Abstract
The traditional rate adaptive algorithm based on channel detection fails to work well under the vehicular network of which channel quality changes quickly because of the fixed threshold of rate switching. This paper proposes a rate adaptive algorithm with loss differentiation for vehicle network based on the probabilities of which kinds of frame lost (PLDRA). This paper proposes a suitable threshold of SNR-MCS switching for IEEE 802.11p under VANET. And by comparing the size of frame error rate and collision rate as the basis of packet loss, the next transmission rate is selected by using both the threshold and situation of packet loss. Simulation results show that the PLDRA algorithm can achieve higher accuracy for channel quality prediction and higher system throughput under VANET, compared with ARF algorithm and FARA algorithm.
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Acknowledgements
Shubin Wang (wangshubin@imu.edu.cn) is the correspondent author. This work was supported by the National Natural Science Foundation of China (61761034, 61261020); the Natural Science Foundation of Inner Mongolia, China (2016MS0616); and the Enhancing Comprehensive Strength Foundation of Inner Mongolia University (No. 10000-16010109-57).
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Du, J., Wang, S., Wang, M., Wang, C. (2019). PLDRA: Probability-Based Loss Differentiation Rate Adaptive Algorithm for IEEE 802.11p. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_58
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DOI: https://doi.org/10.1007/978-981-13-6264-4_58
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