A dynamic resource scheduling method for noma cellular Internet of Vehicles based on energy efficiency

Abstract

The invention relates to an energy efficiency-based NOMA cellular vehicle networking dynamic resource scheduling method, which belongs to the field of mobile communication. The method is: in the NOMA cellular network scenario supporting V2V communication, according to the constraints of V2V user reliability, V2V user delay, NOMA user rate requirement and user power limit, the long-term average energy efficiency of the system energy efficiency is maximized In order to optimize the target, a stochastic optimization model of joint NOMA user's sub-channel allocation, V2V user's spectrum allocation and congestion control requirements is established, and power allocation and sub-channel scheduling strategies are formulated for NOMA users and V2V users. The present invention can maximize the energy efficiency of the system under the premise of ensuring the stability of the system, and simultaneously satisfy the time delay and reliability of the V2V user and the rate requirement of the NOMA user.

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.

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