Efficient and cooperative resource allocation method for cognitive Internet of Vehicles (IoV) based on asymmetrical relay transmission

Abstract

The invention provides a resource allocation method for the maximum system capacity of the cognitive Internet of Vehicles (IoV) based on asymmetrical relay transmission. The method is characterized inthat a target function is modeled through the distributed algorithm, the maximum system capacity is set as an optimization target, and requirements for the minimum communication rate of a cognitive system, interferences, powers and the like are added; during a near-optimal solution calculation process, sub-carrier allocation and relay allocation are carried out first, and power allocation is thencarried out after the optimum link selection is completed; regarding the problem that the performance and the complexity cannot be balanced through the conventional algorithms, an alternative optimization mechanism is adopted in a power allocation step to complete Lagrangian multiplier solution calculation, so that near-optimal power allocation is achieved; and resource allocation of the maximumsystem capacity is finally completed. A simulation experiment in a MATLAB communication simulation environment proves that the performance and the complexity can be balanced through the method.

Description

technical field [0001] The present invention relates to a cognitive vehicle networking technology, in particular to a resource allocation method for cognitive vehicle networking, and more specifically, to a resource allocation method for efficient joint cognitive vehicle networking based on asymmetric relay transmission. Background technique [0002] The Internet of Vehicles (IoV) refers to a huge Internet network composed of vehicle location, speed and route information. With the rapid development of information technology, people's requirements for communication are increasing day by day, and the rational and efficient allocation of communication resources is still a hot issue. Nowadays, resource allocation (Resource Allocation, RA) in IoV is facing many challenges, one of which is the shortage of spectrum resources. With the continuous increase of the number of IoV and related application infrastructure, the communication traffic volume has increased greatly, resulting i...

AI Technical Summary

Problems solved by technology

Some literatures proposed a vehicle ad hoc network (VANT) predictive routing based on hidden Markov model (PRHMM), using the regularity of vehicle motion behavior to improve transmission performance, but they did not consider the RA problem; some literatures proposed based on A power allocation algorithm with energy efficiency priority in cognitive relay networks, which studies a worst-case robust power allocation scheme to improve the uplink cooperative relay Orthogonal Frequency Division Multiple (OFDM) chain The energy efficiency of the road, the paper considers the channel between the primary user (Primary User, PU) and the secondary user (Secondary Use, SU) and the imperfect channel state information (Channel Situation Information, CSI), but did not consider the application to the IoV system

Furthermore, all the above works assume a symmetric RA, i.e. equal transmission duration between nodes, which is difficult to achieve for real channels

Another literature proposed a cross-layer asymmetric RA based on cognitive relay network, considering the requirements of queue stability and quality of service (Quality of Service, QoS), but it did not study IoV

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