This paper introduces a novel metric and approach for link quality measurement and a new algorithm for human-intervention-free optical link balancing, specifically designed for optical fiber transfer systems that requ...
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This paper introduces a novel metric and approach for link quality measurement and a new algorithm for human-intervention-free optical link balancing, specifically designed for optical fiber transfer systems that require bidirectional amplification. bidirectional amplification, essential for reciprocal optical paths to compensate fluctuations for new non-data applications like accurate time transfer and ultrastable coherent frequency transfer, introduces complexities such as feedback loops and phase inconsistencies. Our work ensures that amplified signals maintain precise time alignment, a critical aspect of any bidirectionally amplified system. Amplification processes often introduce phase noise and frequency fluctuations, which are disruptive, especially for non-data applications, necessitating a delicate balance between amplification and signal integrity. Our approach aims to provide a comprehensive solution for these complexities. Our algorithm's effectiveness is demonstrated through rigorous testing on real-world infrastructure. It successfully balances several optical links, indicating robustness when handling bidirectional amplification complexities. Furthermore, an extended use case involving a cascade of four balanced optical amplifiers demonstrates the algorithm's efficiency in more intricate scenarios. This concept has been successfully deployed and tested on one fiber segment of the Czech national research and education network. We discuss the substantial benefits observed in the newly balanced links, highlighting significant advancements in mitigating the challenges of bidirectional amplification. Our findings represent a significant step forward in optical network technologies, addressing critical issues in modern open optical communication systems.
In an underlay cognitive two-way Amplify-and-Forward (AF) relaying network, secondary users (SUS) and primary user (PU) can share the licensed spectrum simultaneously under the interference threshold constraint. In th...
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ISBN:
(纸本)9781629939254
In an underlay cognitive two-way Amplify-and-Forward (AF) relaying network, secondary users (SUS) and primary user (PU) can share the licensed spectrum simultaneously under the interference threshold constraint. In this paper, the joint power allocation and optimal relay selection scheme is proposed for allocating radio resource on cognitive nodes effectively. For power allocation problem, the objective function is to maximize the achieved minimum Signal to Interference plus Noise Ratio (SINR) at SUS, and the constraints include the total transmit power of cognitive nodes and PU interference threshold, the optimal power allocation algorithm and a simple distributed power allocation algorithm are proposed. Furthermore, based on these results, an optimal two-way relay selection scheme is proposed. Simulation results show that the proposed joint power allocation algorithms and relay selection scheme can achieve excellent system performance.
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