研究目的
To develop a comprehensive dynamic three-dimensional resource assignment (3D-RA) framework for space division multiplexing elastic optical networks (SDM-EONs) using few-mode multi-core fibers (FM-MCFs), addressing the limitations of existing literature by considering all flexible 3D-RA scenarios without spectral and spatial partitioning.
研究成果
The proposed 3D-RA algorithms effectively manage resource allocation in SDM-EONs over FM-MCFs. Key findings include: (i) In Ind-Sw, SMSC shows the best blocking probability due to fewer guard bands, while in FrJ-Sw, MMSC performs best due to reduced busy unused FSs. (ii) The quad-hybrid scenario achieves the lowest blocking probability overall. (iii) SMSC has the lowest hardware complexity. The results suggest efficient transceiver designs for Ind-Sw and FrJ-Sw schemes, with recommendations for further research on physical impairments and scalability.
研究不足
The study does not consider physical impairments like inter-core crosstalk (IC-XT) and inter-mode crosstalk (IM-XT), which could affect performance in real-world deployments. The simulations assume identical FM-MCF structures for all links and no core switching (spatial continuity), which may limit applicability. The computational time increases with spatial flexibility, and the proposed algorithms may not scale efficiently for very large networks. Future work should include cross-layer design with impairment awareness.
1：Experimental Design and Method Selection:
The study uses a simulation-based approach with event-driven simulations implemented in MATLAB. Algorithms for 3D-RA scenarios (SMSC, MMSC, SMMC, MMMC, hybrid) are developed based on spectral and spatial first fit (SSFF) concepts, considering spectral continuity, contiguity, and fixed start frequency alignment.
2：Sample Selection and Data Sources:
A test network topology (JPN-12 with 12 nodes and 17 bidirectional links) is used, with FM-MCFs having 3 modes and 7 cores, and 320 frequency slots (FSs) of
3：5 GHz each. Service requests follow a Poisson process with bit rates normally distributed between 50-1000 Gbps. List of Experimental Equipment and Materials:
A computer with Core i7 processor at
4：9 GHz, 8 GB RAM, 64-bit OS, and MATLAB software for simulations. Experimental Procedures and Operational Workflow:
For each service request, the required FSs are calculated based on modulation format and distance, a lightpath is selected using the k-shortest paths algorithm, and 3D-RA algorithms are executed to allocate resources. If allocation fails, the service is blocked. Simulations run for 10^5 requests.
5：Data Analysis Methods:
Blocking probability (BP) is calculated as the ratio of rejected services to total services. Performance is compared across scenarios and switching schemes (Ind-Sw and FrJ-Sw), with statistical averaging over multiple executions.
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MATLAB
MathWorks
Used for implementing event-driven simulations and data analysis in the study.
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Core i7 processor
Intel
Used in the computer for running simulations.
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RAM
Memory used in the simulation computer.
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64-bit operating system
OS used for simulations.
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FM-MCF
Few-mode multi-core fiber used as the transmission medium in the network model.
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SDM-WSS
Space division multiplexing wavelength selective switch used in FrJ-Sw schemes for switching.
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SSS
Spectrum selective switch used in Ind-Sw schemes for switching.
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3D-PST
Spectral and spatial programmable sliceable transceiver architecture for generating and receiving superchannels.
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PS-BVT
Programmable sliceable bandwidth variable transponder used in the transceiver for sub-channel generation.
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MDM
Mode division multiplexer used in the transceiver for mode multiplexing.
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DSP
Digital signal processor used in the transceiver for signal processing.
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TLS
Tunable laser source used in the transceiver for optical signal generation.
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DAC
Digital-to-analog converter used in the transceiver.
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PDM I/Q-Mach–Zehnder modulator
Modulator used in the transceiver for polarization division multiplexing.
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ROADM
Reconfigurable optical add/drop multiplexer used in the network for switching.
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