基于停放车辆路边单元环境感知的车联网资源高效分配

doi:10.11959/j.issn.1000-436x.2022129

Abstract

Abstract:

In order to reduce the number of road side unit (RSU) and meet the needs of mobile vehicle users for processing latency-sensitive and computation-intensive tasks, a context-aware resource allocation algorithm was proposed based on parked cars.Road side parked vehicles were selected to serve the vehicle users instead of RSU using parking time as a factor for determining whether a parked vehicle could become a parked car roadside unit (PCRSU).In order to further reduce the system response time, a mechanism was designed considering content caching and distribution.In respect to user content caching, PCRSU made personalized content recommendation for vehicle users with awareness by using two elements of user historical search data and point of interest (PoI) area type.In respect to content distribution, PCRSU allocated bandwidth efficiently by sensing the data transmission needs of vehicle users.Extensive experiments show that compared with the existing benchmark methods, the proposed algorithm can select PCRSU more reasonably, effectively reduce the demand response delay, improve the stability of the network while ensuring network coverage, and provide more accurate service content for vehicle users.

Key words: PCRSU, context-awareness, Internet of vehicles, content recommendation, resource allocation

CLC Number:

TN92

Peng QIN, Haoting HE, Xiongwen ZHAO, Yang FU, Yu ZHANG, Miao WANG, Shuo WANG, Xue WU. Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles[J]. Journal on Communications, 2022, 43(7): 113-125.

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References 22

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名称	参数	数值
使用基于 PoI 区域类型推荐方法的比例（式(9)）	ρ	0.1
推荐内容数目/个	m	5～20
车辆用户数/个	N	5～30
噪声功率/(dBm·Hz^-1)	n₀	174
停放车辆的总带宽/MHz	B	20
停放车辆通信范围/km	L_s	1
用户车辆平均速度/(km·h^-1)	v	40
路径损耗指数	α	2
最大功率/W	P_max	5

Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles

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