Cache and communication resource intelligent scheduling method for single relay of Internet of Things

Abstract

The invention discloses an intelligent scheduling method for cache and communication resources of a single relay of the Internet of Things, and the method comprises the following steps: aiming at the problem of low efficiency of a traditional static cache distribution mode, carrying out modeling analysis by adopting a queuing theory M / M / 1 / N / infinity model, and carrying out cache modeling and channel modeling; then calculating a system state transition probability, channel transmission power and a system utility value; modeling a data transmission scheduling problem into a Markov decision process; and finally obtaining an optimal transmission mechanism based on a deep reinforcement learning algorithm. According to the invention, a proper modulation mode can be selected on a better channel according to user requirements, and the overall effectiveness of the system is improved.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and in particular relates to an intelligent scheduling method for caching and communication resources of the Internet of Things. Background technique [0002] The Internet of Things is a promising technology that can provide wide-area coverage and high throughput for massively connected devices. In this case, the relay is very important to help enable ubiquitous information exchange. However, in IoT single-relay systems, joint scheduling of buffers and channels is a great challenge due to limited buffer space and scarcity of channel spectrum. At present, there are few joint scheduling algorithms to solve this problem, among which buffer efficiency and channel selection schemes deserve further development to improve the practicability of the system. [0003] First, from the perspective of cache efficiency, some literatures are devoted to the study of efficient cache allocation met...

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Problems solved by technology

[0005] In order to overcome the deficiencies of the prior art, the present invention provides a single-relay caching and communication resource intelligent scheduling method for the Internet of Things. Firstly, the queuing theory M / M / 1 is adopted to solve the problem of low efficiency of the traditional static cache allocation method. / N / ∞ model for modeling analysis, cache modeling and channel modeling; then calculate the system state transition probability, channel transmission power and system utility value; next, the data transmission scheduling problem is modeled as a Markov decision process; Finally, the optimal transmission mechanism is obtained based on the deep reinforcement learning algorithm; the present invention can select an appropriate modulation mode on a better channel according to user needs, and improve the overall utility of the system

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