WO2016149949A1 - 一种多载波宽带信能同传优化方法 - Google Patents

一种多载波宽带信能同传优化方法 Download PDF

Info

Publication number
WO2016149949A1
WO2016149949A1 PCT/CN2015/075353 CN2015075353W WO2016149949A1 WO 2016149949 A1 WO2016149949 A1 WO 2016149949A1 CN 2015075353 W CN2015075353 W CN 2015075353W WO 2016149949 A1 WO2016149949 A1 WO 2016149949A1
Authority
WO
WIPO (PCT)
Prior art keywords
signal
energy
information
optimization
parameter set
Prior art date
Application number
PCT/CN2015/075353
Other languages
English (en)
French (fr)
Inventor
贡毅
韩子栋
Original Assignee
南方科技大学
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 南方科技大学 filed Critical 南方科技大学
Publication of WO2016149949A1 publication Critical patent/WO2016149949A1/zh

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0044—Arrangements for allocating sub-channels of the transmission path allocation of payload
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/0064—Rate requirement of the data, e.g. scalable bandwidth, data priority
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/543—Allocation or scheduling criteria for wireless resources based on quality criteria based on requested quality, e.g. QoS

Definitions

  • the present invention relates to the field of wireless signal transmission systems, and in particular, to an optimization method for wireless signal energy transmission.
  • Simultaneous Wireless Information and Energy Transfer which realizes the simultaneous transmission of information and energy through wireless, is an emerging communication technology integrating wireless communication technology and wireless energy transmission technology.
  • the integration of energy technology and communication technology has become a trend, which can achieve high-speed and reliable communication, and can effectively alleviate the pressure of energy and spectrum scarcity. It has important application value in industrial, medical and infrastructure development.
  • the wireless signal transmission technology breaks through the traditional wireless communication means, considers the energy attributes at the same time, integrates the wireless communication technology and the wireless energy transmission technology, realizes the parallel transmission of information and energy simultaneously, and has wide application value and innovative significance.
  • the signal-to-energy transmission technology is limited to theoretical analysis, and does not involve actual signal modulation and carrier technology.
  • the main reason is that wireless energy is difficult to supply stably, the information rate will be greatly reduced, the energy utilization rate is not high, and the signal in the power density will greatly exceed the safety standards.
  • an object of the present invention is to provide a multi-carrier wideband signal-to-energy optimization method that can achieve both wireless energy supply and information transmission rate.
  • a multi-carrier wideband signal-to-energy simultaneous transmission optimization method is applied to a wireless transceiver system, wherein a baseband signal transmitted by a transmitting end of the wireless transceiver system includes an information signal and an energy signal, and the optimization method includes the steps of: P1, and the transmitting end is based on Determining, by the first optimization parameter set, a first pre-allocated parameter set of one of the energy signal and the information signal in the baseband signal according to the first optimization target and the first constraint set; P2, the transmitting end is based on the step P1
  • the first pre-allocated parameter set and the second optimized parameter set determine a second pre-allocated parameter set of the energy signal and the other one of the information signals in the baseband signal according to the second optimization target and the second constraint condition set.
  • the first optimization target in step P1 comprises: when the first constraint set is established, the number of energy signal carriers is the smallest and the power of the energy signal is minimum.
