Resource allocation method for RIS-assisted multi-unmanned aerial vehicle communication system

A multi-UAV and communication system technology, which is applied in the resource allocation field of RIS-assisted multi-UAV communication system, to achieve the effect of reducing energy consumption, improving spectrum efficiency, and enhancing signal coverage

Pending Publication Date: 2022-07-29
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problems of network coverage, user access and energy efficiency in view of the deficiencies of the prior art, and to establish a mathematical optimization based on the minimization of total energy consumption under the condition of ensuring the minimum transmission rate of users and the safe distance between UAVs Problem, joint optimization of UAV position deployment, intelligent reflector phase shift matrix, beamforming vector and transmission power, and demodulation sequence, providing a resource allocation method based on intelligent reflector-assisted multi-UAV

Method used

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  • Resource allocation method for RIS-assisted multi-unmanned aerial vehicle communication system
  • Resource allocation method for RIS-assisted multi-unmanned aerial vehicle communication system
  • Resource allocation method for RIS-assisted multi-unmanned aerial vehicle communication system

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Embodiment

[0090] A resource allocation method for RIS-assisted multi-UAV communication system, such as Figure 5 shown, including the following steps:

[0091] S1. Introduce the intelligent reflector into the multi-UAV-assisted non-orthogonal multiple access system, and construct the intelligent reflector-assisted multi-UAV communication system;

[0092] The details of the intelligent reflector-assisted multi-UAV communication system are as follows:

[0093] K four-rotor UAVs provide wireless communication services for K user groups, and each user group includes multiple users; the kth UAV serves the kth user group In this embodiment, K=2;

[0094] In this embodiment, all UAVs are equipped with N t = 32 antennas, and each user has 1 antenna;

[0095] Since the direct path between the drone and the user is blocked by obstacles, an intelligent reflective surface device with N=100 reflective units is deployed on the surface of the building to reflect the signal transmitted from the dron...

Embodiment 2

[0165] In this embodiment, a simulation effect diagram of a resource allocation method for a RIS-assisted multi-UAV communication system is as follows figure 2 shown.

[0166] figure 2 The other parameters are: the minimum transmission rate threshold ξ=1.5, the number of reflection units N=100, the number of antennas N t =4,8,...,32. In this example, the total power consumption of the present invention under different number of days is investigated. To show the performance gain, the power minimization scheme without considering the RIS and the power minimization scheme of the RIS-assisted UAV-OFDMA system are compared in this example. Among them, the minimum SINR value ξ is set to 1.5 and the number N of reflection units is set to 100. like figure 2 As shown, as the number of antennas increases, the total power consumption for all resource allocation schemes decreases. In fact, configuring a higher number of antennas on a UAV can achieve higher diversity gain to balan...

Embodiment 3

[0168] In this embodiment, a simulation effect diagram of a resource allocation method for a RIS-assisted multi-UAV communication system is as follows Figure 3-4 shown. Figure 3-4 The other parameters are: the minimum SINR and the number of antennas are ξ = 1.5 and N t = 32.

[0169] exist image 3 In this example, the total power consumption of the present invention under different numbers of RIS reflection units is studied. like image 3 As shown, the total power consumption of all resource allocation schemes decreases as the number of RIS reflection units increases. This is because the RIS optimization scheme proposed in the present invention can enhance the passive beamforming gain by controlling the phase shift coefficients of a large number of RIS reflection units, thereby reducing the system power consumption. In addition, in this embodiment, from image 3 It can be seen that the location of the RIS close to the UAV can significantly improve the performance gain...

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Abstract

The invention discloses a resource allocation method of an RIS-assisted multi-unmanned aerial vehicle communication system. The method comprises the following steps: introducing an intelligent reflecting surface into a multi-unmanned aerial vehicle assisted non-orthogonal multiple access system, and constructing an intelligent reflecting surface assisted multi-unmanned aerial vehicle communication system; establishing a mathematical model for minimizing the total energy consumption of the intelligent reflecting surface assisted multi-unmanned aerial vehicle communication system; and performing joint optimization of unmanned aerial vehicle position deployment and resource allocation. By means of the intelligent reflecting surface, the signal coverage range of the unmanned aerial vehicle is enhanced; by adopting the NOMA technology, a plurality of users can share the same spectrum resource under the constraint of ensuring the minimum transmission rate of the users, the access of massive users is realized, and the spectrum efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a resource allocation method of a RIS-assisted multi-unmanned aerial vehicle communication system. Background technique [0002] The rapid development of the Internet of Things (IoT) has led to the exponential growth of wireless devices that will support IoT applications such as automated manufacturing, virtual reality, smart homes, and smart cities. To support IoT applications, wireless networks need to meet high-performance requirements such as low-latency communication, ultra-high capacity, and massive connectivity. Non-orthogonal multiple access (NOMA) technology is considered as one of the technologies to meet these strict requirements. Spectral efficiency. However, despite the advantages of the NOMA scheme, the performance gain of the NOMA technique is still limited by the propagation environment, especially for users with small channel gain differences. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W16/10H04B7/185H04B7/0456
CPCH04W16/10H04B7/18506H04B7/0456H04W72/53
Inventor 唐杰冯婉媚马若炎苏智杰黄嘉毅
Owner SOUTH CHINA UNIV OF TECH
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