A combined routing and core-spectrum assignment (RCSA) scheme is proposed for spatial division multiplexing elastic optical networks (SDM-EONs). The improved algorithm will evaluate resource availability based on existing link status and select suitable core combination for transmission. The service requirements will be reasonably allocated spectrum resource depending on the assessment of the crosstalk effects between different cores and frequency spectrum availability. Simulation results show that the proposed algorithm can improve both the resource utilization and blocking probability compared with traditional algorithms.
The sixth generation of mobile communication (6G) represents the future of wireless communication development, which will introduce many new services and applications. Next generation optical network will introduce Artificial Intelligence (AI) based technology including traffic classification, prediction, virtual topology design, path calculation, etc. It is possible to introduce a new joint space-time-spectrum software definition network (STS-SDN) and multi-dimensional space cloud architecture for 6G oriented next generation optical networks. It will realize coordinated resource optimization in multiple dimensions such as space, time, frequency, and polarization domain under the support of multi-core, less-mode, polarization multiplexing and spectrum slicing in the physical layer.
Traditional Visible Light Communication (VLC) based indoor positioning algorithm needs long time for positioning processing. An improved k-means method is presents in this paper which allows the positioning terminal to receive the signal strength information generated by different LEDs, and the improved k-means method is implemented to establish the fingerprint database. The triangle positioning method will be firstly used to roughly determine the position, and then adopt the fingerprint matching method for accurate locating. Simulation results show that compared with the traditional fingerprint-based method, the improved k-means method has improved the computing efficiency of positioning process.
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