  • the first constraint set relates to: C1, the power collected by the receiving end is greater than or equal to the minimum power required for the working end of the receiving end; and C2, the sum of the energy of the energy signal on the transmitting terminal carrier is less than or equal to the energy signal of the baseband signal. Total power; C3, the average power spectral density on each subcarrier frequency band is less than or equal to a predetermined parameter value.
  • the minimum power required for the operation of the receiving end described in the constraint C1 should be understood as the minimum power required by the multiple working modes of the receiving end, for example, when the receiving end is in the non-charging mode, the receiving end works.
  • the minimum power required may be the minimum power required for the receiving circuit to operate; when the receiving end is in the charging mode, the minimum power required for the receiving end to operate may be the sum of the minimum power required to operate the receiving circuit and the power required for charging.
  • the second optimization goal in step P2 involves maximizing the information transmission rate in the case where the second constraint condition set is established.
  • the second set of constraints relates to: the sum of the information signal powers on the subcarriers is less than or equal to the total power of the information signals.
  • the first optimized parameter set in step P1 includes one or more of the following parameters: minimum power required for the receiver to work, channel bandwidth on each subcarrier, average power spectral density PSD on each subcarrier, and Channel parameter vector.
  • the second optimization parameter set in step P2 includes one of the following parameters: Or multiple: information signal subcarrier set, information signal subcarrier number, and channel parameter vector.
  • the first pre-allocation parameter comprises one or more of the following parameters: an energy signal sub-carrier allocation set, an energy signal power allocation set, and an energy signal total power.
  • the second pre-allocation parameter comprises one or more of the following parameters: an information signal power allocation set and an information signal sub-carrier allocation set.
  • the invention provides a multi-carrier broadband signal simultaneous transmission optimization method which takes into consideration the wireless energy supply and the information transmission rate, and transmits an independent energy signal while transmitting the information signal to the receiving end, which can be the working mode of the receiving end.
  • the required energy is provided.
  • the optimization of the information signal and the energy signal by the optimization algorithm can improve the energy transmission efficiency and the information rate.
  • a multi-carrier broadband signal-to-synchronization optimization method is applied to a wireless transceiver system, where a wireless transceiver system includes a transmitting end and a receiving end, and a baseband signal transmitted by a transmitting end of the wireless transceiver system includes an information signal and an energy signal,
  • the optimization method includes the following steps: P1, the transmitting end determines, according to the first optimization parameter set, a first pre-allocated parameter set of one of the energy signal and the information signal in the baseband signal according to the first optimization target and the first constraint condition set; P2.
  • the transmitting end determines, according to the second optimization target and the second constraint condition set, the energy signal and the other signal in the information signal according to the second optimization target and the second constraint condition set according to the first pre-allocation parameter set and the second optimization parameter set in step P1.
  • the second pre-allocated parameter set is
  • power, spectrum, and carrier can be first calculated at the transmitting end.
  • the total power of the baseband signal at the transmitting end is P
  • the total carrier set of the signal is Sc
  • Sc Sc E ⁇ Sc I
  • Sc E the energy signal subcarrier set
  • Sc I the information signal subcarrier set
  • ⁇ is the energy efficiency coefficient
  • channel parameter vector among them
  • the total number of carriers is N
