High-capacity and low-cost long-reach OFDMA PON based on distance-adaptive bandwidth allocation

Hu, Xiaofeng; Cao, Pan; Wu, Jiayang; Mao, Junming; Lv, Jianxin; Jiang, Yuling; Qiu, Ciyuan; Tremblay, Christine; Su, Yikai

doi:10.1364/oe.23.001249

Cited by 11 publications

(3 citation statements)

References 26 publications

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“…Joint allocation of virtual subcarriers (VS), TS, and modulation formats was studied to maximize energy savings with multi-dimensional resource re-allocation and flexible ONU re-configuration [15]. The authors in [23] proposed a distance-adaptive bandwidth allocation scheme to realize low-cost high-capacity long-range OFDMA-PONs. In [24], a number of sub-bands are grouped together as a band group (BP) and multiple ONUs share the BP by time division mode to realize an energy-efficient time division multiple band allocation passive optical network (TDMBA-PON).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Subcarrier Assignment in OFDMA-PONs Based on Deep Reinforcement Learning

Zhu

Chen

et al. 2022

IEEE Photonics J.

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Orthogonal Frequency Division Multiplexing Access Passive Optical Networks (OFDMA-PONs), a solution for the next-generation optical access network, allows multiple optical network units (ONUs) to dynamically share subcarriers (SCs) to support efficient bandwidth allocation. In uplink transmission, multiple ONUs can share orthogonal low bit rate SCs to transmit data at different time slots (TSs) during the transmission cycle. In this paper, the dynamic subcarrier allocation (DSA) scheme based on deep reinforcement learning (DRL) is proposed for various ONU bandwidth requests. The novel scheme jointly allocates time slots, subcarriers, and modulation formats in a dynamic and flexible manner. The ONU can save transmit power by using a lower order modulation format while meeting the delay requirement. The simulation part demonstrates how the proposed DRL-based DSA scheme can be adapted to various situations, including 1) variation in the size of ONU bandwidth requests, and 2) variation in the weight of different indicators. The extensive simulation results show that, for the first time, the proposed DRL-based DSA algorithm achieves optimal traffic latency with substantial power saving, compared with the traditional two-dimensional DSA algorithms.

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Section: Introductionmentioning

confidence: 99%

Dynamic Subcarrier Assignment in OFDMA-PONs Based on Deep Reinforcement Learning

Zhu

Chen

et al. 2022

IEEE Photonics J.

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“…Among them, the passive optical network (PON) has been widely deployed to address the high-bandwidth requirements toward the next-generation multiuser access network. Besides, the technique of orthogonal frequency division multiplexing (OFDM) is a highly attractive multicarrier modulation technique in future PON, owing to its cost effectiveness, strong immunity to multipath fading, high spectral efficiency and robustness to fiber dispersion [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Cellular Neural Network Encryption Scheme for Time Synchronization and CPAs Resistance in OFDM-PON

Zhuo

et al. 2019

IEEE Access

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In this paper, we first experimentally demonstrate a novel cellular neural network (CNN)-based physical layer encryption scheme to achieve the capability of chosen-plaintext attacks (CPAs) resistance and time synchronization simultaneously in orthogonal frequency division multiplexing passive optical network (OFDM-PON). By utilizing the hyperchaotic phenomena within a certain parameter range characteristics of CNN, a four-dimensional (4-D) CNN-based system is constructed to strengthen the security of data transmission. And, according to CNN, the chaotic Feistel transform is executed after extracting the indexes of QAM data, in which completely dynamic encrypted data can be achieved for the CPAs resistance. Moreover, a chaotic training sequence generated by CNN used as timing sequence is added to the transmitted OFDM signals to obtain time synchronization and further increasing the confidentiality of the encryption system. A verified experimental system with 10-Gb/s 16-QAM encrypted OFDM signals through 20-km single-mode fiber (SMF) transmission is conducted. And, the results show that the Feistel and CNN-based physical-layer encryption scheme can generate completely dynamic ciphertexts for the CPAs resistance and accurately realize the time synchronization, and without apparent receiver sensitivity deterioration (∼0.3dB) is introduced in comparison with other against CPAs schemes. INDEX TERMS Cellular neural network (CNN) encryption, orthogonal frequency division multiplexing (OFDM), passive optical network (PON), dynamic ciphertexts.

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“…With the demand for communications continuously increasing, optical networks will need to be even more prevalent than they are today. Passive optical networks (PONs) have been drawing increasing attention as one of the practical options for next-generation broadband networks due to network security, great flexibility, and easy maintenance [1,2]. For actual implementation of PONs, however, high-speed data access is the issue of concern for system designers.…”

Section: Introductionmentioning

confidence: 99%

A 20 km/80 Gbps bidirectional PON employing three-stage injection-locked VCSELs/NDFs/OBPFs

Ying

et al. 2015

Laser Phys. Lett.

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A 20 km/80 Gbps bidirectional passive optical network (PON) employing three-stage, injection-locked, 1.55 μm, vertical-cavity surface-emitting lasers (VCSELs), negative dispersion fibers (NDFs), and optical band-pass filters (OBPFs) is proposed and demonstrated. The three-stage injection-locked technique, which can greatly increase the frequency response of VCSELs, is thereby expected to provide excellent transmission performance in a bi-directional PON. To be the first one of employing directly modulated, three-stage injectionlocked, 1.55 μm, VCSELs; NDFs; and OBPFs results in excellent bit error rate (BER) performance, and clear eye diagrams are obtained for 20 km/80 Gbps, bidirectional PON applications. Such a novel bidirectional PON provides the advantage of a communication link for high data rates that could accelerate bidirectional PON deployment.

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High-capacity and low-cost long-reach OFDMA PON based on distance-adaptive bandwidth allocation

Cited by 11 publications

References 26 publications

Dynamic Subcarrier Assignment in OFDMA-PONs Based on Deep Reinforcement Learning

Dynamic Subcarrier Assignment in OFDMA-PONs Based on Deep Reinforcement Learning

Cellular Neural Network Encryption Scheme for Time Synchronization and CPAs Resistance in OFDM-PON

A 20 km/80 Gbps bidirectional PON employing three-stage injection-locked VCSELs/NDFs/OBPFs

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