摘要
针对光纤到房间(FTTR)C-WAN2.0架构中密集部署多接入点引发的空口竞争冲突加剧、传输时延不可控等问题,提出了一种多AP协同的增强型分布式信道接入(Co-EDCA)机制。通过冲突图建模与时隙分配实现干扰域隔离,并利用强化学习动态调整竞争窗口,优化多SFU的竞争行为。仿真结果表明,该机制在SFU密集场景下可降低23%的冲突概率,提升98%的系统吞吐量,并减少57%的传输时延,有效解决了C-WAN2.0架构下的资源竞争与服务质量保障问题。
Aiming at the problems of intensified air port competition conflicts and uncontrollable transmission delay caused by the dense deployment of multiple access points in the fiber-to-the-room(FTTR)C-WAN2.0 architecture,a collaboration-enhanced distributed channel access(Co-EDCA)mechanism with multi-AP was proposed.The interference domain isolation was achieved through conflict graph modeling and time slot allocation,and the competition window was dynamically adjusted using reinforcement learning to optimize the competitive behavior of multiple SFUs.Simulation results show that the proposed mechanism can reduce the conflict probability by 23%,improve the system throughput by 98%,and reduce the transmission delay by 57%in SFU-dense scenarios,effectively solving the resource competition and quality of service guarantee problems under the C-WAN2.0 architecture.
作者
吴伟民
曾宸
WU Weimin;ZENG Chen(School of Electronic Information and Communication,Huazhong University of Science and Technology,Wuhan 430074,China)
出处
《通信学报》
北大核心
2025年第S1期1-8,共8页
Journal on Communications
关键词
FTTR
C-WAN架构
多AP协同
冲突图
强化学习
FTTR
C-WAN architecture
multi-AP collaboration
conflict graph
reinforcement learning