CN105188143A - Optimum power distribution method based on peak value power constraint efficiency - Google Patents

Optimum power distribution method based on peak value power constraint efficiency Download PDF

Info

Publication number
CN105188143A
CN105188143A CN201510316831.4A CN201510316831A CN105188143A CN 105188143 A CN105188143 A CN 105188143A CN 201510316831 A CN201510316831 A CN 201510316831A CN 105188143 A CN105188143 A CN 105188143A
Authority
CN
China
Prior art keywords
energy efficiency
power
secondary user
user
peak
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510316831.4A
Other languages
Chinese (zh)
Other versions
CN105188143B (en
Inventor
韩春雷
张映霓
宋英杰
齐佩汉
胡军锋
陈赤联
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CETC 20 Research Institute
Original Assignee
CETC 20 Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CETC 20 Research Institute filed Critical CETC 20 Research Institute
Priority to CN201510316831.4A priority Critical patent/CN105188143B/en
Publication of CN105188143A publication Critical patent/CN105188143A/en
Application granted granted Critical
Publication of CN105188143B publication Critical patent/CN105188143B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0473Wireless resource allocation based on the type of the allocated resource the resource being transmission power
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. Transmission Power Control [TPC] or power classes
    • H04W52/04Transmission power control [TPC]
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/24TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/243TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

本发明提供了一种基于峰值功率约束能效最佳功率分配方法,首先设置算法参数,包过容错误差、算法最大迭代次数、主用户能容忍的峰值干扰功率及次级用户峰值发送功率,然后初始化算法参数,循环计算最佳能效下的最佳发送功率,直至能效函数小于容错误差或者迭代次数超过最大迭代次数。本发明能够解决现有认知无线电中基于衰落信道下采用频谱共享机制峰值功率约束功率分配方法无法获得能效最大化及采用平均干扰需要复杂迭代计算拉格朗日乘子问题,具有能效最大化、收敛速度快、易于实现的优点,可用于无线通信。

The present invention provides a method for optimal power allocation based on peak power constraint energy efficiency. Firstly, algorithm parameters are set, including over-tolerance error error, maximum number of iterations of the algorithm, peak interference power that can be tolerated by the primary user, and peak transmission power of the secondary user, and then initialized. Algorithm parameters, cyclically calculate the optimal transmit power under the optimal energy efficiency until the energy efficiency function is less than the error tolerance or the number of iterations exceeds the maximum number of iterations. The present invention can solve the problem that the energy efficiency maximization cannot be obtained by adopting the peak power constraint power allocation method of the spectrum sharing mechanism under the fading channel in the existing cognitive radio and the complex iterative calculation of the Lagrangian multiplier is required by the average interference, and has the advantages of energy efficiency maximization, The advantages of fast convergence and easy implementation can be used in wireless communication.

Description

基于峰值功率约束能效最佳功率分配方法Energy Efficiency Optimal Power Allocation Method Based on Peak Power Constraint

技术领域technical field

本发明属于无线通信技术领域,涉及一种认知无线电系统中基于频谱共享机制的功率分配方法,可用于绿色认知无线电系统中基于峰值功率约束能效最大化的功率分配。The invention belongs to the technical field of wireless communication, and relates to a power allocation method based on a spectrum sharing mechanism in a cognitive radio system, which can be used for power allocation based on peak power constraint energy efficiency maximization in a green cognitive radio system.

背景技术Background technique

无处不在的无线业务以及急剧增加的移动设备数量导致大量的能量消耗和温室气体的排放。绿色通信网络是未来无线网络设计不可避免的趋势。与此同时,日益增长的无线频谱需求与有限的频谱资源之间的矛盾已经成为当前无线通信行业的突出矛盾。为了提高频谱利用率,J.Mitola等人提出了认知无线电的概念,其主要思想是在已授权的频段内,在不影响主用户正常通信的前提下,允许次级用户接入到当前频段,从而大幅度提高频谱利用率。由于基于频谱共享机制的认知无线电能提供更高频谱利用率及更好的保护好主用户,基于频谱共享机制的认知无线电得到广泛的研究。频谱共享机制的主要思想是,次级用户在对主用户产生的干扰小于主用户最大干扰容忍度情况下,次级用户可以与主用户共享频段,进行业务传输。The ubiquitous wireless services and the rapidly increasing number of mobile devices lead to massive energy consumption and greenhouse gas emissions. Green communication network is an inevitable trend in future wireless network design. At the same time, the contradiction between the increasing demand for wireless spectrum and the limited spectrum resources has become a prominent contradiction in the current wireless communication industry. In order to improve spectrum utilization, J.Mitola et al. proposed the concept of cognitive radio. The main idea is to allow secondary users to access the current frequency band in the authorized frequency band without affecting the normal communication of the primary user. , thereby greatly improving the spectrum utilization. Since the cognitive radio based on the spectrum sharing mechanism can provide higher spectrum utilization and better protect primary users, the cognitive radio based on the spectrum sharing mechanism has been extensively studied. The main idea of the spectrum sharing mechanism is that when the interference caused by the secondary user to the primary user is less than the maximum interference tolerance of the primary user, the secondary user can share the frequency band with the primary user for service transmission.

在传统的认知无线电中,最佳功率分配方法不仅能更好的保护主用户的服务质量,同时能在有限的功率下提供次级用户更高的传输速率。然而,在传统的认知无线电下提出的最佳功率分配方法的优化目标是次级用户获得的容量,并不能保证次级用户获得最大能效。随着人们对绿色通信的关注度不断提高,绿色认知无线电近年来也日益得到关注。绿色认知无线电的主要思想是,次级用户在与主用户共享同一频段时,希望获得最大化能效。由于传统认知无线电的最佳功率分配不能保证次级用户获得最大能效。因此在保证主用户传输质量的前提条件下,设计在绿色认知无线电中使得次级用户获得最大能效的最佳功率分配方法具有重大研究意义和迫切需求。In traditional cognitive radio, the optimal power allocation method can not only better protect the service quality of primary users, but also provide secondary users with higher transmission rates under limited power. However, the optimization goal of the optimal power allocation method proposed under traditional cognitive radio is the capacity obtained by secondary users, which cannot guarantee the maximum energy efficiency for secondary users. With the continuous increase of people's attention to green communication, green cognitive radio has also received increasing attention in recent years. The main idea of green cognitive radio is that secondary users want to maximize energy efficiency when sharing the same frequency band with primary users. Because the optimal power allocation of traditional cognitive radio cannot guarantee the maximum energy efficiency for secondary users. Therefore, under the premise of ensuring the transmission quality of the primary user, it is of great research significance and urgent demand to design the optimal power allocation method for the secondary user to obtain the maximum energy efficiency in green cognitive radio.

