车联网中视频语义驱动的资源分配算法

doi:10.11959/j.issn.1000-436x.2021080

Abstract

Abstract:

Aiming at the problem that traditional resource allocation methods will no longer be applicable, with the demand of intelligent computing services such as video semantic understanding in Internet of vehicles, the video semantic driven resource allocation algorithm was studied.First of all, taking the object detection task as an example, a semantic driven resource allocation guidance model for video was proposed and an algorithm for solving model parameters was given.Secondly, an optimization problem of resource allocation driven by video semantics in Internet of vehicles was constructed, which was transformed into a convex problem and solved by convex optimization algorithm.Furthermore, in order to reduce the complexity of the convex optimization algorithm, a resource allocation algorithm based on reinforcement Q learning was proposed.Finally, the performance advantages of the proposed algorithm are verified by simulations.

Key words: resources allocation, Internet of vehicles, video semantics, object detection, reinforcement learning

CLC Number:

TN929.5

Jiujiu CHEN, Chunyan FENG, Caili GUO, Yang YANG, Qizheng SUN, Meiyi ZHU. Video semantics-driven resource allocation algorithm in Internet of vehicles[J]. Journal on Communications, 2021, 42(7): 1-11.

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References 20

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模型参数	视频语义检测类别
模型参数	行人	车辆	交通灯
α₁	-2.214×10^-12	-3.82×10^-13	-8.405×10^-8
α₂	6.741	7.256	4.158
α₃	0.694	0.695 8	0.725
MSE	0.002 08	0.014 03	0.026 03

模型参数	视频采集场景
模型参数	目标密集	目标中等	目标稀疏
β₁	46.27	45.96	45.22
β₂	-7.086×10^-5	-8.648×10^-5	-1.052×10^-4
MSE	0.001 98	0.002 95	0.004 05

仿真参数	值
边缘服务器覆盖范围/km	0.5
配置摄像头的车辆数目M	3~18
检测对象的类别数N	3
检测对象类别权重δ_n	1
车辆行驶速度v_m/(km·h^-1)	0~120
车辆发射功率S_m/dBm	23
噪声功率谱密度/ (dBm·Hz^-1)	-174
中心载波频率/ GHz	2
视频预处理时延Δt / ms	200
小尺度衰落的时间间隔t_e/ ms	50
总带宽资源B_max/ MHz	0.2~2
最小带宽约束B_min	0.1B_max
最小检测正确率约束P_min	0.3

视频序号	视频分辨率	视频帧率/(帧.s^-1)	待检测目标密度I (行人/车辆/信号灯)
1	640像素×480像素	30	11.1/1.6/1.5
2	640像素×480像素	30	1.0/8.5/1.5
3	640像素×480像素	30	0.0/1.9/0.0

Video semantics-driven resource allocation algorithm in Internet of vehicles

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