Abstract
With the rapid development of Internet of vehicles (IoV) technology, the distribution of vehicles on the highway becomes more dense and the highly reliable communication between vehicles becomes more important. Nonorthogonal multiple access (NOMA) is a promising technology to meet the multiple access volume and the high reliability communication demands of IoV. To meet the Vehicle‐to‐Vehicle (V2V) communication requirements, a NOMA‐based IoV system is proposed. Firstly, a NOMA‐based resource allocation model in IoV is developed to maximize the energy efficiency (EE) of the system. Secondly, the established model is transformed into a Markov decision process (MDP) model and a deep reinforcement learning‐based subchannel and power allocation (DSPA) algorithm is designed. An event trigger block is used to reduce computation time. Finally, the simulation results show that NOMA can significantly improve the system performance compared to orthogonal multiaccess, and the proposed DSPA algorithm can significantly improve the system EE and reduce the computation time.
Highlights
With the rapid development of vehicle wireless communication technology, Internet of vehicles (IoV) has a broad development prospect [1]
When vehicles are deployed densely, IoV system would suffer from severe congestion, which affects the performance of the system. Such problems have been solved with the rise of 5th generation (5G) mobile networks. 5G introduces nonorthogonal multiple access (NOMA) technology that allows a resource block to be assigned to multiple users, greatly expanding the amount of access to the network [7]
We describe the scenario of the Nonorthogonal multiple access (NOMA)-enabled IoV system and present the resource allocation problem for maximizing the system EE
Summary
With the rapid development of vehicle wireless communication technology, Internet of vehicles (IoV) has a broad development prospect [1]. The reason is D2D communication following this principle is based on orthogonal multiple access (OMA) [6], a technology that does not make full use of spectrum resource and has difficulty in solving interference problems due to the increase in vehicles. 5G introduces nonorthogonal multiple access (NOMA) technology that allows a resource block to be assigned to multiple users, greatly expanding the amount of access to the network [7] In some cases, such as uplink communication intensive scenarios, NOMAenabled system has a significant performance improvement compared to OMA system. The simulation results show that the performance of the NOMA-enabled IoV system is more suitable for multiple vehicle access situations than OMA, and the DSPA algorithm can effectively enhance the system EE and reduce the computation time.
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