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An Optimal Energy Allocation Method in a Communication System Powered by Mixed Energy Sources

A communication system and energy distribution technology, applied in information technology support system, wireless communication, system integration technology and other directions, can solve difficult and unrealistic problems, solve the problem of dimensionality disaster, and reduce the needs of environmental prior knowledge Effect

Active Publication Date: 2021-07-30
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But both of these methods require prior knowledge of the environment to solve related problems with an ideal assumption, so it is unrealistic
Moreover, when the environment considered is complicated, it is difficult to use convex optimization and dynamic programming methods to solve problems

Method used

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  • An Optimal Energy Allocation Method in a Communication System Powered by Mixed Energy Sources
  • An Optimal Energy Allocation Method in a Communication System Powered by Mixed Energy Sources
  • An Optimal Energy Allocation Method in a Communication System Powered by Mixed Energy Sources

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Embodiment Construction

[0030] Such as figure 1 As shown, we consider a point-to-point communication system with energy harvesting devices. For the system's transmitter, data is transmitted by a mix of grid and variable battery power, which is charged by energy harvesting devices harvesting energy from the environment; data is pre-stored in a buffer, and there is always data in the buffer For transmission; the transmitted data is transmitted to the receiver through a quasi-static Rayleigh fading channel.

[0031] We consider a discrete dynamical system over an infinite time horizon, discretizing time into time points k ∈ κ = {1,2,...,K}, K → ∞, and each time point has duration T. At each time point k ∈ κ, the true state of the system is s k , but what the transmitter can obtain is the observed state of the system Therefore the transmitter can only observe the state based on the system Determine the transmit power p k .

[0032] In the system, the system observes the state from the available...

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Abstract

The invention discloses a method for optimizing energy distribution in a communication system powered by a hybrid energy source, the transmitter of the communication system is powered by a hybrid power grid and a variable battery, and the variable battery is collected from the environment by an energy harvesting device Energy to charge, including the following steps: use the binary search method to find the minimum grid energy supply D min , and the average throughput of the communication system can meet the specified requirements; in each search of the grid energy supply D, the online learning method is used to obtain the optimal energy allocation strategy. The invention enables the system to use the least grid energy as much as possible, and the average throughput of the system can reach the specified requirement.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to a method for optimizing energy allocation in a communication system powered by mixed energy sources, and further relates to a method for online learning of an optimal energy allocation strategy based on reinforcement learning (Reinforcement Learning). Background technique [0002] In modern society, communication systems have occupied an important position. Communication systems have entered many fields and played an important role in them. However, due to the increasingly wide application of communication systems and the large-scale growth of communication traffic, there are also more requirements for communication base stations. The most obvious is that the distribution of communication base stations is wider, and the number of communication base stations is also more, which leads to a more complicated power supply environment for communication base stations. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W72/04G06N3/08
CPCH04W72/0473G06N3/084H04W72/53Y02D30/70Y04S10/50Y02E40/70
Inventor 唐岚时占郭德邻张兴敢
Owner NANJING UNIV