorithm (SPA)-based joint iterative decoding are utilized to decode the corrupted sequences coming from the source and relay nodes. Simulation results show that the proposed QC-LDPC coded-relay cooperations outperform their counterparts with a coding gain of about 0.25 dB at bit-error rate (BER) [Formula: see text] over a Rayleigh fading channel in the presence of additive white Gaussian noise. Furthermore, the extrinsic-information transfer (EXIT) chart analysis has been used to detect the convergence threshold of proposed jointly-designed QC-LDPC codes. Numerical analysis shows that the proposed jointly-designed QC-LDPC codes provide a better convergence as compared to their counterparts under the same conditions.

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Section: Performance Of Proposed Jointly Designed Qc-ldpccoded One-rementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Jointly designed quasi-cyclic LDPC-coded cooperation with diversity combining at receiver

Asif

Zhou

et al. 2020

International Journal of Distributed Sensor Networks

Self Cite

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“…This can be treated as a convex optimization problem [7], but its solution is considered computationally expensive. To reduce the computational cost, a family of greedy methods which exploits the sparsity structure of the transmitting antenna vector has been used [8], [9], [10]. The use of these methods varies according to the architecture.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Algorithm for Full-Array Antenna Selection based on Matching Pursuit

Gois¹,

Ferreira²

2021

Anais Do XXXIX Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Massive MIMO systems have received a growing interest since the apogee of 5G and the perspective of 6G. Massive MIMO allows an efficient usage of spectral resources and provides higher data rates. When the number of antennas increases, the energy consumption and the hardware cost in the base station also increase. The high energy consumption and processing may be addressed through the selection of antennas. Among various possible structures in the literature, the present work proposes the combination of full-array architecture to make a virtual sectorization and antenna selection using matching pursuit. The algorithm was tested in different channels with complexity reduction in our tests while maintaining bit-error rate in most scenarios.

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“…If all the supporting elements are found accurately, then the columns of the observation matrix corresponding to the supporting elements can be taken out to transform the original underdetermined system into overdetermined system, and the original signal can be recovered directly by using MMSE or least square conventional estimation scheme estimator. In [14,15], the algorithm of orthogonal matching pursuit (OMP) is introduced.…”

Section: Introductionmentioning

confidence: 99%

An Improved CoSaMP Multiuser Detection for Uplink Grant Free NOMA System

Adnan¹,

Fu²,

Bhutto³

et al. 2020

IJACSA

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Non-Orthogonal Multiple Access (NOMA) is the most prominent technology that enhances massive connectivity and spectral efficiency in 5G cellular communication. It provides services to the multi-users in time, frequency, and code domain with significant power level. Message Passing Algorithm (MPA) detection in a multiuser uplink grant-free system requires user activity information at the receiver that makes it impractical. To circumvent this problem, (MPA) is combined with Compressed Sensing (CS) based detection which not only detects the user activity but also the signal data. However, the Compressive Sampling Matching pursuit (CoSaMP) algorithm uses Zero Forcing (ZF) detector to estimate the signal but its performance degrades with increment in Signal to Noise Ratio (SNR). Therefore, Minimum Mean Square Error (MMSE) detector in CoSaMP algorithm is deployed in this paper that enhances detection accuracy and BER performance. The simulation results validate that the proposed algorithm attains better performance than MPA and conventional CoSaMP algorithm in high SNR.

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Sparse detection with orthogonal matching pursuit in multiuser uplink quadrature spatial modulation MIMO system

Cited by 15 publications

References 40 publications

Jointly designed quasi-cyclic LDPC-coded cooperation with diversity combining at receiver

Jointly designed quasi-cyclic LDPC-coded cooperation with diversity combining at receiver

Low-Complexity Algorithm for Full-Array Antenna Selection based on Matching Pursuit

An Improved CoSaMP Multiuser Detection for Uplink Grant Free NOMA System

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