Abstract
With the rapid increase of vehicular Internet of things applications, it is urgent to design a mobile edge computing architecture which is possible to distribute and process a large amount of contents with vehicles on the road. From a communication perspective, the current cellular technology faces challenges due to the limited bandwidth in a dense vehicle environment. In this paper, we propose a multi-access edge computing framework and the corresponding communication protocol which integrates licensed Sub-6 GHz band, IEEE 802.11p, and millimeter wave (mmWave) communications for the content distribution and processing in vehicular networks. The proposed protocol uses a cluster-based approach where a fuzzy logic-based algorithm is employed to select efficient gateway nodes which bridge the licensed Sub-6 GHz communication and the mmWave communication in order to maximize the overall network throughput. IEEE 802.11p vehicle-to-vehicle communication is used to share information among vehicles in order to achieve efficient clustering. We conduct extensive simulations to evaluate the performance of the proposed protocol under various network conditions. Simulation results show that the proposed protocol can achieve significant improvements in various scenarios compared to the existing approaches.
| Original language | English |
|---|---|
| Pages (from-to) | 1995-2004 |
| Number of pages | 10 |
| Journal | IEEE Access |
| Volume | 6 |
| DOIs | |
| Publication status | Published - 2018 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- and fuzzy logic
- Bandwidth
- Computer architecture
- Edge computing
- IEEE 802.11p
- mmWave
- Mobile communication
- Multi-access Edge Computing
- Protocols
- Sub-6 GHz band
- Throughput
- vehicular networks
- Wireless communication
Cite this
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Vehicular Multi-access Edge Computing with licensed Sub-6 GHz, IEEE 802.11p and mmWave. / Hu, Qitu; Wu, Celimuge; Zhao, Xiaobing; Chen, Xianfu; Ji, Yusheng; Yoshinaga, Tsutomu.
In: IEEE Access, Vol. 6, 2018, p. 1995-2004.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Vehicular Multi-access Edge Computing with licensed Sub-6 GHz, IEEE 802.11p and mmWave
AU - Hu, Qitu
AU - Wu, Celimuge
AU - Zhao, Xiaobing
AU - Chen, Xianfu
AU - Ji, Yusheng
AU - Yoshinaga, Tsutomu
PY - 2018
Y1 - 2018
N2 - With the rapid increase of vehicular Internet of things applications, it is urgent to design a mobile edge computing architecture which is possible to distribute and process a large amount of contents with vehicles on the road. From a communication perspective, the current cellular technology faces challenges due to the limited bandwidth in a dense vehicle environment. In this paper, we propose a multi-access edge computing framework and the corresponding communication protocol which integrates licensed Sub-6 GHz band, IEEE 802.11p, and millimeter wave (mmWave) communications for the content distribution and processing in vehicular networks. The proposed protocol uses a cluster-based approach where a fuzzy logic-based algorithm is employed to select efficient gateway nodes which bridge the licensed Sub-6 GHz communication and the mmWave communication in order to maximize the overall network throughput. IEEE 802.11p vehicle-to-vehicle communication is used to share information among vehicles in order to achieve efficient clustering. We conduct extensive simulations to evaluate the performance of the proposed protocol under various network conditions. Simulation results show that the proposed protocol can achieve significant improvements in various scenarios compared to the existing approaches.
AB - With the rapid increase of vehicular Internet of things applications, it is urgent to design a mobile edge computing architecture which is possible to distribute and process a large amount of contents with vehicles on the road. From a communication perspective, the current cellular technology faces challenges due to the limited bandwidth in a dense vehicle environment. In this paper, we propose a multi-access edge computing framework and the corresponding communication protocol which integrates licensed Sub-6 GHz band, IEEE 802.11p, and millimeter wave (mmWave) communications for the content distribution and processing in vehicular networks. The proposed protocol uses a cluster-based approach where a fuzzy logic-based algorithm is employed to select efficient gateway nodes which bridge the licensed Sub-6 GHz communication and the mmWave communication in order to maximize the overall network throughput. IEEE 802.11p vehicle-to-vehicle communication is used to share information among vehicles in order to achieve efficient clustering. We conduct extensive simulations to evaluate the performance of the proposed protocol under various network conditions. Simulation results show that the proposed protocol can achieve significant improvements in various scenarios compared to the existing approaches.
KW - and fuzzy logic
KW - Bandwidth
KW - Computer architecture
KW - Edge computing
KW - IEEE 802.11p
KW - mmWave
KW - Mobile communication
KW - Multi-access Edge Computing
KW - Protocols
KW - Sub-6 GHz band
KW - Throughput
KW - vehicular networks
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85038372886&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2017.2781263
DO - 10.1109/ACCESS.2017.2781263
M3 - Article
VL - 6
SP - 1995
EP - 2004
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
ER -