由于最佳功率分配策略设计在认知无线电中具有至关重要的作用,因此最佳功率分配策略在传统的认知无线电中得到广泛的研究。现有的最佳功率分配策略主要以三种衡量对主用户干扰的指标进行设计,即峰值干扰功率、平均干扰功率及主用户传输最大中断概率。峰值干扰功率的要求是,次级用户在共享主用户频段时,造成对主用户的峰值干扰要小于主用户最大峰值干扰容忍度。平均干扰功率的要求是,次级用户对于主用户在一段时间内,对主用户的干扰不能超过主用户平均干扰门限。中断概率约束条件是指,次级用户对主用户产生干扰而导致主用户产生中断的概率不能超过主用户中断概率门限。尽管研究表明,在均值功率干扰约束和中断概率约束条件下,次级用户能获得更高的容量。然而,采用均值功率干扰约束和中断概率约束需要计算相对应的拉格朗日乘子,这一计算过程复杂度很高,导致在实际中难以实现。Since optimal power allocation strategy design plays a crucial role in cognitive radio, optimal power allocation strategy has been extensively studied in traditional cognitive radio. The existing optimal power allocation strategy is mainly designed based on three indicators to measure the interference to the primary user, namely, the peak interference power, the average interference power and the maximum transmission interruption probability of the primary user. The requirement of the peak interference power is that when the secondary users share the frequency band of the primary user, the peak interference to the primary user is smaller than the maximum peak interference tolerance of the primary user. The requirement of the average interference power is that the interference of the secondary user to the primary user within a period of time cannot exceed the average interference threshold of the primary user. The outage probability constraint condition means that the probability that secondary users interfere with the primary user and lead to primary user outage cannot exceed the primary user outage probability threshold. Although studies have shown that under the constraints of mean power interference and outage probability, secondary users can obtain higher capacity. However, the use of mean power interference constraints and outage probability constraints requires the calculation of the corresponding Lagrangian multipliers, which is very complex and difficult to implement in practice.

在传统的认知无线电中,现有的基于频谱共享机制下的峰值功率约束最佳功率分配不能保证次级用户获得最大能效。In traditional cognitive radio, the existing optimal power allocation based on peak power constraints under the spectrum sharing mechanism cannot guarantee the maximum energy efficiency for secondary users.

发明内容Contents of the invention

为了克服现有技术的不足,本发明提供一种基于峰值功率约束能效最佳功率分配方法,使得次级用户在频谱共享机制下,采用峰值功率约束条件使得次级用户获得最大的能效。In order to overcome the deficiencies of the prior art, the present invention provides an optimal power allocation method based on peak power constraint energy efficiency, so that secondary users can obtain maximum energy efficiency by using peak power constraint conditions under the spectrum sharing mechanism.

本发明解决其技术问题所采用的技术方案包括如下步骤:The technical solution adopted by the present invention to solve its technical problems comprises the steps:

(1)将授权占用当前频段的用户定义为主用户,将可以和主用户共享一个频段的用户定义为次级用户,输入次级用户的容错误差ξ>0、主用户能容忍的最大峰值干扰功率PIn、次级用户峰值发送功率Pth和算法最大迭代次数N;(1) Define the user who is authorized to occupy the current frequency band as the primary user, define the user who can share a frequency band with the primary user as the secondary user, and input the secondary user's error tolerance ξ>0 and the maximum peak interference that the primary user can tolerate Power P In , secondary user peak transmission power P th and the maximum number of iterations N of the algorithm;

(2)次级用户初始化算法参数,包括能效η=0和迭代次数n=0;(2) The secondary user initializes algorithm parameters, including energy efficiency η=0 and number of iterations n=0;

(3)次级用户迭代计算最佳发送功率和能效η,得到最大能效下的最佳发送功率具体步骤如下:(3) The secondary user iteratively calculates the optimal transmission power and energy efficiency η to get the best transmit power under the maximum energy efficiency Specific steps are as follows:

(3.1)次级用户计算每次衰落状态下的最佳功率其中ζ为功率放大因子,gss为次级用户发送端到接收端信道功率增益,gsp为次级用户发送端到主用户接收端信道功率增益,hps为主用户发送端到次级用户接收段信道功率增益,Pp为主用户恒定发送功率,表示次级用户接收端的噪声方差;计算能效其中,PC为固定电路消耗功率,E{b}表示对b求数学期望;(3.1) The secondary user calculates the optimal power in each fading state in ζ is the power amplification factor, g ss is the channel power gain from the secondary user transmitter to the receiver, g sp is the channel power gain from the secondary user transmitter to the primary user receiver, h ps is the channel power gain from the primary user transmitter to the secondary user receiver Segment channel power gain, P p constant transmit power of primary user, Indicates the noise variance at the receiving end of the secondary user; calculates the energy efficiency Among them, P C is the power consumption of the fixed circuit, and E{b} represents the mathematical expectation of b;

(3.2)次级用户根据步骤(3.1)得到的最佳发送功率计算第n+1迭代能效函数 f n + 1 ( η n ) = E { log 2 ( 1 + g ss P s opt h ps P p + σ w 2 ) } - η n E { ζ P s opt + P C } 和能效ηn(3.2) The optimal transmission power obtained by the secondary user according to step (3.1) Calculate the n+1th iteration energy efficiency function f no + 1 ( η no ) = E. { log 2 ( 1 + g ss P the s opt h ps P p + σ w 2 ) } - η no E. { ζ P the s opt + P C } And energy efficiency η n ;

(3.3)若|fn+1n)|≤ξ,则此时的最佳发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;否则判断迭代次数是否达到最大迭代次数n≤N,如果达到最大迭代次数,此时的发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;否则返回步骤(3.2)。(3.3) If |f n+1n )|≤ξ, then the optimal transmit power at this time is the optimal transmit power for the energy efficiency of the secondary user, and the energy efficiency is the maximum energy efficiency obtained by the secondary user; otherwise, it is judged whether the number of iterations is The maximum number of iterations n≤N is reached. If the maximum number of iterations is reached, the transmission power at this time is the optimal transmission power of the secondary user's energy efficiency, and the energy efficiency is the maximum energy efficiency obtained by the secondary user; otherwise, return to step (3.2).

