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Energy efficiency resource allocation method based on wireless energy-carrying communication in distributed antenna system

A wireless energy-carrying communication and distributed antenna technology, applied in wireless communication, power management, electrical components, etc., can solve the problems of not considering noise, not perfect system model establishment, not considering energy harvesting, etc., and achieve low computational complexity Effect

Active Publication Date: 2020-09-22
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, the above two articles did not consider the part of energy collection in the total energy consumption of the system, nor did they consider the noise generated during information processing, so the establishment of the system model is not perfect

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  • Energy efficiency resource allocation method based on wireless energy-carrying communication in distributed antenna system
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  • Energy efficiency resource allocation method based on wireless energy-carrying communication in distributed antenna system

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] The present invention is based on a suboptimal resource allocation method of a distributed antenna system under wireless energy carrying communication, comprising the following steps:

[0021] (1) Firstly, the structure of the downlink single-cell distributed antenna system is given. The system distributes N remote antenna units in a circular cell, and the radius of the cell is R. Each remote antenna unit is connected to the central base station of the cell through an optical fiber, a coaxial cable or a dedicated wireless link. The present invention only considers a single user profile and all RAUs and users are equipped with a single antenna;

[0022] (2) According to the definition of energy efficiency, the energy efficiency expression of the distributed DAS-SWIPT system is obtained;

[0023] (3) Give the energy-efficient objective optimization function in t...

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Abstract

The invention provides an energy efficiency resource allocation method based on wireless energy-carrying communication in a distributed antenna system. Aiming at a distributed antenna system, a systemmodel is constructed by means of a wireless energy-carrying communication technology of a power division structure; in consideration of high complexity of a traversal method, an antenna selection technology is utilized to convert an original multi-dimensional optimization problem into a two-dimensional solution problem, and a corresponding suboptimal resource allocation method is provided. Simulation results show that under the constraint of high power, the proposed suboptimal resource allocation method can obtain energy efficiency similar to that of the optimal allocation method while reducing complexity.

Description

Technical field: [0001] The invention belongs to the field of mobile communication, and relates to a resource allocation method of a mobile communication system, in particular to a resource allocation method in a distributed antenna system based on wireless energy carrying communication. Background technique: [0002] Distributed Antenna System (Distributed Antenna System, DAS) is an effective "green communication" technology, which is a research hotspot in academia and industry. At the same time, since the Remote Antenna Unit (RAU) in the DAS is scattered in different locations of the cell, the user can choose to communicate with the antenna that is closer to him, which can reduce the wireless access distance between the antenna and the user. , so as to reduce the path loss of wireless propagation and effectively improve the user performance at the edge of the cell. Under this condition, the transmission power of the antenna can be reduced to obtain higher energy efficienc...

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Application Information

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IPC IPC(8): H04W52/24H04W52/34
CPCH04W52/241H04W52/242H04W52/346Y02D30/70
Inventor 虞湘宾储君雅王光英汪曦许方铖杜雨衡党小宇
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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