  • the power P E of the energy signal can be expressed by the following relationship
  • the allocation of carriers and spectrum can be optimized according to the minimum energy and channel feedback information required for the receiver to operate.
  • the channel feedback information is monitored, and the carrier and the spectrum are optimized according to the minimum energy required by the receiving end and channel feedback information (in this embodiment, the number of channels is equal to the number of carriers).
  • the first optimization target in step P1 comprises: when the first constraint set is established, the energy signal carrier number N E is minimum and the total power P E of the energy signal is minimum.
  • the first constraint conditions involve: C1, the receiving end the acquired received power Q greater than or equal to the desired minimum power P min working end, i.e. Q ⁇ P min; C2, the energy of the signal transmission terminal carrier The sum of the powers is less than or equal to the total power of the energy signals in the baseband signal; C3, the average power spectral density on each subcarrier frequency band is less than or equal to a predetermined parameter value A, that is, E[S 2 E (n)] / B ⁇ A is satisfied.
  • B is the channel bandwidth on each subcarrier.
  • the minimum power required for the operation of the receiving end described in the constraint C1 should be understood as the minimum power required by the multiple working modes of the receiving end, for example, when the receiving end is in the non-charging mode, the receiving end works.
  • the minimum power required may be the minimum power required for the receiving circuit to operate; when the receiving end is in the charging mode, the minimum power required for the receiving end to operate may be the sum of the minimum power required to operate the receiving circuit and the power required for charging.
  • the second optimization goal in step P2 involves maximizing the information transmission rate R in the case where the second constraint condition set is established.
  • the second set of constraints relates to: the sum of the information signal powers on the subcarriers is less than or equal to the total power of the information signals in the baseband signals.
  • the first optimized parameter set in step P1 includes one or more of the following parameters: energy signal subcarrier set Sc E , minimum power required to operate at the receiving end P min , channel bandwidth B on each subcarrier, each subcarrier The average power spectral density A and the channel parameter vector h.
  • the second optimized parameter set in step P2 includes one or more of the following parameters: an information signal subcarrier set Sc I , an information signal subcarrier number N I , and a channel parameter vector h, where
  • the first pre-allocated parameter set includes one or more of the following parameters: an energy signal subcarrier allocation set, an energy signal power allocation set, and an energy signal total power P E .
  • the second pre-allocated parameter set includes one or more of the following parameters: an information signal power allocation set and an information signal sub-carrier allocation set.
  • the first pre-allocated parameter set can be derived according to the following first optimization target and the first constraint set.
  • the second pre-allocated parameter set can be derived according to the following second optimization target and the second constraint condition set.
  • Sc E * is an optimal energy signal subcarrier allocation set
  • step S4 If there is a solution in step S2, then Sc E * is determined, the number of subcarriers N E is determined, and P E is determined.
  • the invention provides a multi-carrier broadband signal simultaneous transmission optimization method which takes into consideration the wireless energy supply and the information transmission rate, and transmits an independent energy signal while transmitting the information signal to the receiving end, which can be the working mode of the receiving end.
  • the required energy is provided.
  • the optimization of the information signal and the energy signal by the optimization algorithm can improve the energy transmission efficiency and the information rate.