本发明的有益效果是:The beneficial effects of the present invention are:

1、本发明在次级用户受峰值发送功率和峰值干扰功率约束条件下,能获得高于传统基于频谱共享认知无线电峰值功率约束条件下最佳发送功率方法取得的最大能效。1. Under the constraints of peak transmit power and peak interference power for secondary users, the present invention can obtain the maximum energy efficiency higher than that obtained by the optimal transmit power method based on spectrum sharing cognitive radio peak power constraints.

2、本发明能快速获得最大能效情况下能效最佳功率分配。2. The present invention can quickly obtain the optimal power distribution of energy efficiency under the condition of maximum energy efficiency.

3、本发明是针对绿色认知无线电提出的最佳功率分配,能在保证主用户服务质量,次级用户获得最大能效基础上,次级用户获得最佳用户体验。3. The present invention is an optimal power allocation proposed for green cognitive radio, which can ensure the service quality of the primary user and obtain the maximum energy efficiency for the secondary user, and obtain the best user experience for the secondary user.

4、本发明收敛速度快,算法复杂度低,易于实现,可以在实际中广泛应用。4. The present invention has fast convergence speed, low algorithm complexity, easy implementation, and can be widely used in practice.

附图说明Description of drawings

图1是本发明的实现流程图;Fig. 1 is the realization flowchart of the present invention;

图2是本发明在不同信道模型下,次级用户获得最大能效对比图;Fig. 2 is a comparison diagram of maximum energy efficiency obtained by secondary users under different channel models in the present invention;

图3是本发明和传统认知无线电基于频谱共享峰值功率约束最佳发送功率获得最大能效对比图;Fig. 3 is a comparison diagram of the present invention and the traditional cognitive radio to obtain the maximum energy efficiency based on spectrum sharing peak power constraint optimal transmission power;

图4是本发明在不同峰值传输功率下次级用户获得最大能效图;Fig. 4 is a diagram of maximum energy efficiency obtained by secondary users under different peak transmission powers in the present invention;

图5是本发明在不同约束条件下收敛效果图。Fig. 5 is a diagram of the convergence effect of the present invention under different constraint conditions.

具体实施方式Detailed ways

下面结合附图和实施例对本发明进一步说明,本发明包括但不仅限于下述实施例。The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

本发明的目的在于针对现有传统的基于频谱共享机制的认知无线电,在峰值功率约束条件下的最佳功率设计策略在绿色认知无线电下不能保证次级用户获得最大能效,提出一种新型的能效最佳功率分配方法,以提高次级用户的能效。The purpose of the present invention is to propose a new type of cognitive radio based on the spectrum sharing mechanism. The optimal power design strategy under the peak power constraint condition cannot guarantee the maximum energy efficiency of the secondary user under the green cognitive radio. Energy Efficiency Optimal Power Allocation Method to Improve Secondary User Energy Efficiency.

为实现上述目的,本发明的技术方法包括如下步骤:To achieve the above object, technical method of the present invention comprises the steps:

(1)将授权占用当前频段的用户定义为主用户,将可以和主用户共享一个频段的用户定义为次级用户,输入次级用户的容错误差ξ>0,主用户能容忍的最大峰值干扰功率PIn,次级用户峰值发送功率Pth和算法最大迭代次数N;(1) Define the user who is authorized to occupy the current frequency band as the primary user, define the user who can share a frequency band with the primary user as the secondary user, and input the secondary user's error tolerance ξ>0, the maximum peak interference that the primary user can tolerate Power P In , secondary user peak transmission power P th and the maximum number of iterations N of the algorithm;

(2)次级用户初始化算法参数,包括能效η=0和迭代次数n=0;(2) The secondary user initializes algorithm parameters, including energy efficiency η=0 and number of iterations n=0;

(3)次级用户迭代计算最佳发送功率和能效η,得到最大能效下的最佳发送功率 (3) The secondary user iteratively calculates the optimal transmission power and energy efficiency η to get the best transmit power under the maximum energy efficiency

(3.1)次级用户计算每次衰落状态下的最佳功率其中计算最佳功率表达式为: P s opt = min ( P ^ s , P th , P In / g sp ) , P ^ s = [ 1 ηζ ln 2 - ( h ps P p + σ w 2 ) g ss ] + ; (3.1) The secondary user calculates the optimal power in each fading state The expression for calculating the optimal power is: P the s opt = min ( P ^ the s , P the th , P In / g sp ) , P ^ the s = [ 1 ηζ ln 2 - ( h ps P p + σ w 2 ) g ss ] + ;

其中ζ为功率放大因子。gss,gsp和hps分别为次级用户发送端到接收端信道功率增益,次级用户发送端到主用户接收端信道功率增益和主用户发送端到次级用户接收段信道功率增益。Pp为主用户恒定发送功率。表示次级用户接收端的噪声方差。[a]+表示取0和a最大值。min(a,b,c)表示取a,b,c之间最小值。能效η的计算表达式为:Where ζ is the power amplification factor. g ss , g sp and hps are the channel power gain from the secondary user transmitter to the receiver, the channel power gain from the secondary user transmitter to the primary user receiver, and the channel power gain from the primary user transmitter to the secondary user receiver, respectively. P p is a constant transmit power for the primary user. Indicates the noise variance at the receiving end of the secondary user. [a] + means to take the maximum value of 0 and a. min(a,b,c) means take the minimum value between a,b,c. The calculation expression of energy efficiency η is:

ηη == == EE. {{ loglog 22 (( 11 ++ gg ssss PP sthe s optopt hh psps PP pp ++ σσ ww 22 )) }} EE. {{ ζζ PP sthe s optopt ++ PP CC }} ,,

