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Energy Efficiency Optimization Method for Large-Scale MIMO System for Wireless Power Transmission under Hardware Damage

A technology of wireless energy transmission and optimization method, applied in radio transmission systems, transmission systems, digital transmission systems, etc., can solve the problem of not considering the minimum signal-to-noise ratio requirements of users, not considering the impact of hardware damage on the system, and not considering hardware damage And other issues

Active Publication Date: 2021-03-23
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] G.Yang, C.K.Ho, R.Zhang and Y.L.Guan's literature "Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (throughput optimization of massive MIMO for wireless energy transmission)" IEEE Journal on Selected Areas in Communications, vol. 33, no.8, pp.1640-1650, Aug.2015. Researched the throughput maximization method of massive MIMO system based on wireless energy transmission, but did not consider the influence of hardware damage, nor the problem of system energy efficiency
Q.Wu, W.Chen, D.W.Kwan Ng, J.Li and R.Schober, "User Centric Energy Efficiency Maximization for Wireless Powered Communications" IEEE Transactions on Wireless Communications , vol.15, no.10, pp.6898-6912, Oct.2016. Considering the energy efficiency of the joint power and time optimized wireless energy transfer system, but not considering the minimum signal-to-noise ratio requirement of each user, while considering The system model in this paper is a single-antenna system, which does not take into account the large-scale multi-antenna system, nor does it consider the impact of hardware damage on the system
The invention patent with the publication number CN106506052A (named "A Method for Improving Communication Energy Efficiency Based on Antenna Selection in a Massive MIMO System") aims to improve the energy efficiency of Massive MIMO based on antenna selection, but this method does not take power allocation and hardware into account The impact of damage on the system, etc.
The invention with the publication number CN106452525A (named "A joint optimization method of energy efficiency, spectrum efficiency and QoS in massive MIMO") discloses a massive MIMO system based on user scheduling and power allocation that guarantees user delay and rate requirements The joint optimization scheme of spectral efficiency and energy efficiency, but ignores the impact of hardware damage on system energy efficiency

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  • Energy Efficiency Optimization Method for Large-Scale MIMO System for Wireless Power Transmission under Hardware Damage
  • Energy Efficiency Optimization Method for Large-Scale MIMO System for Wireless Power Transmission under Hardware Damage
  • Energy Efficiency Optimization Method for Large-Scale MIMO System for Wireless Power Transmission under Hardware Damage

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Embodiment Construction

[0052] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0053] The technical scheme that the present invention solves the problems of the technologies described above is:

[0054] Figure 7 A massive MIMO system energy efficiency optimization method for wireless energy transmission under hardware damage is disclosed. It includes the following steps:

[0055] The first step: calculate the feasibility, if it is not feasible, remove the number of users until it is feasible and go to step two;

[0056] Step 2: Initialize energy efficiency λ (2) , lambda (1) , the initial value of iteration out=2, the maximum number of iterations of the outer loop out max and accuracy requirements Initialize F(λ) (0) , in=0, the maximum number of iterations in the inner lay...

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Abstract

The invention claims to protect a method for optimizing energy efficiency of a massive MIMO system for wireless energy transmission under hardware damage. The present invention establishes a large-scale MIMO system energy efficiency maximization model based on wireless energy transmission under the condition of hardware damage, introduces admissible control while ensuring the user's QoS requirements, and converts the original nonlinear fractional programming problem through equivalent conversion and variable replacement Simplify the original problem, and finally transform it into a convex optimization problem, and use the block coordinate descent method to calculate. The invention has the advantages of low computational complexity and strong channel adaptability, and at the same time ensures the QoS constraints of sensor nodes, and is especially suitable for a large-scale MIMO system based on wireless energy transmission under hardware conditions.

Description

technical field [0001] The invention belongs to the field of resource allocation in a massive MIMO system, in particular, a resource allocation method for joint power and time under the condition of hardware damage in a massive MIMO system based on wireless energy transmission. Background technique [0002] Wireless devices such as wireless sensor networks are powered by batteries and require manual charging or battery replacement. Wired charging is currently the dominant method for batteries in wireless devices, but replacing batteries and charging them can often be costly or even impractical in many situations, such as in hazardous areas or in medical devices implanted in the body. At this time, wireless power transfer (WPT) has attracted the attention of radio research and prolongs the lifetime of energy-constrained networks. In traditional wireless transmission architectures, energy transmission is not efficient. Therefore, considering the use of massive multiple-input...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L5/00H04W72/04H04W72/08H04B7/0426
CPCH04B7/0426H04L5/0005H04L5/0048H04L5/006H04W72/0473H04W72/542
Inventor 王正强杨晓娜万晓榆杨晓霞樊自甫黄坤豪张朕肖文睿
Owner CHONGQING UNIV OF POSTS & TELECOMM
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