摘要:With the rapid development of mobile services, big data, cloud services, and artificial intelligence, traditional network services cannot no longer meet the requirements of current network development and solve the problems of the resource allocation and scheduling ossification in the current network. Therefore, by using network virtualization technologies, we can provide the flexible network resource configuration information for users to reduce network cost and improve network resource efficiency. The required bandwidth resources of each virtual link are divided into different transmission line rate by employing mixed line rate splitting. We propose an optimized cost approach for Virtual Optical Network (VON) mapping based on mixed line rate. Simulation results show that the proposed optimized cost approach of VON mapping based on mixed line rate can achieve better optimization and balance in terms of the network cost, frequency slot occupation, the configuration of optical transponders, and optical regenerators.
关键词:optical network;mixed line rate;optimized network cost;VON mapping
摘要:In order to meet the communication needs of the new era, the new generation communication network should have the characteristics of faster speed, larger capacity and wider coverage. By mixing different modulation formats in communication networks, the requirements of new generation communication networks can be satisfied. Facing the situation that multiple modulation formats are mixed and variable in future communication networks, the correct identification of signal modulation formats can provide the basis for the subsequent use of digital technique to improve the performance. Machine learning has obvious advantages over traditional methods in feature extraction and classification. The application of machine learning techniques to realize modulation format identification has become a hot topic nowadays. This paper introduces several machine learning methods applied to feature extraction-based classification schemes, and try to summarize the field by analyzing and comparing their applications.
关键词:machine learning;feature extraction;modulation format recognition;deep learning
摘要:With the development of big data, cloud services, and artificial intelligence, the optical network is developing towards scale and complexity, which suffers from larger probability of network failure. It is necessary to provide dedicated-path protection for each connection request to reduce the loss caused by the network failures. Therefore, in order to guarantee the network survivability, we propose a dedicated-path protection optimization method to improve the network resource efficiency in elastic optical networks with data centers. The simulation results show that the proposed dedicated-path protection optimization method can effectively reduce the blocking probability, improve the network resource utilization, and solve the survivability problem of elastic optical networks in data centers.
摘要:In order to maintain the stability of the transmitter to ensure the quality of the output signal, we propose a novel technique of automatic bias control based on the pilot signal that can be used in high-order modulation formats. The proposed scheme requires loading a pair of orthogonal pilot signals to the modulator and tapping the frequency-shifted local oscillation light with the signal light output from the modulator to achieve coherent detection. The control of the bias voltage is achieved by means of correlation operation and monitoring the value of the correlation coefficient. This scheme combines coherent detection and correlation detection techniques, which can effectively improve the sensitivity and control accuracy of the system. The feasibility of this scheme in high-order modulation systems and the improvement of sensitivity are also fully verified by simulation.
摘要:Aiming at the problem that the current Quantum Random Number Generator (QRNG) cannot simultaneously meet the high-speed and real-time requirements of random number generation in quantum key distribution communication, this paper improves the QRNG scheme based on pulse laser as light source to extract phase information. The random phase information is converted into light intensity information by single-mode Michelson interferometer, and then converted into electrical signal by high-speed Photo Detector (PD). Finally, the real-time quantum random number generation rate of 1.1 Gbit/s is obtained by using 16 bit Analog-to-Digital Converter (ADC) with 250 MHz sampling rate and 50% extraction rate. A high-speed, real-time and integrated QRNG equipment is realized. At the same time, the advantages of this scheme and continuous laser as light source in principle and system design are compared. QRNG based on pulsed laser light source has passed various tests of China Academy of Information and Communications. The random number output by the product in the process of stable operation can pass 15 test standards specified in the State Cryptography Administration randomness test document GB/T 32915-2016 and National Institute of Standards and Technology (NIST) test standards.
关键词:QRNG;pulse laser;high speed sampling;randomness test
摘要:In order to mitigate the effect of nonlinear noise nonlinear Channel Equalizer (CE) based on Gaussian Processes for Regression (GPR) is proposed and experimentally demonstrated in an intensity modulation and direct detection fiber link. In this scheme, the GPR model is used to estimate the transmitted symbols or the corresponding nonlinear noise after pre-processing. The experimental results show that the nonlinear CE based on GPR has better performance than conventional linear and nonlinear filter-based CE. In addition, it is shown that the GPR model in the nonlinear channel equalization process can be understood as an optimized single-layer neural network model with infinite width.
摘要:This paper proposes a novel Non-linear Camera Assisted-Received Signal Strength (nCA-RSS) algorithm. The basic idea of nCA-RSS is to simultaneously utilize camera and Photo-Diode (PD) to capture visual information and signal strength information to achieve both high coverage and accurate positioning. First, based on single-view geometry theorem, nCA-RSS algorithm estimates incidence angle of visible light based on visual information. Then, based on the estimated incidence angle, nCA-RSS algorithm utilizes signal strength to determine the location of the receiver. Due to the use of visual information, nCA-RSS no longer has orientation limitations. Based on Levenberg-Marquardt, nCA-RSS can use three Light Emitting Diode (LED) to achieve precise 3-Dimensional (3D) positioning. Therefore, compared with perspective n point algorithm, nCA-RSS can achieve high coverage. Simulation results show that nCA-RSS can achieve 80th percentile accuracies of less than 2.5 cm for positioning regardless of the orientation of the receiver.