其中PC为固定电路消耗功率。E{b}表示对b求数学期望;Among them, P C is the power consumed by the fixed circuit. E{b} means to find the mathematical expectation of b;

(3.2)次级用户根据步骤(3.1)得到的最佳发送功率计算第n+1迭代能效函数fn+1n)和能效ηn,其中能效函数计算表达式为:(3.2) The optimal transmission power obtained by the secondary user according to step (3.1) Calculate the n+1th iteration energy efficiency function f n+1n ) and energy efficiency η n , where the energy efficiency function calculation expression is:

ff nno ++ 11 (( ηη nno )) == EE. {{ loglog 22 (( 11 ++ gg ssss PP sthe s optopt hh psps PP pp ++ σσ ww 22 )) }} -- ηη nno EE. {{ ζζ PP sthe s optopt ++ PP CC }} ;;

(3.3)次级用户对能效函数进行判决fn+1n),如果条件|fn+1n)|≤ξ满足,此时的最佳发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;如果上述条件不满足,判断迭代次数是否达到最大迭代次数n≤N,如果达到最大迭代次数,此时的发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;否则继续迭代,直至满足迭代终止约束条件。(3.3) The secondary user judges the energy efficiency function f n+1n ), if the condition |f n+1n )|≤ξ is satisfied, the optimal transmission power at this time is the best energy efficiency of the secondary user Sending power, energy efficiency is the maximum energy efficiency obtained by the secondary user; if the above conditions are not satisfied, judge whether the number of iterations reaches the maximum number of iterations n≤N, if the maximum number of iterations is reached, the sending power at this time is the best energy efficiency of the secondary user Power, energy efficiency is the maximum energy efficiency obtained by the secondary user; otherwise, continue to iterate until the iteration termination constraint is met.

参照图1,本发明实施例的实现步骤如下:Referring to Fig. 1, the implementation steps of the embodiment of the present invention are as follows:

步骤1,认知用户设置算法目标参数。Step 1. Cognitive users set algorithm target parameters.

次级用户根据所需要的容错误差,主用户能容忍的峰值干扰功率,次级用户峰值发送功率及最大需要迭代次数,设置容错误差ξ>0,主用户能容忍的最大峰值干扰功率PIn,次级用户峰值发送功率Pth和算法最大迭代次数N。According to the error tolerance required by the secondary user, the peak interference power that the primary user can tolerate, the peak transmit power of the secondary user and the maximum number of iterations required, set the error tolerance ξ>0, the maximum peak interference power P In that the primary user can tolerate, The peak transmission power P th of the secondary user and the maximum number of iterations N of the algorithm.

步骤2,次级用户初始化算法参数。Step 2, the secondary user initializes the algorithm parameters.

次级用户初始化算法参数,包过能效η,迭代次数n=0。The secondary user initializes the algorithm parameters, including the energy efficiency η, and the number of iterations n=0.

步骤3,次级用户迭代计算最佳发送功率和能效η,获得最大能效下的最佳发送功率 Step 3, the secondary user iteratively calculates the optimal transmission power and energy efficiency η, to obtain the best transmit power under the maximum energy efficiency

(3a)次级用户根据每次衰落状态下的次级用户发送端到接收端信道功率增益gss,次级用户发送端到主用户接收端信道功率增益gsp和主用户发送端到次级用户接收段信道功率增益hps计算最佳功率gss和hps可以通过在次级用户接收端进行估计并反馈给次级用户发送端。gsp和可以通过次级用户和主用户协作获得。计算最佳功率表达式为:(3a) The secondary user is based on the channel power gain g ss from the secondary user transmitter to the receiver in each fading state, the channel power gain g sp from the secondary user transmitter to the primary user receiver, and the channel power gain g sp from the primary user transmitter to the secondary user Calculate the optimal power by calculating the channel power gain h ps of the user receiving section g ss and h ps can be estimated at the receiving end of the secondary user and fed back to the sending end of the secondary user. g sp and can be obtained through the cooperation of secondary users and primary users. The expression for calculating the optimal power is:

PP ^^ sthe s == [[ 11 ηζηζ lnln 22 -- (( hh psps PP pp ++ σσ ww 22 )) gg ssss ]] ++ ,, PP sthe s optopt == minmin (( PP ^^ sthe s ,, PP ththe th ,, PP InIn // gg spsp )) ,,

其中ζ为次级用户发送端固定功率放大因子,可以在次级用户发送端测量获得。表示次级用户接收端的噪声方差,可以通过在次级用户接收端进行估计。[a]+表示取0和a最大值。min(a,b,c)表示取a,b,c之间最小值。能效η的计算表达式为:Where ζ is the fixed power amplification factor of the secondary user transmitting end, which can be obtained by measurement at the secondary user transmitting end. Represents the noise variance at the secondary user's receiving end, which can be estimated at the secondary user's receiving end. [a] + means to take the maximum value of 0 and a. min(a,b,c) means take the minimum value between a,b,c. The calculation expression of energy efficiency η is:

ηη == EE. {{ loglog 22 (( 11 ++ gg ssss PP sthe s optopt hh psps PP pp ++ σσ ww 22 )) }} EE. {{ ζζ PP sthe s optopt ++ PP CC }} ,,

其中PC为固定电路消耗功率,可以通过在次级用户发送端测量获得。E{b}表示对b求数学期望;Among them, P C is the power consumed by the fixed circuit, which can be obtained by measuring at the secondary user sending end. E{b} means to find the mathematical expectation of b;

(3b)次级用户根据步骤(3b)得到的最佳发送功率计算第n+1迭代能效函数fn+1n)和能效ηn,其中能效函数计算表达式为:(3b) The optimal transmission power obtained by the secondary user according to step (3b) Calculate the n+1th iteration energy efficiency function f n+1n ) and energy efficiency η n , where the energy efficiency function calculation expression is:

ff nno ++ 11 (( ηη nno )) == EE. {{ loglog 22 (( 11 ++ gg ssss PP sthe s optopt hh psps PP pp ++ σσ ww 22 )) }} -- ηη nno EE. {{ ζζ PP sthe s optopt ++ PP CC }} ;;