Abstract

本发明公开了多载波宽带信能同传优化方法，其应用于无线收发系统中，所述无线收发系统发射端发射的基带信号包含信息信号和能量信号，所述优化方法包括用于确定系统预分配参数集的步骤P1和P2。本发明通过提供一种兼顾无线能量供给和信息传输速率、切实可行的多载波宽带信能同传优化方法，在向接收端发送信息信号的同时发送独立的能量信号，能够为接收端所处工作模式提供需要的能量，另外，通过优化算法对信息信号和能量信号进行优化，既能提高能量传输效率又能提高信息速率。

Description

一种多载波宽带信能同传优化方法 技术领域
本发明涉及无线信号传输系统领域，尤其涉及一种无线信号能量传输的优化方法。
背景技术
无线信能同传(Simultaneous Wireless Information and Energy Transfer)，即通过无线方式实现信息和能量的同时传输，是集成无线通信技术和无线能量传输技术的新兴通信技术。随着科技的发展，整合能源技术和通信技术成为趋势，既能实现高速可靠的通信，又能有效缓解能源和频谱稀缺的压力，在工业、医疗、基础设施发展等方面有着重要的应用价值。
无线信能同传突破传统的无线通信手段，将能量属性同时考虑，整合无线通信技术和无线能量传输技术，实现信息和能量的并行同时传输，具有广泛的应用价值和创新意义。
基于信息与能量同时传输的特点，用于各类依靠有限容量电池提供电能的无线终端或器件，通过从信号中采集能量为其馈电，极大延长待机时间，减小设备体积和成本，并能够大幅减少电池的生产量，大大降低电池生产制造与回收过程中造成的环境污染。基于非接触式的远距离传输的特点，可取代电池或者线缆供电，极大的提升供电的便利性。基于稳定性和可持续性的特点，可替代传统能量采集器(Energy Harvester)以采集环境能量(如风能、太阳能、动能等)为主 的方式。同时，无线信能同传在改善人民生活方面的应用也是广泛的，会产生极大的社会效益：在医疗领域，植入医疗装置如心脏起搏器、心血管机器人等均存在严重的电池能量短缺问题，无线信能同传技术的装配可避免对患者造成严重的二次痛苦。
现有的技术中，信能同传技术只是局限于理论分析，并没有涉及到实际的信号调制和载波等技术。主要存在无线能量难以稳定供给，信息速率会大打折扣，能量利用率不高，并且信号在功率密度上会大大超出安全标准等问题。
发明内容
为了解决上述技术问题，本发明的目的是提供一种兼顾无线能量供给和信息传输速率、切实可行的多载波宽带信能同传优化方法。
本发明所采用的技术方案是：
一种多载波宽带信能同传优化方法，其应用于无线收发系统中，所述无线收发系统发射端发射的基带信号包含信息信号和能量信号，所述优化方法包括步骤：P1，发射端基于第一优化参数集，根据第一优化目标和第一约束条件集来确定基带信号中能量信号和信息信号中其中一种信号的第一预分配参数集；P2，发射端基于步骤P1中所述第一预分配参数集和第二优化参数集，根据第二优化目标和第二约束条件集来确定基带信号中能量信号和信息信号中另一种信号的第二预分配参数集。
优选的，所述步骤P1具体为：发射端基于第一优化参数集，根据第一优化目标和第一约束条件集来确定基带信号中能量信号的第 一预分配参数集；所述步骤P2具体为：发射端基于步骤P1中所述第一预分配参数集和第二优化参数集，根据第二优化目标和第二约束条件集来确定基带信号中信息信号第二预分配参数集。
优选的，步骤P1中所述第一优化目标包括：使第一约束条件集成立的情况下，能量信号载波个数最小和能量信号的功率最小。
优选的，所述第一约束条件集涉及：C1，接收端所采集功率大于等于接收端工作所需的最低功率；C2，发射端子载波上的能量信号功率之和小于等于基带信号中能量信号的总功率；C3，每个子载波频段上的平均功率谱密度小于等于一个既定的参数值。需要说明的是，约束条件C1所述的接收端工作所需的最低功率应当理解为所述接收端多种工作模式所需的最低功率，例如：当接收端处于非充电模式时，接收端工作所需最低功率可以是接收端电路运行所需最低功率；当接收端处于充电模式时，接收端工作所需最低功率可以是接收端电路运行所需最低功率和充电所需功率之和。
优选的，步骤P2中所述第二优化目标涉及：使第二约束条件集成立的情况下，信息传输速率最大化。
优选的，所述第二约束条件集涉及：子载波上的信息信号功率之和小于等于信息信号的总功率。
优选的，步骤P1中所述第一优化参数集包括以下参数中的一个或多个：接收端工作所需最低功率、每个子载波上的信道带宽、每个子载波上的平均功率谱密度PSD和信道参数向量。
