Research on Resource Allocation Algorithm Based on Service Heterogeneity in V2V Communication in C-V2X

LI Yibing; WANG Ningxin; LÜ Wei

doi:10.11999/JEIT211160

Volume 45 Issue 1

Jan. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(1): 235-242

LI Yibing, WANG Ningxin, LÜ Wei. Research on Resource Allocation Algorithm Based on Service Heterogeneity in V2V Communication in C-V2X[J]. Journal of Electronics & Information Technology, 2023, 45(1): 235-242. doi: 10.11999/JEIT211160

Citation:

LI Yibing, WANG Ningxin, LÜ Wei. Research on Resource Allocation Algorithm Based on Service Heterogeneity in V2V Communication in C-V2X[J]. Journal of Electronics & Information Technology, 2023, 45(1): 235-242. doi: 10.11999/JEIT211160

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Research on Resource Allocation Algorithm Based on Service Heterogeneity in V2V Communication in C-V2X

doi: 10.11999/JEIT211160

LI Yibing^{1, 2},
WANG Ningxin^{1, 2},
LÜ Wei^{3
,
,}

1.
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2.
Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin 150001, China
3.
Unicom (Heilongjiang) Industrial Internet Co., Ltd, Harbin 150001, China

Funds: The National Natural Science Foundation of China (51809056), The Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology (AMCIT21V3)

Received Date: 2021-10-21
Accepted Date: 2022-03-01
Rev Recd Date: 2022-02-26

Available Online: 2022-03-08

Publish Date: 2023-01-17

Abstract

Abstract

In a cellular network scenario that supports direct Vehicle-to-Vehicle(V2V) communication, the resource allocation problem of the uplink of multiple Vehicle-to-Infrastructure (V2I) in a dense environment is used. Under the interference of V2V, the slow fading statistics of the Channel State Information (CSI) of the mobile link is used, joint communication reliability, power control, an optimization model is established that maximizes the V2I channel capacity to meet the needs of heterogeneous vehicle network services. Based on this, a resource allocation algorithm based on hypergraph theory and genetic algorithm is proposed. The simulation results show that the algorithm improves the channel capacity of V2I under the premise of ensuring the reliability of V2V communication.
- Vehicle-to-Vehicle(V2V) communication,
- Resource allocation,
- Hypergraph theory,
- Genetic algorithm

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References(17)

References

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