(3c)次级用户对能效函数进行判决fn+1n),如果条件|fn+1n)|≤ξ满足,此时的最佳发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;如果上述条件不满足,判断迭代次数是否达到最大迭代次数n≤N,如果达到最大迭代次数,此时的发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;否则继续迭代,直至满足迭代终止约束条件。(3c) The secondary user judges the energy efficiency function f n+1n ), if the condition |f n+1n )|≤ξ is satisfied, the optimal transmission power at this time is the best energy efficiency of the secondary user Sending power, energy efficiency is the maximum energy efficiency obtained by the secondary user; if the above conditions are not satisfied, judge whether the number of iterations reaches the maximum number of iterations n≤N, if the maximum number of iterations is reached, the sending power at this time is the best energy efficiency of the secondary user Power, energy efficiency is the maximum energy efficiency obtained by the secondary user; otherwise, continue to iterate until the iteration termination constraint is satisfied.

本发明的性能效果可以通过以下仿真进一步说明:Performance effect of the present invention can be further illustrated by following simulation:

A、仿真条件A. Simulation conditions

次级用户发送端功率放大因子ζ和电路固定功率消耗PC分别设置为0.2和0.05瓦。次级用户接收到噪声方差设置为0.01。主用户传输功率Pp设置为60毫瓦。容错误差ξ设置为0.0001。信道实现次数为100000。gss,gsp和hps为信道功率增益,均值分别设置为1,0.5和0.5。平均干扰功率约束设置为10毫瓦到200毫瓦。仿真1峰值发送功率设置为150毫瓦,Nakagami-m衰弱信道的m设置为0.5。仿真2的峰值发送功率约束设置100毫瓦和150毫瓦。仿真3的峰值干扰功率设置为50毫瓦,100毫瓦和150毫瓦。仿真4的峰值发送功率设置为100毫瓦和150毫瓦,平均干扰功率设置为50毫瓦,100毫瓦和200毫瓦。仿真2,仿真3,和仿真4的信道都设置为瑞利信道。The power amplification factor ζ and the fixed power consumption PC of the secondary user transmitter are set to 0.2 and 0.05 watts respectively. The secondary user received noise variance was set to 0.01. The transmission power P p of the primary user is set to 60 milliwatts. The error tolerance ξ was set to 0.0001. The number of channel realizations is 100000. g ss , g sp and h ps are channel power gains, and the mean values are set to 1, 0.5 and 0.5 respectively. The average interference power constraint is set from 10 mW to 200 mW. In simulation 1, the peak transmit power is set to 150 mW, and the m of the Nakagami-m fading channel is set to 0.5. The peak transmit power constraints for Simulation 2 are set to 100 mW and 150 mW. The peak interference power settings for simulation 3 were 50 mW, 100 mW and 150 mW. In simulation 4, the peak transmit power was set to 100 mW and 150 mW, and the average interference power was set to 50 mW, 100 mW and 200 mW. The channels of Simulation 2, Simulation 3, and Simulation 4 are all set as Rayleigh channels.

B、仿真内容B. Simulation content

仿真1:对采用本发明,在不同信道模型模型下,次级用户获得最大能效进行仿真,结果如图2所示。其中,“gss:高斯,hps:瑞利,gsp:瑞利”表示次级用户发送端到次级用户衰落端为高斯信道,主用户发送端到次级用户接收端为瑞利信道,次级用户发送端到主用户接收端信道为瑞利信道的信道模型下,在峰值发送功率约束为150毫瓦情况下,次级用户采用本发明所获得的最大能效。“gss:瑞利,hps:Naka(m=0.5),gsp:瑞利”表示次级用户发送端到次级用户衰落端为瑞利信道,主用户发送端到次级用户接收端为m为0.5时的nakagami-m衰落信道,次级用户发送端到主用户接收端信道为瑞利信道的信道模型下,在峰值发送功率约束为150毫瓦情况下,次级用户采用本发明所获得的最大能效。“gss:瑞利,hps:瑞利,gsp:Naka(m=0.5)”表示次级用户发送端到次级用户衰落端为瑞利信道,主用户发送端到次级用户接收端为瑞利信道,次级用户发送端到主用户接收端信道为m为0.5时的nakagami-m衰落信道模型下,在峰值发送功率约束为150毫瓦情况下,次级用户采用本发明所获得的最大能效。“gss:瑞利,hps:瑞利,gsp:瑞利”表示次级用户发送端到次级用户衰落端为瑞利信道,主用户发送端到次级用户接收端为瑞利信道,次级用户发送端到主用户接收端信道为瑞利信道的信道模型下,在峰值发送功率约束为150毫瓦情况下,次级用户采用本发明所获得的最大能效。Simulation 1: Using the present invention, under different channel models, the secondary user is simulated to obtain the maximum energy efficiency, and the result is shown in FIG. 2 . Among them, “g ss : Gaussian, h ps : Rayleigh, g sp : Rayleigh” means that the channel from the secondary user’s transmitting end to the secondary user’s fading end is a Gaussian channel, and the primary user’s transmitting end to the secondary user’s receiving end is a Rayleigh channel , under the channel model in which the channel from the secondary user's transmitting end to the primary user's receiving end is a Rayleigh channel, and the peak transmit power is constrained to 150 mW, the secondary user adopts the maximum energy efficiency obtained by the present invention. "g ss : Rayleigh, h ps : Naka (m=0.5), g sp : Rayleigh" means that the secondary user sending end to the secondary user fading end is a Rayleigh channel, and the primary user sending end to the secondary user receiving end is the nakagami-m fading channel when m is 0.5, under the channel model that the channel from the secondary user sending end to the primary user receiving end is a Rayleigh channel, under the condition that the peak transmit power is constrained to be 150 milliwatts, the secondary user adopts the present invention The maximum energy efficiency obtained. "g ss : Rayleigh, h ps : Rayleigh, g sp : Naka(m=0.5)" means the Rayleigh channel from the secondary user sending end to the secondary user fading end, and from the primary user sending end to the secondary user receiving end Be a Rayleigh channel, the channel from the secondary user transmitting end to the primary user receiving end channel is under the nakagami-m fading channel model when m is 0.5, under the condition that the peak transmit power is constrained to be 150 milliwatts, the secondary user obtains by using the present invention maximum energy efficiency. "g ss : Rayleigh, h ps : Rayleigh, g sp : Rayleigh" means the Rayleigh channel from the secondary user's sending end to the secondary user's fading end, and the Rayleigh channel from the primary user's sending end to the secondary user's receiving end , under the channel model in which the channel from the secondary user's transmitting end to the primary user's receiving end is a Rayleigh channel, and the peak transmit power is constrained to 150 mW, the secondary user adopts the maximum energy efficiency obtained by the present invention.

