车辆异构网中基于移动边缘计算的任务卸载与资源分配

doi:10.11959/j.issn.2096-3750.2018.00062

Abstract

Abstract:

Based on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues in vehicle heterogeneous network were studied.Considering the link differentiation requirements,which were the high capacity of vehicle-to-roadside unit (V2I) links and the super reliability of vehicle-to-vehicle (V2V) links,quality of service (QoS) was modeled as the combination of capacity and latency.Firstly,the improved K-means algorithm was used to cluster the request vehicles according to different QoS to determine the communication mode.Secondly,the LTE-U technology based on non-competition period (CFP) which was combined with carrier aggregation (CA) technology,and the distribution Q-Learning algorithm were adopted to allocate the channel and power.The simulation results show that the proposed mechanism can maximize the V2I link traversal capacity while ensuring the reliability of the V2I link.

Key words: mobile edge computing, LTE-U, vehicle network, task offloading, resource allocation

CLC Number:

TN929.5

Haibo ZHANG,Qiuji LUAN,Jiang ZHU,Fangwei LI. Task offloading and resource allocation in vehicle heterogeneous networks with MEC[J]. Chinese Journal on Internet of Things, 2018, 2(3): 36-43.

Figures/Tables 6

参数	值
最大发射功率 $P_{\max}^{C} / P_{\max}^{V}$	24 dBm/17 dBm
系统带宽	10 Mbit/s
载波频率	2 GHz
阴影衰落标准差V2I/V2V	8 dB/4 dB
路径损耗V2I	128.1+37.6log d
路径损耗V2V	Los in winner +B1
D2D用户SINR门限γ₀C	5 dB
噪声功率σ²	?100 dBm
V2V链路可靠性	0.999 9
中断概率 p₀/ p₁	0.1/0.1

References 19

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