A noma-based resource allocation method for Internet of Vehicles

Abstract

The present invention provides a NOMA-based vehicle networking resource allocation method, which can effectively improve network access capabilities and significantly increase the total transmission rate of all users. The method of the present invention firstly introduces the concept of clustering, and the base station merges the users into clusters according to the geographic location of the VUE users, and the users in the same cluster can share the same frequency spectrum resource. Then, in order to reduce the co-channel interference between CUE and V2V, the Hungarian algorithm is used to determine the CUE users and VUE user clusters sharing the same spectrum resources, and finally, the particle swarm optimization algorithm is used to iteratively optimize the non-convex problems in the VUE user cluster to obtain each The suboptimal transmit power of the V2V sender, and calculate the corresponding suboptimal VUE throughput. The present invention applies NOMA to V2V unicast users in the communication between vehicles. On the basis of ensuring the service quality of V2I and V2V communication, the total throughput of V2V users reaches the maximum value, and provides a solution for the V2X resource allocation problem under NOMA. new ideas.

Description

technical field [0001] The invention relates to a NOMA-based resource allocation method for the Internet of Vehicles, and belongs to the technical field of wireless resource allocation for the Internet of Vehicles. Background technique [0002] In recent years, non-orthogonal multiple access technology (NOMA) has become a research hotspot to further improve spectrum utilization. The NOMA technology was first proposed in 2014. Its purpose is to make more efficient use of spectrum resources under the premise of satisfying user quality of service (QoS), and to provide a theoretical basis for the future deployment of smaller cells. Different from traditional orthogonal transmission, NOMA uses non-orthogonal transmission at the sending end, actively introduces interference information, and realizes correct demodulation through serial interference cancellation technology at the receiving end. Compared with orthogonal transmission, the receiver complexity is increased, but higher ...

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Problems solved by technology

However, its research is still insufficient. The resource allocation schemes in the existing literature rarely introduce NOMA for resource allocation in the 5G Internet of Vehicles scenario. How to jointly consider the perception and resource allocation requirements caused by the high-speed movement of vehicles is a current research issue.

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