仿真2:对采用本发明和传统基于频谱共享机制下的峰值功率约束最佳功率分配方法,次级用户获得的最大能效进行对比,结果如图3所示。其中,“峰值发送功率,0.15,能效最大化”表示本方法次级用户在150毫瓦的峰值发送功率约束条件下获得的最大能效,“峰值发送功率,0.15,历态容量最大化”表示采用传统基于频谱共享机制峰值功率约束最佳功率分配方法,次级用户在150毫瓦的峰值发送功率约束条件下获得的最大能效。“峰值发送功率,0.1,能效最大化”表示本方法次级用户在100毫瓦的峰值发送功率约束条件下获得的最大能效,“峰值发送功率,0.1,历态容量最大化”表示采用传统基于频谱共享机制峰值功率约束最佳功率分配方法,次级用户在100毫瓦的峰值发送功率约束条件下获得的最大能效。Simulation 2: compare the maximum energy efficiency obtained by secondary users by using the present invention and the traditional optimal power allocation method based on peak power constraints under the spectrum sharing mechanism, and the results are shown in FIG. 3 . Among them, "peak transmission power, 0.15, energy efficiency maximization" indicates the maximum energy efficiency obtained by the secondary user under the constraint condition of peak transmission power of 150 milliwatts in this method, and "peak transmission power, 0.15, maximum historical capacity" indicates the use of The traditional optimal power allocation method based on the peak power constraint of the spectrum sharing mechanism, the maximum energy efficiency obtained by the secondary user under the constraint condition of the peak transmit power of 150 mW. "Peak transmit power, 0.1, maximum energy efficiency" means the maximum energy efficiency obtained by the secondary user under the constraint condition of peak transmit power of 100 mW in this method, and "peak transmit power, 0.1, maximum historical capacity" means that the traditional The peak power constraint optimal power allocation method of the spectrum sharing mechanism, the maximum energy efficiency obtained by the secondary user under the constraint condition of the peak transmit power of 100 milliwatts.

仿真3:将采用本发明在不同的峰值干扰功率约束下,对次级用户获得的最大能效与峰值发送功率关系进行对比,结果如图4所示。其中,“峰值干扰功率,0.2,能效最大化”表示采用本方法次级用户在200毫瓦的峰值干扰功率约束条件下获得的最大能效,“峰值干扰功率,0.1,能效最大化”表示采用本方法次级用户在100毫瓦的峰值干扰功率约束条件下获得的最大能效,“峰值干扰功率,0.05,能效最大化”表示采用本方法次级用户在50毫瓦的峰值干扰功率约束条件下获得的最大能效。Simulation 3: The present invention will be used to compare the relationship between the maximum energy efficiency obtained by secondary users and the peak transmission power under different peak interference power constraints, and the results are shown in FIG. 4 . Among them, "peak interference power, 0.2, maximum energy efficiency" indicates the maximum energy efficiency obtained by the secondary user under the constraint condition of peak interference power of 200 mW using this method, and "peak interference power, 0.1, maximum energy efficiency" indicates Method The maximum energy efficiency obtained by the secondary user under the constraint condition of peak interference power of 100 milliwatts, "peak interference power, 0.05, energy efficiency maximization" means that the secondary user obtains under the constraint condition of peak interference power of 50 milliwatts using this method maximum energy efficiency.

仿真4:本发明在不同约束条件下,收敛效果进行仿真,结果如图5所示。其中,“峰值发送功率,0.1,峰值干扰功率,0.2”表示次级用户采用本发明在峰值发送功率约束为100毫瓦,峰值干扰功率为200毫瓦约束条件下,每次迭代所获得的能效,“峰值发送功率,0.1,峰值干扰功率,0.1”表示次级用户采用本发明在峰值发送功率约束为100毫瓦,峰值干扰功率为100毫瓦约束条件下,每次迭代所获得的能效,“峰值发送功率,0.1,峰值干扰功率,0.05”表示次级用户采用本发明在峰值发送功率约束为100毫瓦,峰值干扰功率为50毫瓦约束条件下,每次迭代所获得的能效,“峰值发送功率,0.15,峰值干扰功率,0.1”表示次级用户采用本发明在峰值发送功率约束为150毫瓦,峰值干扰功率为100毫瓦约束条件下,每次迭代所获得的能效。Simulation 4: The present invention simulates the convergence effect under different constraint conditions, and the results are shown in FIG. 5 . Among them, "peak transmission power, 0.1, peak interference power, 0.2" indicates that the secondary user adopts the present invention, under the constraints of peak transmission power of 100 milliwatts and peak interference power of 200 milliwatts, the energy efficiency obtained by each iteration , "Peak transmit power, 0.1, peak interference power, 0.1" indicates the energy efficiency obtained by each iteration of the secondary user under the constraints of peak transmit power of 100 mW and peak interference power of 100 mW by using the present invention, "Peak transmit power, 0.1, peak interference power, 0.05" indicates the energy efficiency obtained by each iteration of the secondary user under the constraints of peak transmit power of 100 mW and peak interference power of 50 mW by using the present invention, " Peak transmit power, 0.15, and peak interference power, 0.1" represent the energy efficiency obtained by each iteration of the secondary user under the constraints of peak transmit power of 150 mW and peak interference power of 100 mW by using the present invention.