优选的，步骤P2中所述第二优化参数集包括以下参数中的一个 或多个：信息信号子载波集、信息信号子载波数和信道参数向量。
优选的，所述第一预分配参数包括以下参数中的一个或多个：能量信号子载波分配集、能量信号功率分配集和能量信号总功率。
优选的，所述第二预分配参数包括以下参数中的一个或多个：信息信号功率分配集和信息信号子载波分配集。
本发明的有益效果是：
本发明提供一种兼顾无线能量供给和信息传输速率、切实可行的多载波宽带信能同传优化方法，在向接收端发送信息信号的同时发送独立的能量信号，能够为接收端所处工作模式提供需要的能量，另外，通过优化算法对信息信号和能量信号进行优化，既能提高能量传输效率又能提高信息速率。
具体实施方式
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
一种多载波宽带信能同传优化方法，其应用于无线收发系统中，无线收发系统包括发射端和接收端，所述无线收发系统发射端发射的基带信号包含信息信号和能量信号，所述优化方法包括步骤：P1，发射端基于第一优化参数集，根据第一优化目标和第一约束条件集来确定基带信号中能量信号和信息信号中其中一种信号的第一预分配参数集；P2，发射端基于步骤P1中所述第一预分配参数集和第二优化参数集，根据第二优化目标和第二约束条件集来确定基带信号中能量信号和信息信号中另一种信号的第二预分配参数集。
所述步骤P1具体为：发射端基于第一优化参数集，根据第一优化目标和第一约束条件集来确定基带信号中能量信号的第一预分配参数集；所述步骤P2具体为：发射端基于步骤P1中所述第一预分配参数集和第二优化参数集，根据第二优化目标和第二约束条件集来确定基带信号中信息信号第二预分配参数集。
作为本发明一种优选的实施例，可以在发射端首先对功率、频谱、载波进行运算。假设发射端基带信号总功率为P,分配于信息信号的能量和能量信号的总功率分别为PI和PE，则PI+PE＝P；信号总载波集为Sc，Sc＝ScE∪ScI，其中，ScE为能量信号子载波集，ScI为信息信号子载波集；接收端采集到的能量为Q，即有Q＝βPE，β是能量效率系数；信道参数向量
Figure PCTCN2015075353-appb-000001
其中，
Figure PCTCN2015075353-appb-000002
总载波数为N，分配于信息信号的载波数和能量信号的载波数分别为NI和NE，则N＝NI+NE；信息信号和能量信号的能量符号分别为SI(n)和SE(n)，n＝1，2,...,m；m≤N；其中，
Figure PCTCN2015075353-appb-000003
SI1～SIm分别为信息信号的第1至第m个信息符号，SE1～SEm分别为能量信号的第1至第m个能量符号,用E[S2 I(n)]和E[S2 E(n)]分别表示信息信号和能量信号的能量。因此，接收端采集到的功率Q可用下述关系式表示
Figure PCTCN2015075353-appb-000004
即
Figure PCTCN2015075353-appb-000005
能量信号的功率PE可用下述关系式表示
Figure PCTCN2015075353-appb-000006
可根据接收端工作所需的最少能量和信道反馈信息，对载波和频谱进行分配优化。
可在发射端发出信号后，监控信道反馈信息，并根据接收端工作所需的最少能量和信道反馈信息(该实施例中，信道数量等于载波数量)，对载波和频谱进行分配优化。
优选的，步骤P1中所述第一优化目标包括：使第一约束条件集成立的情况下，能量信号载波个数NE最小和能量信号的总功率PE最小。
该实施例中，所述第一约束条件集涉及：C1，接收端所采集功率Q大于等于接收端工作所需的最低功率Pmin，即Q≥Pmin；C2，发射端子载波上的能量信号功率之和小于等于基带信号中能量信号的总功率；C3，每个子载波频段上的平均功率谱密度小于等于一个既定的参数值A,即满足E[S2 E(n)]/B≤A，其中，B为每个子载波上的信道带宽。需要说明的是，约束条件C1所述的接收端工作所需的最低功率应当理解为所述接收端多种工作模式所需的最低功率，例如：当接收端处于非充电模式时，接收端工作所需最低功率可以是接收端电路运行所需最低功率；当接收端处于充电模式时，接收端工作所需最低功率可以是接收端电路运行所需最低功率和充电所需功率之和。
