Software/Hardware Co-design for Multichannel Scheduling in IEEE 802.11p MLME: (Abstract Only)

N. Ding, Wei Zhang, Yanhua Ma, Zhen-guo Gao
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Abstract

The capacity of IEEE 802.11p communication in vehicular ad hoc networks (VANETs) is widely sensitive to the tradeoff between control channel (CCH) and service channels (SCHs), which is particularly obvious in the different traffic flow condition. This paper proposes a hybrid multichannel scheduling algorithm with FPGA and traffic flow forecasting based on Kalman Filter (HMS-FFK) according to the extended SCH access mechanism mentioned in IEEE 1609.4 protocol. In HMS-FFK, a Random CCH Transmission Request Probability is defined to describe the CCH message congestion probability according to the local traffic flow density. Then, a hardware prototype of MAC sublayer management entities (MLME) based on HMS-FFK scheduling (MLME-HMS) is designed with FPGA, which is flexible to be integrated in the 802.11p communication system by the PCI interface. Theoretical analysis and simulation results show that the proposed scheme and hardware prototype of MLME are able to help IEEE 1609.4 MAC to optimize the throughput of SCHs and reduce the transmission delay of CCH in the different traffic flow condition.
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IEEE 802.11p MLME中多通道调度的软硬件协同设计(摘要)
车辆自组织网络(vanet)中IEEE 802.11p通信容量对控制信道(CCH)和业务信道(SCHs)之间的权衡非常敏感,在不同的交通流条件下表现得尤为明显。本文根据IEEE 1609.4协议中扩展的SCH接入机制,提出了一种基于FPGA和基于卡尔曼滤波的流量预测混合多通道调度算法(HMS-FFK)。在HMS-FFK中,定义了随机CCH传输请求概率(Random CCH Transmission Request Probability),根据本地流量密度描述CCH报文拥塞概率。然后,利用FPGA设计了基于HMS-FFK调度的MAC子层管理实体(MLME- hms)的硬件原型,该原型可以通过PCI接口灵活地集成到802.11p通信系统中。理论分析和仿真结果表明,所提出的方案和MLME硬件原型能够帮助IEEE 1609.4 MAC优化sch的吞吐量,降低不同交通流条件下CCH的传输延迟。
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Architecture and Circuit Design of an All-Spintronic FPGA Session details: Session 6: High Level Synthesis 2 A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only) Software/Hardware Co-design for Multichannel Scheduling in IEEE 802.11p MLME: (Abstract Only) Session details: Special Session: Deep Learning
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