Implementation of CMOS-based Photo Diode for High-Efficiency end-to-end Communication and Enhanced Bit Error Rate

AbstractIn this paper, a new detection technique called modified single photo-diode (MSPD) detection for SAC-OCDMA system is proposed. The proposed system based on the single photo-diode (SPD) detection technique. The new detection technique is proposed to overcome the limitation of phase-induced intensity noise (PIIN) in SPD detection technique. However, the proposed detection is based on an optical hard limiter (OHL) followed by a SPD and a low-pass filter (LPF) in order to suppress the phase intensity noise (PIIN) at the receiver side. The results show that the MSPD detection based on OHL has a good performance even when the transmission distance is long, which is different from the case of SPD detection technique. Therefore, the MSPD detection technique is shown to be effective to improve the bit error rate (BER<10

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Bit-Error-Rate Evaluation of High-Efficiency Differential-Chaos-Shift-Keying System Over Wireless Channels

Journal of Circuits System and Computers ◽

10.1142/s0218126618500081 ◽

2017 ◽

Vol 27 (01) ◽

pp. 1850008 ◽

Cited By ~ 1

Author(s):

Nguyen Xuan Quyen

Keyword(s):

Bit Error Rate ◽

Error Rate ◽

Wireless Channels ◽

High Efficiency ◽

Wireless Channel ◽

Delay Spread ◽

Shift Keying ◽

Chaos Shift Keying ◽

Differential Chaos Shift Keying ◽

Ber Performance

A high-efficiency differential-chaos-shift-keying (HE-DCSK) system has been proposed previously for the improvement of both bit-rate and bit-error-rate (BER) performance in comparison with the conventional DCSK system. This improvement made HE-DCSK be a promising solution for chaos-based communications. However, the performance of this system was just investigated under an additive white Gaussian noise (AWGN) channel. This is main motivation for our work to evaluate the performance of HE-DCSK over a typical wireless channel which is simultaneously affected by white noise, fading, multipath, and delay spread. The operation of the transmitter and receiver over the wireless channel is modeled and described. The BER performance is evaluated by theoretical analysis using Gaussian approximation and discrete integration. The numerical results obtained by Monte Carlo simulations are presented to verify the analyzed performance. Obtained results point out that the HE-DCSK system not only performs better than other DCSK-based ones under wireless channels but also can exploit the multipath characteristic to improve the performance.

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An Improved End-to-End Autoencoder Based on Reinforcement Learning by Using Decision Tree for Optical Transceivers

Micromachines ◽

10.3390/mi13010031 ◽

2021 ◽

Vol 13 (1) ◽

pp. 31

Author(s):

Qianwu Zhang ◽

Zicong Wang ◽

Shuaihang Duan ◽

Bingyao Cao ◽

Yating Wu ◽

...

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Decision Tree ◽

Bit Error Rate ◽

Error Rate ◽

Forward Error Correction ◽

Adaboost Algorithm ◽

End To End ◽

Learning By Using ◽

Optical Transceivers

In this paper, an improved end-to-end autoencoder based on reinforcement learning by using Decision Tree for optical transceivers is proposed and experimentally demonstrated. Transmitters and receivers are considered as an asymmetrical autoencoder combining a deep neural network and the Adaboost algorithm. Experimental results show that 48 Gb/s with 7% hard-decision forward error correction (HD-FEC) threshold under 65 km standard single mode fiber (SSMF) is achieved with proposed scheme. Moreover, we further experimentally study the Tree depth and the number of Decision Tree, which are the two main factors affecting the bit error rate performance. Experimental research afterwards showed that the effect from the number of Decision Tree as 30 on bit error rate (BER) flattens out under 48 Gb/s for the fiber range from 25 km and 75 km SSMF, and the influence of Tree depth on BER appears to be a gentle point when Tree Depth is 5, which is defined as the optimal depth point for aforementioned fiber range. Compared to the autoencoder based on a Fully-Connected Neural Network, our algorithm uses addition operations instead of multiplication operations, which can reduce computational complexity from 108 to 107 in multiplication and 106 to 108 in addition on the training phase.

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Performance analysis of an orbital angular momentum multiplexed amplify-and-forward radio relay chain with inter-modal crosstalk

Royal Society Open Science ◽

10.1098/rsos.181063 ◽

2019 ◽

Vol 6 (1) ◽

pp. 181063 ◽

Cited By ~ 2

Author(s):

B. Allen ◽

D. Simmons ◽

T. D. Drysdale ◽

J. Coon

Keyword(s):

Angular Momentum ◽

Performance Analysis ◽

Orbital Angular Momentum ◽

Bit Error Rate ◽

Error Rate ◽

Data Streams ◽

Spectral Efficiency ◽

Amplify And Forward ◽

Parallel Data ◽

End To End

The end-to-end spectral efficiency and bit error rate (BER) of an amplify-and-forward (AF) radio relay chain employing orbital angular momentum (OAM) multiplexing is presented. The inherent divergence of a beam carrying OAM is overcome by means of a lens. Modelled and measured inter-modal crosstalk levels are incorporated into the analysis. The results show that an end-to-end spectral efficiency of up to 8 bits s −1 Hz −1 is achievable using four OAM modes to multiplex four parallel data streams over 20 hops, provided that the detrimental effects of inter-modal crosstalk are mitigated. The spectral efficiency is expected to scale further by using more OAM modes. The BER profile along the relay chain is analysed for each of the four OAM modes.

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Bit error rate performance analysis of AC-MAP in multiple input single output wireless relay network

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-019-1633-8 ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

Taha A. Khalaf ◽

Hazem Mohammed

Keyword(s):

Closed Form ◽

Bit Error Rate ◽

Error Rate ◽

Relay Network ◽

Closed Form Expression ◽

Channel Noise ◽

Single Output ◽

Multiple Input ◽

End To End ◽

Map Decoder

AbstractIn this paper, we propose a joint decoding scheme called AC-MAP decoder for multiple input single output (MISO) wireless cooperative communication network that consists of single source, single relay, and single destination. The proposed scheme is based on both Alamouti combining (AC) scheme and maximum a posteriori (MAP) decoder and is used to estimate the data at the destination. The AC-MAP decoder is optimal in the sense that it minimizes the end-to-end bit error rate (BER). In order to analyze performance of the proposed decoder, we derive a closed form expression for the upper bound (UB) on the end-to-end error probability. Distances between system nodes, transmit energy, and channel noise and fading effects are considered in the derivation of the UB. Numerical results show that the closed form UB is very tight and it almost coincides with the exact BER results obtained from simulations. Therefore, we use the derived UB expression to study the effects of the relay position on the BER performance and to find the optimal location of the relay node.

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