步骤P2中所述第二优化目标涉及：使第二约束条件集成立的情况下，信息传输速率R最大化。
所述第二约束条件集涉及：子载波上的信息信号功率之和小于等于基带信号中的信息信号的总功率。
步骤P1中所述第一优化参数集包括以下参数中的一个或多个：能量信号子载波集ScE、接收端工作所需最低功率Pmin、每个子载波上的信道带宽B、每个子载波上的平均功率谱密度A和信道参数向量h。
步骤P2中所述第二优化参数集包括以下参数中的一个或多个：信息信号子载波集ScI、信息信号子载波数NI和信道参数向量h，其中，
Figure PCTCN2015075353-appb-000007
所述第一预分配参数集包括以下参数中的一个或多个：能量信号子载波分配集、能量信号功率分配集和能量信号总功率PE。
所述第二预分配参数集包括以下参数中的一个或多个：信息信号功率分配集和信息信号子载波分配集。
综上所述，对下列优化问题求解可得出系统预分配参数集。
根据下列第一优化目标和第一约束条件集即可得出第一预分配参数集。
P1:
Figure PCTCN2015075353-appb-000008
其中，{}中的元素所表示为第一优化参数；
s.t.(下述为第一约束条件)
Figure PCTCN2015075353-appb-000009
Figure PCTCN2015075353-appb-000010
E[S2 E(n)]/B≤A,n＝1,2,...,NE；
根据下列第二优化目标和第二约束条件集即可得出第二预分配参数集。
P2：
Figure PCTCN2015075353-appb-000011
其中，ScE *为最优能量信号子载波分配集；
s.t.(下述为第二约束条件)
Figure PCTCN2015075353-appb-000012
上述优化问题求解步骤举例如下：
S1.初始化NE＝1，子载波集合ScE＝Ф(Ф为空集)；
S2.先找到一个能量信号子载波分配集ScE＝{Sci},i＝1,2,…,NE，对应的能量信道参数向量为
Figure PCTCN2015075353-appb-000013
并可通过优化算法(例如注水算法)使得在第一约束条件集成立的情况下，接收端所采集到的功率最大化。具体的，算法如下：
子步骤S21：
Find ScE＝{Sci}，i＝1…NE；
s.t.
max Q，Q≥Pmin；
Figure PCTCN2015075353-appb-000014
E[S2 E(n)]/B≤A,n＝1,2,...,NE。
子步骤S22：通过S21可以找到多个集合，选择最优能量信号子载波集ScE *＝argmin PE，其中，argmin PE表示使PE取得最小值时的能量信号子载波集ScE；同时确定最优能量信号功率分配集{E*[S2 E(n)]}和接收端最优采集功率
Figure PCTCN2015075353-appb-000015
S3.若步骤S2没有解，则令NE＝NE+1，并令ScE＝Ф，重新循环步 骤S2和S3。
S4.若步骤S2有解，则ScE *确定，子载波数NE确定,PE确定。
S5.当最优能量信号子载波集ScE *确定，那么相应的信息信号子载波集ScI也得到了，ScI＝{Sci}；信息信号子载波数NI＝N-NE；对应信息信道参数向量hI＝{hi}；其中，i＝1,2，…，NI。
优化系统信息传输速率问题，求解过程如下：
Figure PCTCN2015075353-appb-000016
s.t.
Figure PCTCN2015075353-appb-000017
可求解确定最优信息信号功率分配集{E*[S2 I(n)]}和最优信息信号子载波集ScI *,最终得到最优信息传输速率R*＝argmax R，其中，n＝1,2，…，NI。
其中，R*＝argmax R具体表达式为：
Figure PCTCN2015075353-appb-000018
其中，n＝1,2，…，NI，N0为噪声功率密度参数。
本发明提供一种兼顾无线能量供给和信息传输速率、切实可行的多载波宽带信能同传优化方法，在向接收端发送信息信号的同时发送独立的能量信号，能够为接收端所处工作模式提供需要的能量，另外，通过优化算法对信息信号和能量信号进行优化，既能提高能量传输效率又能提高信息速率。
以上是对本发明的较佳实施进行了具体说明，但本发明创造并不 限于所述实施例，熟悉本领域的技术人员在不违背本发明精神的前提下还可做作出种种的等同变形或替换，这些等同的变形或替换均包含在本申请权利要求所限定的范围内。

