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Power distribution method for maximizing energy efficiency in uplink NOMA system

A technology of energy efficiency and allocation method, applied in the field of communication, can solve the problem of high computational complexity and achieve the effect of reducing the amount of calculation

Active Publication Date: 2019-11-26
HENAN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing power allocation for maximizing energy efficiency mostly uses iterative algorithms, and the computational complexity is high

Method used

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  • Power distribution method for maximizing energy efficiency in uplink NOMA system
  • Power distribution method for maximizing energy efficiency in uplink NOMA system
  • Power distribution method for maximizing energy efficiency in uplink NOMA system

Examples

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Embodiment Construction

[0026] An embodiment of the present invention is given below to further describe the present invention in detail. like figure 1 As shown, consider a single-cell uplink NOMA system including 1 base station and M users, and both the base station and the users are configured with a single antenna. use u m Indicates the mth user, m=1,2,...M. All users use the same frequency band, u m The channel to the base station is h m ,|h 1 | 2 ≥|h 2 | 2 ≥…≥|h M | 2 . u m the power of p m , is user u m Maximum transmit power.

[0027] Use y to represent the received signal of the base station, and the expression form of y is

[0028]

[0029] where x m is u m The transmitted signal, n is Gaussian white noise received by the base station, the mean is zero and the variance is σ 2 . Same as the document "Energy-efficient power allocation for uplink NOMA", the base station detects the transmitted signal of each user in order of decreasing signal strength and reduces the int...

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Abstract

The invention discloses a power distribution method for maximizing energy efficiency in an uplink NOMA (Non-Orthogonal Multiple Access) system, which is suitable for the uplink NOMA system comprisinga base station and M users, and the base station and the users are configured with single antennas. The base station calculates the minimum power required by each user according to the channel condition and the minimum unit bandwidth rate requirement of each user; a power distribution optimization problem which satisfies the lowest rate requirement of the user and maximizes the energy efficiency is established; and the optimization problem is solved to obtain the total power of all users when the energy efficiency is maximum, then the minimum power required by the user is allocated to the lastuser according to the descending order of the channel intensity, and the rest power is allocated to the user with the highest channel intensity.

Description

technical field [0001] The invention relates to the communication field, in particular to a power allocation method for maximizing energy efficiency in an uplink NOMA system. Background technique [0002] With the rapid development of the Internet of Things and the Internet, smart terminals are becoming more and more popular, and the requirements for connection density, traffic density, user experience rate, peak rate, delay, and mobility of mobile communication systems are getting higher and higher. At the same time, the increasingly scarce spectrum resources limit the connection of large-scale smart terminals. Therefore, in the face of mass user access, a Non-Orthogonal Multiple Access (NOMA) technology is introduced. The NOMA technology of power domain multiplexing is one of the candidate technologies for 5G networks. While meeting the requirements of 5G for spectrum efficiency, it can also meet the requirements of low latency, high reliability, and large-scale connectio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/318H04B17/336H04B17/382H04W24/02H04W72/04H04W72/08H04W72/54
CPCH04B17/318H04B17/382H04B17/336H04W24/02H04W72/0473H04W72/542Y02D30/70
Inventor 李兴旺陈慧黄玉霞李晓静
Owner HENAN POLYTECHNIC UNIV