A resource allocation method based on transmit power minimization in an energy-carrying multi-carrier NOMA system

A technology of transmitting power and resource allocation, applied in the field of green communication, can solve the problem of large network energy consumption, and achieve the effect of less transmission power and minimization of transmission power

Inactive Publication Date: 2019-06-07
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] On the other hand, network energy consumption is huge, and energy shortage has become a global problem. In addition, with the popularity of mobile terminal equipment worldwide, how to improve the battery life of terminal equipment has become a key issue in the context of resource shortage. question

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  • A resource allocation method based on transmit power minimization in an energy-carrying multi-carrier NOMA system
  • A resource allocation method based on transmit power minimization in an energy-carrying multi-carrier NOMA system
  • A resource allocation method based on transmit power minimization in an energy-carrying multi-carrier NOMA system

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Embodiment

[0023] Such as figure 1 As shown, this embodiment provides a method for resource allocation based on the minimization of transmission power in an energy-carrying multi-carrier NOMA system, including the following steps:

[0024] Step 1: Establish the network model of the multi-carrier NOMA system with energy: the wireless energy-carrying technology using the time switching scheme (TimeSwitching, TS) and the multi-carrier NOMA system using the pattern division multiple access technology (Pattern Division Multiple Access, PDMA) Combined, the system model as figure 2 shown; specifically include the following:

[0025] The energy-carrying multi-carrier NOMA system consists of a base station (Base Station, BS) and K users randomly distributed in the cellular network, and the set of all user indexes is expressed as

[0026] The total available bandwidth B of the system is evenly divided into N subcarriers, and the set of all subcarrier indexes is expressed as The bandwidth of...

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Abstract

The invention discloses a resource allocation method based on transmitting power minimization in an energy-carrying multi-carrier NOMA system. The method comprises the following steps: (1) establishing a network model of the energy-carrying multi-carrier NOMA system; (2) establishing a mathematical model of the joint resource allocation scheme based on the minimum transmitting power, wherein the mathematical model comprises carrier scheduling, power allocation and time switching coefficients; And (3) designing and analyzing the algorithm of the joint resource allocation scheme based on the genetic algorithm. According to the invention, a wireless energy carrying technology (SWIPT) is innovatively provided to be applied to a multi-carrier NOMA (Non-Orthogonal Multiple Access) system; the mathematical optimization problem of the network model based on the minimum transmitting power is established; A joint resource allocation strategy is designed by applying a genetic algorithm, so that the transmitting power of the energy-carrying multi-carrier NOMA system is minimized while the requirement of a user on quality of service (QoS) is met.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a resource allocation method based on the minimization of transmission power in a NOMA system with energy carrying multi-carriers, and belongs to the category of green communication. Background technique [0002] In recent years, the continuous upgrading of wireless communication technology has brought profound changes to all aspects of human social life. With the rapid growth of mobile data services, the widespread popularity of mobile terminal equipment and the continuous expansion of the Internet of Things industry, future wireless communication technologies are facing increasingly severe challenges. In addition to the need to further improve traditional performance indicators such as high speed, low latency, mobility, and reliability, the future fifth-generation (5G) mobile communication technology also needs to consider the improvement of performance indicator...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04W24/06H04B17/382
CPCY02D30/70
Inventor 唐杰罗静慈冯婉媚宋静茹唐珩膑苏智杰
Owner SOUTH CHINA UNIV OF TECH
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