[1] Jiang Wei, Song Tiecheng, Wang Cong, Hu Jing, et al. Resource allocation for NOMA-based vehicular communications [J]. Journal of Southeast University (English Edition), 2020, 36 (1): 8-13. [doi:10.3969/j.issn.1003-7985.2020.01.002]

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Resource allocation for NOMA-based vehicular communications()

基于NOMA的车联网资源分配算法

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

36

Issue:

2020 1

Page:

8-13

Research Field:

Information and Communication Engineering

Publishing date:

2020-03-20

Info

Title:

Resource allocation for NOMA-based vehicular communications

基于NOMA的车联网资源分配算法

Author(s):

Jiang Wei;  Song Tiecheng;  Wang Cong;  Hu Jing

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

蒋伟;  宋铁成;  王聪;  胡静

东南大学移动通信国家重点实验室, 南京 210096

Keywords:

non-orthogonal multiple access;  vehicle to vehicle;  vehicle to infrastructure;  subchannel assignment;  power control

非正交多址接入;  车与车间通信;  蜂窝通信;  子信道分配;  功率分配

PACS:

TN929.5

DOI:

10.3969/j.issn.1003-7985.2020.01.002

Abstract:

To solve fast channel variations induced by the mobility of the vehicles and achieve effective and reliable vehicular communications, the non-orthogonal multiple access is applied to the vehicle to vehicle(V2V)pairs underlaid vehicle to infrastructure(V2I)users to solve the downlink resource allocation. A geographic position-based clustering algorithm for V2V users is proposed. The base station preassigns the channel resources and the Kuhn-Munkres algorithm is used to complete the channel assignment. Then, the verified particle swarm optimization(PSO)is adopted to achieve the optimal power allocation. The simulation results show that the proposed scheme outperforms the existing device to device(D2D)mechanism by improving the network connectivity, spectrum efficiency and data transmission rate.

为了改善车辆高速移动引起的快速时变信道, 实现有效可靠的车联网通信, 研究了将非正交多址接入(NOMA)应用于平直高速公路蜂窝通信车辆用户(V2I)场景下的下行单播传输用户对(V2V)车联网资源分配算法.提出基于地理位置的V2V分簇算法, 在基站端对信道资源进行预先分配.综合考虑V2I用户全局地理位置与分簇结果, 使用Kuhn-Munkres算法完成子信道分配.采用改进的粒子群算法获得各发送方车辆用户最优发送功率.仿真结果表明:与现有基于设备到设备(D2D)的车联网资源分配相比, 该算法有更高的网络连接能力, 可有效收敛并提升频谱利用率, 实现更高的传输速率.

References:

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Memo

Memo:

Biographies: Jiang Wei(1993—), male, graduate; Song Tiecheng(corresponding author), male, doctor, professor, songtc@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61771126), the Key Research and Development Project of Jiangsu Province(No.BE2018108).
Citation: Jiang Wei, Song Tiecheng, Wang Cong, et al. Resource allocation for NOMA-based vehicular communications.[J].Journal of Southeast University(English Edition), 2020, 36(1):8-13.DOI:10.3969/j.issn.1003-7985.2020.01.002.

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