C、仿真结果C. Simulation results

由图2可得,次级用户发送端到主用户接收端和主用户发送端到次级用户接收端的信道衰落对次级用户所获得的最大能效起有利作用,而且主用户发送端到次级用户接收端的衰落更有利于次级用户获得更高的最大能效。次级用户发送端到次级用户接收端的信道衰落对于次级用户所获得的最大能效起不利作用,。其原因在于,次级用户发送端到次级用户接收端的衰落会降低次级用户的历态容量,而次级用户发送端到主用户接收端的衰落能起到降低对主用户干扰的作用,主用户发送端到主用户接收端的信道衰落能起到降低对次级用户干扰的作用,从而提高次级用户的历态容量,提升次级用户最大能效。It can be seen from Fig. 2 that the channel fading from the secondary user transmitter to the primary user receiver and from the primary user transmitter to the secondary user receiver has a favorable effect on the maximum energy efficiency obtained by the secondary user, and the channel fading from the primary user transmitter to the secondary user The fading at the receiving end of the user is more conducive to the secondary user to obtain higher maximum energy efficiency. The channel fading from the transmitter of the secondary user to the receiver of the secondary user has an adverse effect on the maximum energy efficiency obtained by the secondary user. The reason is that the fading from the secondary user transmitter to the secondary user receiver will reduce the historical capacity of the secondary user, and the fading from the secondary user transmitter to the primary user receiver can reduce the interference to the primary user. The channel fading from the user sending end to the primary user receiving end can reduce the interference to the secondary user, thereby improving the historical capacity of the secondary user and improving the maximum energy efficiency of the secondary user.

由图3可得,在峰值干扰功率和峰值发送功率约束条件下,现有的基于频谱共享峰值功率约束最佳功率分配方法不能保证次级用户获得最大能效,而本方法能保证次级用户获得最大能效。而且,与峰值发送功率约束条件相比,峰值干扰功率约束条件宽松,即峰值干扰功率不起约束作用时,次级用户获得的最大能效取决于峰值发送功率。峰值发送功率约束越宽松,次级用户获得的最大能效越大。It can be seen from Figure 3 that under the constraints of peak interference power and peak transmit power, the existing optimal power allocation method based on spectrum sharing peak power constraints cannot guarantee the maximum energy efficiency for secondary users, but this method can ensure that secondary users obtain Maximum energy efficiency. Moreover, compared with the peak transmit power constraint condition, the peak interference power constraint condition is looser, that is, when the peak interference power does not act as a constraint, the maximum energy efficiency obtained by the secondary user depends on the peak transmit power. The looser the peak transmit power constraint, the greater the maximum energy efficiency obtained by secondary users.

由图4可得,峰值发送功率约束月宽松,次级用户获得的最大能效越大,峰值干扰功率约束越宽松,次级用户获得的最大能效越大。当峰值发送功率约束不起作用时,此时的次级用户最大能效仅取决于峰值干扰功率约束。From Figure 4, it can be seen that the looser the peak transmit power constraint, the greater the maximum energy efficiency obtained by the secondary user, and the looser the peak interference power constraint, the greater the maximum energy efficiency obtained by the secondary user. When the peak transmit power constraint does not work, the maximum energy efficiency of the secondary user at this time only depends on the peak interference power constraint.

由图5可得,不管次级用户受到的峰值干扰功率约束或者峰值发送功率约束多大,本发明能很快的达到收敛效果,只要迭代很少的次级就能获得最大的能效和在最大能效下的最佳发送功率策略。It can be seen from Fig. 5 that no matter how much the peak interference power constraint or the peak transmit power constraint on the secondary user is, the present invention can quickly achieve the convergence effect, and only a few iterations of the secondary can obtain the maximum energy efficiency and the maximum energy efficiency The optimal transmit power strategy under .

综合上述仿真结果和分析,本发明所提出的基于峰值功率约束能效最佳功率分配方法,能使得次级用户获得最大的能效,而且算法收敛速度快,复杂度低,易于实现,这使得该发明在实际中能更好的得到应用。Based on the above simulation results and analysis, the optimal power allocation method based on peak power constraint energy efficiency proposed by the present invention can enable secondary users to obtain maximum energy efficiency, and the algorithm has fast convergence speed, low complexity, and is easy to implement, which makes the invention It can be better applied in practice.

Claims (1)

1.一种基于峰值功率约束能效最佳功率分配方法,其特征在于包括下述步骤:1. A method for optimal power allocation based on peak power constraint energy efficiency, characterized in that it comprises the following steps: (1)将授权占用当前频段的用户定义为主用户,将可以和主用户共享一个频段的用户定义为次级用户,输入次级用户的容错误差ξ>0、主用户能容忍的最大峰值干扰功率PIn、次级用户峰值发送功率Pth和算法最大迭代次数N;(1) Define the user who is authorized to occupy the current frequency band as the primary user, define the user who can share a frequency band with the primary user as the secondary user, and input the secondary user's error tolerance ξ>0 and the maximum peak interference that the primary user can tolerate Power P In , secondary user peak transmission power P th and the maximum number of iterations N of the algorithm; (2)次级用户初始化算法参数,包括能效η=0和迭代次数n=0;(2) The secondary user initializes algorithm parameters, including energy efficiency η=0 and number of iterations n=0; (3)次级用户迭代计算最佳发送功率和能效η,得到最大能效下的最佳发送功率具体步骤如下:(3) The secondary user iteratively calculates the optimal transmission power and energy efficiency η to get the best transmit power under the maximum energy efficiency Specific steps are as follows: (3.1)次级用户计算每次衰落状态下的最佳功率其中ζ为功率放大因子,gss为次级用户发送端到接收端信道功率增益,gsp为次级用户发送端到主用户接收端信道功率增益,hps为主用户发送端到次级用户接收段信道功率增益,Pp为主用户恒定发送功率,表示次级用户接收端的噪声方差;计算能效其中,PC为固定电路消耗功率,E{b}表示对b求数学期望;(3.1) The secondary user calculates the optimal power in each fading state in ζ is the power amplification factor, g ss is the channel power gain from the secondary user transmitter to the receiver, g sp is the channel power gain from the secondary user transmitter to the primary user receiver, h ps is the channel power gain from the primary user transmitter to the secondary user receiver Segment channel power gain, P p constant transmit power of primary user, Indicates the noise variance at the receiving end of the secondary user; calculates the energy efficiency Among them, P C is the power consumption of the fixed circuit, and E{b} represents the mathematical expectation of b; (3.2)次级用户根据步骤(3.1)得到的最佳发送功率计算第n+1迭代能效函数 f n + 1 ( η n ) = E { log 2 ( 1 + g ss P s opt h ps P p + σ w 2 ) } - η n E { ζ P s opt + P C } 和能效ηn(3.2) The optimal transmission power obtained by the secondary user according to step (3.1) Calculate the n+1th iteration energy efficiency function f no + 1 ( η no ) = E. { log 2 ( 1 + g ss P the s opt h ps P p + σ w 2 ) } - η no E. { ζ P the s opt + P C } And energy efficiency η n ; (3.3)若|fn+1n)|≤ξ,则此时的最佳发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;否则判断迭代次数是否达到最大迭代次数n≤N,如果达到最大迭代次数,此时的发送功率为次级用户能效最佳发送功率,能效为次级用户获得的最大能效;否则返回步骤(3.2)。(3.3) If |f n+1n )|≤ξ, then the optimal transmit power at this time is the optimal transmit power for the energy efficiency of the secondary user, and the energy efficiency is the maximum energy efficiency obtained by the secondary user; otherwise, it is judged whether the number of iterations is The maximum number of iterations n≤N is reached. If the maximum number of iterations is reached, the transmission power at this time is the optimal transmission power of the secondary user's energy efficiency, and the energy efficiency is the maximum energy efficiency obtained by the secondary user; otherwise, return to step (3.2).
CN201510316831.4A 2015-06-10 2015-06-10 Based on peak power constraint efficiency optimal power contribution method Active CN105188143B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510316831.4A CN105188143B (en) 2015-06-10 2015-06-10 Based on peak power constraint efficiency optimal power contribution method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510316831.4A CN105188143B (en) 2015-06-10 2015-06-10 Based on peak power constraint efficiency optimal power contribution method

