一种自适应的太赫兹无线个域网高效定向MAC协议

针对现有太赫兹无线个域网定向MAC协议存在的波束训练开销和入网时延偏大以及Beacon, S-CAP时段时隙利用不足问题，该文提出一种自适应的定向MAC协议——AD-MAC，自适应地在静态场景下采用全网协同波束训练，在动态场景下节点基于历史信息快速回复波束训练帧，同时使用反向监听策略减小同扇区节点的帧碰撞概率，并且通过时隙复用在Beacon和S-CAP时段并行发送控制帧和数据帧。理论分析表明了AD-MAC协议的有效性，仿真结果显示：相较于ENLBT-MAC等典型协议，AD-MAC在静态场景下的波束训练开销和节点平均入网时延分别降低了约21.84%和22.70%，在动态场景下上述二指标则分别减小了约18.7%和13.07%。

An Adaptive Directional MAC Protocol for Terahertz Wireless Personal Networks

To reduce the beamforming training cost and network delay, make the best of Beacon and S-CAP sub-period in the existing Terahertz Wireless Personal Access Network (TWPAN) directional MAC protocols, an Adaptive Directional MAC (AD-MAC) protocol for TWPAN is proposed. AD-MAC adaptively uses the entire network cooperative beam training in a static scenario, and makes network nodes quickly respond to beam training frames based on historical information in a dynamic scenario. The reverse listening strategy is used to reduce the collision probability of same sector nodes. The control frame and data frame are transmitted simultaneously in the Beacon and S-CAP slot using time-slot reuse. Theoretical analysis verifies the effectiveness of AD-MAC. Also, simulation results show that, comparing with ENLBT-MAC, AD-MAC reduces about 21.84% of beamforming training cost and 22.70% of the average network delay in static scene, and reduces about 18.7% of beamforming training cost and 13.07% of the average network delay in dynamic scene.