A Personalized QoS-based Resource Allocation for Cellular-Vehicle to Everything Network and Vehicle Ad-hoc Network Heterogeneous Vehicular Network

Zhenzhen HAN; Mo ZHOU; Enhui LIU; Chuan XU; Guofeng ZHAO

doi:10.11999/JEIT200429

Volume 43 Issue 5

May 2021

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(5): 1339-1348

Zhenzhen HAN, Mo ZHOU, Enhui LIU, Chuan XU, Guofeng ZHAO. A Personalized QoS-based Resource Allocation for Cellular-Vehicle to Everything Network and Vehicle Ad-hoc Network Heterogeneous Vehicular Network[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1339-1348. doi: 10.11999/JEIT200429

Citation:

Zhenzhen HAN, Mo ZHOU, Enhui LIU, Chuan XU, Guofeng ZHAO. A Personalized QoS-based Resource Allocation for Cellular-Vehicle to Everything Network and Vehicle Ad-hoc Network Heterogeneous Vehicular Network[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1339-1348. doi: 10.11999/JEIT200429

Citation:

Zhenzhen HAN, Mo ZHOU, Enhui LIU, Chuan XU, Guofeng ZHAO. A Personalized QoS-based Resource Allocation for Cellular-Vehicle to Everything Network and Vehicle Ad-hoc Network Heterogeneous Vehicular Network[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1339-1348. doi: 10.11999/JEIT200429

PDF( 4833 KB)

A Personalized QoS-based Resource Allocation for Cellular-Vehicle to Everything Network and Vehicle Ad-hoc Network Heterogeneous Vehicular Network

doi: 10.11999/JEIT200429

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Key Research and Development Project (2018YBF1800301, 2018YBF1800304)，Chongqing Graduate Research and Innovation Project (CYB18175, BYJS201803)，The Major Theme Special Project of Chongqing Technology Innovation and Application Development Special Project (cstc2019jscx-zdztzxX0013)

Received Date: 2020-05-29
Rev Recd Date: 2021-01-22

Available Online: 2021-02-03

Publish Date: 2021-05-18

Abstract

Abstract

The heterogeneous integration of Cellular-Vehicle to everything (C-V2X) and Vehicle Ad-hoc NETwork (VANET) can effectively increase network capacity. However, the channel conflicts caused by the coexistence of different networks on the unlicensed frequency bands will cause the system throughput to decrease and the user access delay to increase, which can not satisfy the Quality of Service (QoS) requirements. Considering this problem, a time-frequency resource allocation method based on personalized QoS is proposed. Firstly, the throughput and delay models of C-V2X and VANET are established respectively to determine the mathematical relationship between user data transmission time configuration and throughput and delay. Then, based on the above mathematical models, a Delay-Throughput Joint Optimization Algorithm (DT-JOA) is established to optimize throughput and delay in a heterogeneous network according to the personalized QoS requirements of users. Finally, a joint optimization algorithm for delay and throughput based on Particle Swarm Optimization (PSO) is proposed. The simulation results show that the proposed algorithm can meet the personalized QoS requirements of users and significantly improve the comprehensive performance of heterogeneous networks.
- Cellular-Vehicle to everything(C-V2X),
- Vehicle Ad-hoc NETwork(VANET),
- Heterogeneous network,
- Resources allocation

FullText(HTML)

References(16)