Claims (10)

  1. 一种多载波宽带信能同传优化方法，其应用于无线收发系统中，其特征在于，所述无线收发系统发射端发射的基带信号包含信息信号和能量信号，所述优化方法包括步骤：
    P1，发射端基于第一优化参数集，根据第一优化目标和第一约束条件集来确定基带信号中能量信号和信息信号中其中一种信号的第一预分配参数集；
    P2，发射端基于步骤P1中所述第一预分配参数集和第二优化参数集，根据第二优化目标和第二约束条件集来确定基带信号中能量信号和信息信号中另一种信号的第二预分配参数集。
  2. 根据权利要求1所述一种多载波宽带信能同传优化方法，其特征在于，
    所述步骤P1具体为：发射端基于第一优化参数集，根据第一优化目标和第一约束条件集来确定基带信号中能量信号的第一预分配参数集；
    所述步骤P2具体为：发射端基于步骤P1中所述第一预分配参数集和第二优化参数集，根据第二优化目标和第二约束条件集来确定基带信号中信息信号第二预分配参数集。
  3. 根据权利要求2所述一种多载波宽带信能同传优化方法，其特征在于，步骤P1中所述第一优化目标包括：使第一约束条件集成立的情况下，能量信号载波个数最小和能量信号的功率最小。
  4. 根据权利要求3所述一种多载波宽带信能同传优化方法，其特 征在于，所述第一约束条件集涉及：
    C1，接收端所采集功率大于等于接收端工作所需的最低功率；
    C2，发射端子载波上的能量信号功率之和小于等于基带信号中能量信号的总功率；
    C3，每个子载波频段上的平均功率谱密度小于等于一个既定的参数值。
  5. 根据权利要求2所述一种多载波宽带信能同传优化方法，其特征在于，步骤P2中所述第二优化目标涉及：使第二约束条件集成立的情况下，信息传输速率最大化。
  6. 根据权利要求5所述一种多载波宽带信能同传优化方法，其特征在于，所述第二约束条件集涉及：子载波上的信息信号功率之和小于等于信息信号的总功率。
  7. 根据权利要求2所述一种多载波宽带信能同传优化方法，其特征在于，步骤P1中所述第一优化参数集包括以下参数中的一个或多个：接收端工作所需最低功率、每个子载波上的信道带宽、每个子载波上的平均功率谱密度PSD和信道参数向量。
  8. 根据权利要求2所述一种多载波宽带信能同传优化方法，其特征在于，步骤P2中所述第二优化参数集包括以下参数中的一个或多个：信息信号子载波集、信息信号子载波数和信道参数向量。
  9. 根据权利要求2所述一种多载波宽带信能同传优化方法，其特征在于，所述第一预分配参数包括以下参数中的一个或多个： 能量信号子载波分配集、能量信号功率分配集和能量信号总功率。
  10. 根据权利要求2所述一种多载波宽带信能同传优化方法，其特征在于，所述第二预分配参数包括以下参数中的一个或多个：信息信号功率分配集和信息信号子载波分配集。
PCT/CN2015/075353 2015-03-25 2015-03-30 一种多载波宽带信能同传优化方法 WO2016149949A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510133789.2A CN104812078B (zh) 2015-03-25 2015-03-25 一种多载波宽带信能同传优化方法
CN201510133789.2 2015-03-25

Publications (1)

Publication Number Publication Date
WO2016149949A1 true WO2016149949A1 (zh) 2016-09-29

Family

ID=53696424

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/075353 WO2016149949A1 (zh) 2015-03-25 2015-03-30 一种多载波宽带信能同传优化方法

Country Status (2)

Country Link
CN (1) CN104812078B (zh)
WO (1) WO2016149949A1 (zh)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10123336B2 (en) 2015-07-21 2018-11-06 S. University of Science and Technology of China Resource allocation optimization method for simultaneous information and energy transfer system
CN109121215A (zh) * 2018-09-05 2019-01-01 广州恒创智能科技有限公司 无线体感网中能量和数据协同传输调度方法
US10205615B2 (en) 2015-07-21 2019-02-12 South University of Science & Technology of China Receiving method and system for digital simultaneous information and energy transfer
US10211957B2 (en) 2015-07-21 2019-02-19 South University of Science & Technology of China Method and system for simultaneous information and energy transfer with a guard interval signal
CN110518987A (zh) * 2019-08-28 2019-11-29 电子科技大学 数能一体化传输系统及信号分割方法
US10630117B2 (en) 2015-07-21 2020-04-21 South University of Science & Technology of China Energy management method and system for receiving terminal of simultaneous information and energy transfer system
CN113194487A (zh) * 2021-04-28 2021-07-30 电子科技大学 一种基于波形赋型技术的单用户宽带无线数据能量传输方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007003788A1 (fr) * 2005-07-04 2007-01-11 Etienne Lacroix Tous Artifices S.A. Dispositif d'allumage sans fil a resonance
CN104158304A (zh) * 2014-07-30 2014-11-19 华南理工大学 移动式自适应能量与信息同步无线传输方法与传输装置
CN104270798A (zh) * 2014-09-23 2015-01-07 西安交通大学 一种适用于信能同传中继网络的分布式中继选择方法
CN104320219A (zh) * 2014-10-30 2015-01-28 浙江理工大学 多用户信能同传系统低复杂度收发机设计方法

