NOMA cellular Internet of Vehicles dynamic resource scheduling method based on energy efficiency

Abstract

The invention relates to a NOMA cellular Internet of Vehicles dynamic resource scheduling method based on energy efficiency, and belongs to the field of mobile communication. The method is: in the scenario of a NOMA cellular network supporting V2V communication, according to the reliability of the V2V user, the V2V user delay, the NOMA user rate requirement, and the power limit of the user as constraint conditions, adopting the goal of maximizing long-term average efficiency; creating a random optimization model in combination of subchannel distribution of NOMA users, spectrum distribution ofV2V users and subchannel adjusting strategies. According to the method, the system energy efficiency can be maximized on the premise of ensuring the system stability, and the requirements of V2V usertime delay, reliability and NOMA user rate can be met at the same time.

Description

technical field [0001] The invention belongs to the field of mobile communication, and relates to an energy efficiency-based NOMA cellular vehicle networking dynamic resource scheduling method. Background technique [0002] In recent years, intelligent transportation system (ITS) has been receiving widespread attention. Cellular vehicle-to-vehicle communication (C-V2X), as a mainstream technology of vehicle networking, uses existing cellular communication technology to realize vehicle-to-infrastructure communication (C-V2I) And vehicle-to-vehicle direct communication (C-V2V), not only improves traffic efficiency, but also has the potential to meet ultra-high reliability and low latency requirements such as future autonomous driving. [0003] In the communication of a large number of vehicles in dense urban areas, spectrum resources are very scarce. On the one hand, making full use of limited spectrum resources and designing effective resource optimization algorithms can impr...

AI Technical Summary

Problems solved by technology

[0006] First of all, the previous research mainly considered the resource allocation problem of V2V communication under the OFDMA system, which limited the number of cellular users allowed to access the network.

In the NOMA cellular network scenario supporting V2V communication, a lot of work is focused on maximizing spectrum efficiency and throughput, without considering the resource allocation problem of maximizing system energy efficiency while ensuring V2V user delay and reliability

Moreover, in practice, the amount of data arrival exceeding the threshold of network capacity is likely to cause network congestion, and most studies have not combined congestion control into the resource optimization model

Finally, in the NOMA scenario that supports V2V communication, most of the existing literature considers the establishment of a static optimization model, which cannot dynamically schedule resources in real time according to the network load status.

Images