Efficient frequency‐domain channel equalisation methods for OFDM/OQAM‐PON with intensity modulation and direct detection

Lin, Bangjiang; Tang, Xuan; Fang, Xi; Wu, Yi; Li, Hui

doi:10.1049/iet-com.2016.1029

Cited by 14 publications

(6 citation statements)

References 21 publications

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“…From the results of the random search, we can find that most of the generated sensing matrices have similar performance with the same criterion. Hence, the performance of MAGA and artificial fish swarms algorithm (AFSA) [45] in the pilot search problem are shown for comparison. The standard deviation in each iteration of the MAGA and AFSA is large, which can be easy to trap in local optimum without additional processing.…”

Section: A Papr Improvement and Simulationmentioning

confidence: 99%

Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

Zhang

Gao

et al. 2020

IEEE Access

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In this paper, we investigate the channel estimation and decoding methods exploiting the channel sparsity in pilot-assisted Multiple-Input Multiple-Output (MIMO) Vector Orthogonal Frequency Division Multiplexing (V-OFDM) systems. Based on the sparse multipath channels, we utilize orthogonal and non-orthogonal pilot schemes to design the compressed sensing (CS) measurement process. For the optimization of the sensing matrix, we discuss the influence of pilot search algorithms and evaluation criteria and propose a particle swarm optimization (PSO) based pilot search algorithm with the simplified evaluation criterion to improve the pilot design procedure. Meanwhile, the effect of pilot insertion on the Peak-to-Average Power Ratio (PAPR) is reduced by a particular precoding matrix method without affecting the decoding complexity. Simulation data are used to evaluate the classical sparsity adaptive matching (SAMP) algorithms and the proposed Variable Threshold SAMP (VTSAMP) algorithm, and the results show that the improved method has higher channel estimation accuracy with unknown sparsity. On the other hand, to overcome the complexity of CS-based decoding, we design the fully connected Deep Neural Network (FC-DNN) decoders, which combine the results of channel estimation results with the prevalent neural network technology. We observe that when the sparse channels are estimated accurately by CS methods, the proposed FC-DNN can achieve the same performance as the high-precision linear decoder by using the time-domain pilots and channel estimation results. INDEX TERMS MIMO, OFDM, compressed sensing, channel estimation, peak to average power ratio, decoding, neural networks.

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Section: A Papr Improvement and Simulationmentioning

confidence: 99%

Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

Zhang

Gao

et al. 2020

IEEE Access

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“…According to the configurations, it can be known that the central frequencies of the four optical signals are 193.18 THz,193.15 THz,193.12 THz,and 193.09 THz, respectively. Consequently, according to the equation (11), as shown at the bottom of this page, it can be obtained that the simplified central frequencies of the eight RF signals are:…”

Section: Analysis and Verificationmentioning

confidence: 99%

A Tunable Wireless Multicarrier Communication Employing Multiple Vector Modulation With 4QAM-OFDM on a Single Optical Carrier

Zhou

Huang

et al. 2019

IEEE Access

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A wireless communication system with tunable multicarrier based on optical comb is investigated in this paper. This study is an initial attempt to modulate multiple vector microwave signals with different frequency on a single optical carrier, and then transmit these optical signals over a standard singlemode fiber with the length of 30 km, and finally demodulate them at the remote unit via a photoelectric direct detector without strict frequency-phase synchronization. Such a design can decrease the equipment cost and improve the frequency efficiency. In the transmitting terminal unit (TTU), a flat multi-wavelength optical comb with 13 channels and the channel space of 10 GHz can be obtained by the microwave photonics technology. In the radio-frequency remote unit (RRU), we can not only obtain the wireless carriers with the frequency of 5 GHz, 10 GHz, 35 GHz, 40 GHz, 65 GHz, 70 GHz, 95 GHz, and 100 GHz via a photoelectric direct detector that are used for wireless transmission between the mobile terminal and the radio-frequency remote unit, but also get three optical sources that can be utilized for the uplink. Meanwhile, the wireless access rate can reach up to 20 Gbps between RRU and MT. In this arrangement, compared with a conventional microwave photonics link, the optical spectrum utilization efficiency and transmission rate not only can be doubled, but also the maintenance cost of RRU can be reduced greatly.

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“…3). We firstly estimate the channel merely use the pilot symbols {x j , j ∈ P}, denoted as initial iteration, which corresponds to lines (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14).…”

Section: Message Passing Schedulementioning

confidence: 99%

“…Orthogonal frequency division multiplexing (OFDM) has achieved great success in wireless communications due to its high spectral efficiency and resilience in combating multi-path distortion [1][2][3]. As receivers with joint channel estimation and decoding (JCED) can achieve much better performance than conventional receivers where channel estimation and decoding are separated, the design of the JCED OFDM receivers has attracted much attention in the literature [4][5][6][7][8][9], which is also the focus of this work.…”

Section: Introductionmentioning

confidence: 99%

Joint spare channel estimation and decoding for orthogonal frequency division multiplexing using combined message passing

et al. 2018

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Efficient frequency‐domain channel equalisation methods for OFDM/OQAM‐PON with intensity modulation and direct detection

Cited by 14 publications

References 21 publications

Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

Pilot-Assisted MIMO-V-OFDM Systems: Compressed Sensing and Deep Learning Approaches

A Tunable Wireless Multicarrier Communication Employing Multiple Vector Modulation With 4QAM-OFDM on a Single Optical Carrier

Joint spare channel estimation and decoding for orthogonal frequency division multiplexing using combined message passing

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