Adaptive Coded Modulation for IM/DD Free-Space Optical Backhauling: A Probabilistic Shaping Approach

Elzanaty, Ahmed; Alouini, Mohamed‐Slim

doi:10.1109/tcomm.2020.3006575

Cited by 41 publications

(33 citation statements)

References 55 publications

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“…The FSO system primarily use intensity modulation/direct detection (IM/DD). While the information is encoded in changes of the light intensity, a square-low detection is typically used in decoding process [31]. The most optical technique for IM/DD system is on-off keying (OOK) [32].…”

Section: C) Transmission and Modulation Schemes For Fso Systemmentioning

confidence: 99%

A Survey of Free Space Optics (FSO) Communication Systems, Links, and Networks

et al. 2021

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Section: C) Transmission and Modulation Schemes For Fso Systemmentioning

confidence: 99%

A Survey of Free Space Optics (FSO) Communication Systems, Links, and Networks

et al. 2021

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“…In (9), conv(I RN , C w ) represents the convolution operation between I RN and C w . Retraining the new DL model under various interferences is time-consuming and tedious.…”

Section: Interference Suppression Via the Cnnmentioning

confidence: 99%

“…Specifically, ACM can achieve a good compromise between capacity and reliability by adapting parameters to the channel condition 3 and has been applied in the cellular communication systems, 4 satellite broadcasting systems, [5][6][7] and optical communication networks. 8,9 However, traditional ACM usually needs amount of hardware and software resources to implement multiple codes and modems with different rates and different orders separately, and then select a certain combination of them to complete the communication according to the perception and decision of the channel environment. Interference suppression is mainly utilized in the spread spectrum communication system and Ultra-Wide Band system to combat the narrowband interference.…”

Section: Introductionmentioning

confidence: 99%

Adaptive modem and interference suppression based on deep learning

Wei

Wang

Luo

2021

Trans Emerging Tel Tech

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With the increasingly fierce competition of electromagnetic spectrum, developing intelligent communication systems that can reconfigure its waveform can effectively improve the communication system's ability to adapt to the complex electromagnetic environment. In this paper, an adaptive modem based on a deep autoencoder network (DAN) is designed, and the demodulation performance that is close to, consistent with, or better than traditional MPSK or QAM is achieved. This DAN can be trained by a unified loss function and a unified optimization algorithm to implement a variety of modems. For high-order modems, the constellation diagrams generated by the DAN are radically different from the traditional modulation and very difficult to distinguish linearly, which is beneficial to improve the anti-interception ability of the communication systems. Additionally, based on the trained DAN, a convolutional neural network (CNN) with a single convolutional layer is incorporated to suppress a variety of interferences. By using transfer learning, the new deep learning (DL) model with the CNN converges fast with a few epochs of training. Training and test results verify that the new DL model can improve the anti-interference ability of the communication systems by learning and suppressing the interferences in both frequency and power domains.

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“…Probabilistic amplitude shaping is another concept that can only be used for symmetric constellation with coherent modulation, which greatly limits its application [56]. For FSO, a practical and capacity achieving PS scheme with adaptive coding modulation is proposed with intensity modulation/direct detection [57].…”

Section: Related Workmentioning

confidence: 99%

When Probabilistic Shaping Realizes Improper Signaling for Hardware Distortion Mitigation

Javed

Elzanaty

Amin

et al. 2020

Preprint

Self Cite

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<pre><pre>Hardware distortions (HWD) render drastic effects on the performance of communication systems. They are recently proven to bear asymmetric signatures; and hence can be efficiently mitigated using improper Gaussian signaling (IGS), thanks to its additional design degrees of freedom. Discrete asymmetric signaling (AS) can practically realize the IGS by shaping the signals' geometry or probability. In this paper, we adopt the probabilistic shaping (PS) instead of uniform symbols to mitigate the impact of HWD and derive the optimal maximum a posterior detector. Then, we design the symbols' probabilities to minimize the error rate performance while accommodating the improper nature of HWD. Although the design problem is a non-convex optimization problem, we simplified it using successive convex programming and propose an iterative algorithm. We further present a hybrid shaping (HS) design to gain the combined benefits of both PS and geometric shaping (GS). Finally, extensive numerical results and Monte-Carlo simulations highlight the superiority of the proposed PS over conventional uniform constellation and GS. Both PS and HS achieve substantial improvements over the traditional uniform constellation and GS with up to one order magnitude in error probability and throughput. </pre></pre>

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Adaptive Coded Modulation for IM/DD Free-Space Optical Backhauling: A Probabilistic Shaping Approach

Cited by 41 publications

References 55 publications

A Survey of Free Space Optics (FSO) Communication Systems, Links, and Networks

A Survey of Free Space Optics (FSO) Communication Systems, Links, and Networks

Adaptive modem and interference suppression based on deep learning

When Probabilistic Shaping Realizes Improper Signaling for Hardware Distortion Mitigation

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