Abstract
The high transmission performance of 5G provides the Internet of Vehicles (IoV) more opportunities for doing tasks which need to handle large amount of data within a small time span. However, 5G base station has a small coverage and a high cost which may restrict its development in the IoV. In this paper, we try to give some feasible solution for this problem. We will use two physical layer techniques, the coherent beamforming (CB) technology and the successive interference cancellation (SIC) technology to increase the total amount of data transmitted by vehicles while reducing network infrastructure costs. We first establish the mathematical model and prove it couldn’t be solved directly, and then design two algorithms, the Road and CB-nodes Assignment (RCA) algorithm and the Throughput Optimization of Vehicle Scheduling based on SIC (TOVSS) algorithm. Simulation results show that our method has the advantages of cost saving and throughput improvement.
Supported by the National Natural Science Foundation of China (Grant No. 61806067), the Anhui Provincial Key R&D Program of China (202004a05020040).
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Wu, L., Xu, J., Shi, L., Bi, X., Shi, Y. (2021). Jointly Optimizing Throughput and Cost of IoV Based on Coherent Beamforming and Successive Interference Cancellation Technology. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12939. Springer, Cham. https://doi.org/10.1007/978-3-030-86137-7_26
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DOI: https://doi.org/10.1007/978-3-030-86137-7_26
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