References

[1]	钱志鸿, 田春生, 郭银景, 等. 智能网联交通系统的关键技术与发展[J]. 电子与信息学报, 2020, 42(1): 2–19. doi: 10.11999/JEIT190787 QIAN Zhihong, TIAN Chunsheng, GUO Yinjing, et al. The key technology and development of intelligent and connected transportation system[J]. Journal of Electronics &Information Technology, 2020, 42(1): 2–19. doi: 10.11999/JEIT190787
[2]	张海霞, 李腆腆, 李东阳, 等. 基于车辆行为分析的智能车联网关键技术研究[J]. 电子与信息学报, 2020, 42(1): 36–49. doi: 10.11999/JEIT190820 ZHANG Haixia, LI Tiantian, LI Dongyang, et al. Research on vehicle behavior analysis based technologies for intelligent vehicular networks[J]. Journal of Electronics &Information Technology, 2020, 42(1): 36–49. doi: 10.11999/JEIT190820
[3]	CHEN Shanzhi, HU Jinling, YAN Shi, et al. Vehicle-to-everything (v2x) services supported by LTE-based systems and 5G[J]. IEEE Communications Standards Magazine, 2017, 1(2): 70–76. doi: 10.1109/MCOMSTD.2017.1700015
[4]	ABBAS F, FAN Pingzhi, KHAN Z, et al. A novel low-latency V2V resource allocation scheme based on cellular V2X communications[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(6): 2185–2197. doi: 10.1109/TITS.2018.2865173
[5]	QI Weijing, LANDFELDT B, SONG Qingyang, et al. Traffic differentiated clustering routing in DSRC and C-V2X hybrid vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(7): 7723–7734. doi: 10.1109/TVT.2020.2990174
[6]	WANG Pengfei, DI Boya, ZHANG Hongliang, et al. Cellular V2X communications in unlicensed spectrum: Harmonious coexistence With VANET in 5G systems[J]. IEEE Transactions on Wireless Communications, 2018, 17(8): 5212–5224. doi: 10.1109/TWC.2018.2839183
[7]	WEI Qing, LI Wang, FENG Zhiyong, et al. Wireless resource management in LTE-U driven heterogeneous V2X communication networks[J]. IEEE Transactions on Vehicular Technology, 2018, 67(8): 7508–7522. doi: 10.1109/TVT.2018.2823313
[8]	HUANG Xumin, YU Rong, KANG Jiawen, et al. Exploring mobile edge computing for 5G-enabled software defined vehicular networks[J]. IEEE Wireless Communications, 2017, 24(6): 55–63. doi: 10.1109/MWC.2017.1600387
[9]	DUO Ran, WU C, YOSHINAGA T, et al. SDN-based handover scheme in cellular/IEEE 802.11p Hybrid vehicular networks[J]. Sensors, 2020, 20(4): 1082. doi: 10.3390/s20041082
[10]	LI Xiaoshuai, MA Lin, SHANKARAN R, et al. Joint power control and resource allocation mode selection for safety-related V2X communication[J]. IEEE Transactions on Vehicular Technology, 2019, 68(8): 7970–7986. doi: 10.1109/TVT.2019.2921352
[11]	AMADEO M, CAMPOLO C, and MOLINARO A. Enhancing IEEE 802.11p/WAVE to provide infotainment applications in VANETs[J]. Ad Hoc Networks, 2012, 10(2): 253–269. doi: 10.1016/j.adhoc.2010.09.013
[12]	CHEN Chen, WANG Baoji, and ZHANG Rongqing. Interference hypergraph-based resource allocation (IHG-RA) for NOMA-integrated V2X networks[J]. IEEE Internet of Things Journal, 2019, 6(1): 161–170. doi: 10.1109/JIOT.2018.2875670
[13]	DI Boya, SONG Lingyang, and LI Yonghui. Sub-channel assignment, power allocation, and user scheduling for non-orthogonal multiple access networks[J]. IEEE Transactions on Wireless Communications, 2016, 15(11): 7686–7698. doi: 10.1109/TWC.2016.2606100
[14]	LEE K, KIM J, PARK Y, et al. Latency of cellular-based V2X: Perspectives on TTI-proportional latency and TTI-independent latency[J]. IEEE Access, 2017, 5: 15800–15809. doi: 10.1109/ACCESS.2017.2731777
[15]	TONG Weiyang, CHOWDHURY S, and MESSAC A. A multi-objective mixed-discrete particle swarm optimization with multi-domain diversity preservation[J]. Structural and Multidisciplinary Optimization, 2016, 53(3): 471–488. doi: 10.1007/s00158-015-1319-8
[16]	PRASAD S and RAMESH J. Partial transmit sequence based PAPR reduction with GA and PSO optimization techniques[C]. 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India, 2017: 1–4. doi: 10.1109/ICIIECS.2017.8276004.