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1. 华北电力大学新能源电力系统国家重点实验室,北京 102206
2. 华北电力大学河北省电力物联网技术重点实验室,河北 保定 071003
[ "秦鹏(1987- ),男,河南商丘人,博士,华北电力大学副教授、硕士生导师,主要研究方向为车联网、网络资源优化、天空地网络、智能电网信息通信技术等" ]
[ "和昊婷(1998- ),女,云南昆明人,华北电力大学硕士生,主要研究方向为车联网、无线通信网络资源优化等" ]
[ "赵雄文(1964- ),男,陕西清涧人,博士,华北电力大学教授、博士生导师,主要研究方向为无线通信与电力系统通信等" ]
[ "伏阳(2000- ),男,北京人,华北电力大学硕士生,主要研究方向为车联网、网络资源优化、天空地网络、智能电网等" ]
[ "张钰(1995- ),女,安徽六安人,华北电力大学博士生,主要研究方向为5G毫米波通信中的预编码技术、非正交多址接入技术、无线通信网络资源优化等" ]
[ "王淼(1997- ),女,山东临沂人,华北电力大学硕士生,主要研究方向为网络资源优化、物联网、天空地网络等" ]
[ "王硕(1997- ),男,河北石家庄人,华北电力大学硕士生,主要研究方向为边缘计算、天空地网络、无线通信网络资源优化等" ]
[ "武雪(1998- ),女,河北沧州人,华北电力大学硕士生,主要研究方向为网络资源优化、物联网、天空地网络等" ]
网络出版日期:2022-06,
纸质出版日期:2022-07-25
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秦鹏, 和昊婷, 赵雄文, 等. 基于停放车辆路边单元环境感知的车联网资源高效分配[J]. 通信学报, 2022,43(7):113-125.
Peng QIN, Haoting HE, Xiongwen ZHAO, et al. 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.
秦鹏, 和昊婷, 赵雄文, 等. 基于停放车辆路边单元环境感知的车联网资源高效分配[J]. 通信学报, 2022,43(7):113-125. DOI: 10.11959/j.issn.1000-436x.2022129.
Peng QIN, Haoting HE, Xiongwen ZHAO, et al. 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. DOI: 10.11959/j.issn.1000-436x.2022129.
为减少路边单元(RSU)部署,同时满足移动车辆用户对处理时延敏感和计算密集任务的需求,提出了基于停放车辆环境感知的资源分配算法。选择路边停放的车辆替代 RSU 为车辆用户提供服务,将停放时间作为选择停放车辆路边单元(PCRSU)的决策要素,分别在内容缓存和分发2个方面设计了减小需求响应时延的机制。在内容缓存方面,PCRSU 通过感知用户历史搜索数据与兴趣点区域类型两类要素对用户进行个性化的内容推荐。在内容分发方面,PCRSU 通过感知车辆用户的数据传输需求,对带宽进行高效分配。实验证明,与已有方法相比,所提算法能更合理地选择PCRSU,有效降低系统的需求响应时延,在保证网络覆盖的同时提升系统稳定性,并且能为车辆用户提供更加准确的服务内容。
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.
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