A method for maximizing throughput of centralized wireless relay network based on depth deterministic policy gradient

A wireless relay network and deterministic technology, applied in wireless communication, electrical components, power management, etc., can solve the problems of huge energy consumption and greenhouse gas emissions, and achieve the effects of increasing profits, reducing power consumption, and increasing system benefits

Active Publication Date: 2018-12-28
ZHEJIANG UNIV OF TECH
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[0003] However, the energy consumption generated by densely deploying relay base stati

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  • A method for maximizing throughput of centralized wireless relay network based on depth deterministic policy gradient
  • A method for maximizing throughput of centralized wireless relay network based on depth deterministic policy gradient
  • A method for maximizing throughput of centralized wireless relay network based on depth deterministic policy gradient

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Embodiment Construction

[0053] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0054] refer to figure 1 , a method for maximizing the throughput of energy-intensive wireless relay networks based on deep deterministic policy gradients, in other words, maximizing system benefits by maximizing throughput end-to-end through joint time scheduling and power allocation. The present invention is based on an energy-collecting wireless relay network system (such as figure 1 shown). In the energy-intensive wireless relay network system, the time scheduling and power allocation are optimized through the deep deterministic policy gradient method to achieve the maximum transmission rate. The invention proposes a renewable energy optimization method for maximizing throughput for the time scheduling and power control problems in energy-collecting wireless relay networks under the condition of limited data cache and energy storage batteries. The metho...

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Abstract

A method for maximizing throughput of a centralized radio relay network based on depth deterministic policy gradient comprises the following steps: 1) maximizing throughput in the centralized radio relay network through regenerative energy optimization management, wherein, the optimization problem is described as a multivariable optimization problem; 2) decomposing the problem P1 into two parts ofoptimization: Power sub-optimization and slot sub-optimization, i.e., deep deterministic strategy gradient method optimizes variables pi and (img file = 'DDA000173585526000011. TIF' wi= '48' he= '66'/) to obtain the optimal ri. A method for maximizing system efficiency with maximum throughput in a centralized radio relay network by combining time scheduling and power allocation is provided.

Description

technical field [0001] The invention relates to the technical field of energy-collecting wireless relay networks, in particular to a method for maximizing the throughput of energy-collecting wireless relay networks based on deep deterministic policy gradients. Background technique [0002] Mobile data traffic has been growing exponentially due to the proliferation of wireless devices and emerging multimedia services. Due to channel losses such as path loss, shadowing, and small-scale fading, more and more indoor and edge users may experience low-quality service performance. To overcome this obstacle, relay-assisted access technology has been proposed as a valuable solution to exploit energy efficiency and spatial diversity to improve user service quality indoors and at the cell edge. The relay base station will serve as a relay station for communication between edge users and macro cell base stations. [0003] However, the energy consumption generated by densely deploying ...

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Application Information

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IPC IPC(8): H04W24/02H04W52/26H04W52/46H04W72/04
CPCH04W24/02H04W52/26H04W52/46H04W72/0446H04W72/0473H04W72/53
Inventor 钱丽萍冯安琪冯旭黄玉蘋黄亮吴远
Owner ZHEJIANG UNIV OF TECH
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