Publications (2)

Publication Number Publication Date
CN105188143A true CN105188143A (en) 2015-12-23
CN105188143B CN105188143B (en) 2018-10-09

Family

ID=54909921

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510316831.4A Active CN105188143B (en) 2015-06-10 2015-06-10 Based on peak power constraint efficiency optimal power contribution method

Country Status (1)

Country Link
CN (1) CN105188143B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107333275A (en) * 2017-08-14 2017-11-07 重庆邮电大学 A kind of uplink flies the method that robust power is distributed in honeycomb heterogeneous network

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130059615A1 (en) * 2011-06-29 2013-03-07 Pla University Of Science And Technology Resource Distribution Method for Throughput Maximization in Cooperative Cognitive SIMO Network
CN103269514A (en) * 2013-04-23 2013-08-28 清华大学 Secondary user power allocation method and device based on spectrum sensing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130059615A1 (en) * 2011-06-29 2013-03-07 Pla University Of Science And Technology Resource Distribution Method for Throughput Maximization in Cooperative Cognitive SIMO Network
CN103269514A (en) * 2013-04-23 2013-08-28 清华大学 Secondary user power allocation method and device based on spectrum sensing

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
LEI DONG等: "Optimal and Low Complexity Algorithm for Energy Efficient Power Allocation with Sensing Errors in Cognitive Radio Networks", 《IEEE》 *
LIANG WANG等: "Mean Energy Efficiency Maximization in Cognitive Radio Channels With PU Outage Constraint", 《IEEE》 *
XIN KANG等: "Optimal Power Allocation for Fading Channels in Cognitive Radio Networks under Transmit and Interference Power Constraints", 《IEEE》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107333275A (en) * 2017-08-14 2017-11-07 重庆邮电大学 A kind of uplink flies the method that robust power is distributed in honeycomb heterogeneous network
CN107333275B (en) * 2017-08-14 2019-12-13 重庆邮电大学 robust power distribution method in uplink transmission femtocell heterogeneous network

Also Published As

Publication number Publication date
CN105188143B (en) 2018-10-09

Similar Documents

Publication Publication Date Title
CN104703191B (en) Ensure the Safety Cognition radio net power distribution method of time delay qos requirement
CN108924938B (en) A resource allocation method for computing energy efficiency of wireless charging edge computing network
CN105307181B (en) Distribution method for the safe efficiency best power of green cognitive radio
CN105101383B (en) Power distribution method based on frequency spectrum share efficiency maximum
CN107026684A (en) A kind of cognitive communications safety of physical layer efficiency optimization method based on man made noise
CN105392192A (en) Energy-efficiency-optimization-based power distribution method in multi-user large-scale antenna relay system
CN104301975B (en) Network energy-saving method based on coordinated multipoint transmission model selection
CN103209427B (en) User-channel-quality-based collaborative user selection method for source users
CN107241799B (en) Energy-efficient resource allocation and interference alignment joint approach in heterogeneous networks
CN107733510A (en) Beamforming Design of Robust Cloud Wireless Transmission System
CN104869646A (en) Energy-efficient resource allocation method for use in heterogeneous wireless network
CN113507716A (en) SWIPT-based CR-NOMA network interruption and energy efficiency optimization method
CN106998222A (en) The power distribution method of high energy efficiency in a kind of distributing antenna system
CN105007585B (en) Power distribution method based on outage probability efficiency maximum
CN105188143B (en) Based on peak power constraint efficiency optimal power contribution method
CN104768183B (en) The radio-frequency front-end dynamic power consumption appraisal procedure of mobile terminal in LTE system
CN108282788A (en) A kind of resource allocation methods of the Energy Efficient based on quasi- newton interior point method
CN103974274A (en) Robustness wave beam forming method for improving multi-cell energy efficiency
CN107567034A (en) A kind of D2D resource share methods in isomery cellular network
CN111343722A (en) Energy efficiency optimization method based on cognitive radio in edge computing
Islam et al. Optimal rate adaptation for energy efficiency with MQAM and MFSK
CN105916197A (en) Power adaptive method of social credit driving in D2D network
CN104486268A (en) Cross channel gain estimation method
CN104883692B (en) A kind of frequency spectrum share of energy efficient and base station dormancy integrated processes
CN103582104B (en) Embed the power distribution method based on SINR increment iterative in the cellular network of D2D

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant