时延QoS要求约束的业务流量卸载算法

The Traffic Offloading Algorithm Design under the Delay QoS Constraints

摘要: 随着网络技术的不断发展，通信网络中的业务流量和终端数量急剧增加，导致网络传输的复杂性和负载压力显著上升。业务流量卸载通过将部分业务从主网络卸载至辅助网络或边缘计算节点，以缓解主网络的压力，提高整体网络的服务质量。本文研究了在时延QoS要求约束下，业务流量的卸载算法。结合有效容量和有效带宽理论，确保在高负载条件下满足业务的统计型时延QoS要求。通过排队论、有效容量和有效带宽理论构建时延分析模型，设计了流量卸载算法。基于不同网络的服务速率，求解相应的时延违反概率，在此基础上，计算不同网络的可支持的最大到达率，对业务流量进行权重分配，从而实现了对业务流量的动态卸载，确保了各网络资源的优化利用和系统性能的提升。仿真结果表明，在时延QoS约束条件下，算法能够有效降低网络时延，提高网络稳定性和服务质量。

Abstract: With the continuous development of network technology, traffic and the number of terminals in the communication network has increased sharply, resulting in a significant increase in the complexity and load pressure of network transmission. Unload some services from the primary network to the secondary network or edge computing nodes to relieve the pressure on the primary network and improve the overall network service quality. This paper studies the traffic offloading algorithm under the constraint of delay QoS requirements. Combining the theory of effective capacity and effective bandwidth, the QoS requirements of statistical delay can be satisfied under high load conditions. Based on queuing theory, effective capacity theory and effective bandwidth theory, the delay analysis model is constructed, and the traffic offloading algorithm is designed. Based on the service rate of different networks, the corresponding delay violation probability is solved. On this basis, the maximum arrival rate supported by different networks is calculated, and the weight of service traffic is assigned. In this way, the dynamic unloading of service traffic is realized, and the optimal utilization of network resources and the improvement of system performance are ensured. Simulation results show that the algorithm can effectively reduce network delay and improve network stability and service quality under the delay QoS constraint.