B5G边缘网络中考虑安全性的低延迟并发多PDU会话传输的Raptor编码
Raptor Encoding for Low-Latency Concurrent Multi-PDU Session Transmission with Security Consideration in B5G Edge Network
AI总结：
针对B5G边缘网络中传输的低延迟高可靠需求及窃听风险，提出融合队列感知编码策略的SCLER Raptor编码多路径传输方法，经CMDP建模与阈值策略求解，实现延迟、可靠性与安全性的平衡，且兼容现有移动网络。
摘要：
在B5G边缘网络中，边缘计算节点与终端设备之间的端到端低延迟、高可靠性传输至关重要。本文研究了随机到达数据包的队列感知编码调度传输，同时考虑了边缘网络中潜在的窃听者。为解决这些问题，我们提出了SCLER，这是一种协议数据单元（PDU）Raptor编码多路径传输方法，克服了并发多路径传输（CMT）攻击面较大、延迟与带宽不对称导致的延迟过高，以及PDU会话承载之间缺乏交互的挑战。我们提出了一种基于Raptor编码与分发的安全可靠传输方案，该方案融合了队列长度感知编码策略。该策略采用约束马尔可夫决策过程（CMDP）建模，我们基于阈值策略求解了最优决策的约束优化问题。数值结果表明，SCLER有效降低了数据泄露风险，同时实现了延迟与可靠性之间的最优平衡，从而保障了数据安全。重要的是，所提出的系统与现有移动网络兼容，具备实际适用性。
英文摘要：
In B5G edge networks, end-to-end low-latency and high-reliability transmissions between edge computing nodes and terminal devices are essential. This paper investigates the queue-aware coding scheduling transmission of randomly arriving data packets, taking into account potential eavesdroppers in edge networks. To address these concerns, we introduce SCLER, a Protocol Data Units (PDU) Raptor-encoded multi-path transmission method that overcomes the challenges of a larger attack surface in Concurrent Multipath Transfer (CMT), excessive delay due to asymmetric delay\&bandwidth, and lack of interaction among PDU session bearers. We propose a secure and reliable transmission scheme based on Raptor encoding and distribution that incorporates a queue length-aware encoding strategy. This strategy is modeled using Constrained Markov Decision Process (CMDP), and we solve the constraint optimization problem of optimal decision-making based on a threshold strategy. Numerical results indicate that SCLER effectively reduces data leakage risks while achieving the optimal balance between delay and reliability, thereby ensuring data security. Importantly, the proposed system is compatible with current mobile networks and demonstrates practical applicability.
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