关键词:VLP;received signal strength;camera;Levenberg-Marquardt algorithm
摘要:When the data distribution of optical fiber link changes, machine learning can be used to evaluate the transmission quality of link, which needs to recollect data and retrain. This process is time-consuming and complex. Transfer learning directly applies the previously learned knowledge to the current task, which requires less data. Therefore, it is proposed to use two transfer learning methods to realize multi classifier based on machine learning in the correlated optical communication system. The simulation results show that the multi classifier of machine learning combined with transfer learning and fine-tuning technology improves the multi classification index score by more than 0.25 compared with the direct transfer machine learning multi classifier. It is also shown that the impact of sample imbalance is reduced, and each category has high performance. It is proved that the machine learning multi classifier combined with transfer learning and fine-tuning technology can reduce the size of data set, reduce the cost of collecting data set, and improve the efficiency of transmission quality evaluation process in optical fiber link.
关键词:fiber optical links;quality of transmission;machine learning;transfer learning
摘要:To solve the polarization-ralated losses and polarization mode dispersion problems of silicon on insulator platforms and to improve the efficiency of polarization diversity systems, this paper proposed a polarization beam splitting-rotation-multiplexing integrated device based on Asymmetric Directional Coupler (ADC) and Subwavelength Gratings (SWG) with a thick silicon core layer is proposed, which can convert any input light into a output light of Fundamental Transverse Electric (TE0) Mode. The integrated device consists of three parts: polarization beam splitter, polarization rotator and wave combiner. The Three-Dimensional Finite Difference Time Domain (3D-FDTD) method is used for simulation analysis, and the structural parameters are optimized. The size of the device is 4.5 μm×56.0 μm. At the input wavelength of 1.55 μm, it has a high polarization extinction ratio of 45 dB, and an insertion loss of 0.53 dB. A bandwidth of 75 nm is achieved when the polarization extinction ratio is greater than 30 dB and the insertion loss is less than 1 dB. Therefore, the operating frequency range of the device can cover the entire C-band. Finally, the influence of process error on device performance is analyzed. The integrated device has a compact structure and a higher polarization extinction ratio, which can meet the requirements of modern optical communication and optical integrated systems.
摘要:Generally, an optical switch is only suitable for a narrow and particular field. In this paper, a microfluidic matrix optical switch based on the electrowetting-on-dielectric driving technology is proposed, which can be applied in a wide range of optical communication and optoelectronic systems. It has the advantages of simple structure, convenient operation, polarization independence and easy integration of large matrix switches. Here the structure and working principle of this matrix optical switch are given, and the matrix driving circuit is designed. The operating voltage of the optical switch is 58V. The results show that the response time is 120 ms from "on" to "off" and is 100 ms from "off" to "on". The insertion loss is 0.26 dB, which is much lower than that of general matrix optical switches, and the extinction ratio is 139.7 dB. Moreover, two application schemes are given, namely, a photoelectricity display and a multi-beam array switch. Our work can provide a new idea for large-scale integrated matrix switches and promote the application of optofluidics in optoelectronic systems.
摘要:Faster-than-Nyquist (FTN) technology can improve the spectral efficiency of Optical Wireless Communications (OWC). However, it is affected by the artificially introduced Inter-Symbol Interference (ISI) and atmospheric turbulence, which leads to the degradation of Bit Error Rate (BER) performance. To deal with this issue, a PAM modulated Multiple Input Multiple Output (MIMO)-FTN-OWC system is proposed, and MIMO technology is utilized to suppress the influence of atmospheric turbulence. Furthermore, the theoretical BER in log-normal fading channel is deduced, and the influence of channel correlation on the BER performance is analyzed. The simulation results show that the BER performance of 2×2 MIMO-FTN system is 9.5 dB higher than that of Single-Input Single-Output (SISO)-FTN system when BER is 10-4. In addition, the MIMO-FTN system has better BER performance than that of SISO-FTN system when the channel spatial correlation coefficient is lower than 0.6.
摘要:There are problems of interference between Devices-to-Devices (D2D) communication users and cellular users, mutual interference between D2D communication users, and environmental interference caused by the existence of environmental obstacles in the D2D communication system assisted by Reconfigurable Intelligent Surface (RIS). In order to solve the problems, an optimization algorithm aiming at maximizing the total rate of the system is proposed to maintain the high quality of services among cellular users and D2D communication. Simulation experiments show that the total system speed under the tabu search-successive convex approximation algorithm is improved by 56% compared with the phase shift optimization algorithm. The total system speed under the tabu search-successive convex approximation algorithm is improved by 21.2% compared with the power allocation algorithm.