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014132258A1 (en) * 2013-02-28 2014-09-04 Powermat Technologies Ltd. Systems and methods for managing a distributed wireless power transfer network for electrical devices
CN104135770B (zh) * 2014-07-02 2017-08-25 北京邮电大学 一种用于无线信息与能量同时传输系统中的能量分配方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007003788A1 (fr) * 2005-07-04 2007-01-11 Etienne Lacroix Tous Artifices S.A. Dispositif d'allumage sans fil a resonance
CN104158304A (zh) * 2014-07-30 2014-11-19 华南理工大学 移动式自适应能量与信息同步无线传输方法与传输装置
CN104270798A (zh) * 2014-09-23 2015-01-07 西安交通大学 一种适用于信能同传中继网络的分布式中继选择方法
CN104320219A (zh) * 2014-10-30 2015-01-28 浙江理工大学 多用户信能同传系统低复杂度收发机设计方法

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10123336B2 (en) 2015-07-21 2018-11-06 S. University of Science and Technology of China Resource allocation optimization method for simultaneous information and energy transfer system
US10205615B2 (en) 2015-07-21 2019-02-12 South University of Science & Technology of China Receiving method and system for digital simultaneous information and energy transfer
US10211957B2 (en) 2015-07-21 2019-02-19 South University of Science & Technology of China Method and system for simultaneous information and energy transfer with a guard interval signal
US10630117B2 (en) 2015-07-21 2020-04-21 South University of Science & Technology of China Energy management method and system for receiving terminal of simultaneous information and energy transfer system
CN109121215A (zh) * 2018-09-05 2019-01-01 广州恒创智能科技有限公司 无线体感网中能量和数据协同传输调度方法
CN109121215B (zh) * 2018-09-05 2023-02-17 广州恒创智能科技有限公司 无线体感网中能量和数据协同传输调度方法
CN110518987A (zh) * 2019-08-28 2019-11-29 电子科技大学 数能一体化传输系统及信号分割方法
CN113194487A (zh) * 2021-04-28 2021-07-30 电子科技大学 一种基于波形赋型技术的单用户宽带无线数据能量传输方法
CN113194487B (zh) * 2021-04-28 2022-08-05 电子科技大学 基于波形赋型技术的单用户宽带无线数据能量传输方法

Also Published As

Publication number Publication date
CN104812078B (zh) 2018-09-14
CN104812078A (zh) 2015-07-29

Similar Documents

Publication Publication Date Title
WO2016149949A1 (zh) 一种多载波宽带信能同传优化方法
WO2017012148A1 (zh) 一种应用于信能同传系统的资源分配优化方法
WO2016149947A1 (zh) 一种多载波宽带信息能量同传发送系统及接收系统
WO2016149948A1 (zh) 一种信息能量同传发送方法及接收方法
US9641224B2 (en) Transmitting method and receiving method for simultaneous information and energy transfer
CN108462950A (zh) 基于noma的d2d通信联合子信道与功率分配方法
CN108770007A (zh) 基于noma的无线携能通信系统多目标优化方法
CN107359927B (zh) 一种eh能量收集协作通信网络中继选择方法
Ye et al. Optimization for wireless-powered IoT networks enabled by an energy-limited UAV under practical energy consumption model
CN105007631B (zh) 一种协作认知网络中保证QoS要求的联合资源分配方法
CN111918320B (zh) 时分双工下非正交多址接入的无线通信资源优化分配方法
CN109362090B (zh) 认知中继网络能量效率最大化的功率分配优化方法
CN108600999A (zh) Fd-d2d基于信道分配与功率控制联合优化方法
CN110519848A (zh) 一种认知中继无线传感器网络的联合资源分配方法
US10211957B2 (en) Method and system for simultaneous information and energy transfer with a guard interval signal
CN106454990A (zh) 一种考虑能量传输的中继选择方法
CN109039660B (zh) Eh分布式基站系统的能量共享和功率分配方法
CN104918207B (zh) 异构网络中基于频谱资源分配的多d2d通信资源分配方法
US10630117B2 (en) Energy management method and system for receiving terminal of simultaneous information and energy transfer system
Huang et al. Optimal dynamic resource allocation for multi-point communication in WBAN
CN109769263A (zh) 一种安全高能效的认知d2d通信方法
CN109275149B (zh) 一种认知无线供电网络中基于能量累积的资源分配方法
CN103561430A (zh) 一种均衡能量效率和频谱效率的方法
CN103442421B (zh) 基于一元三次方程求根和匈牙利算法的高能效资源优化法
CN103428767B (zh) 基于分式规划和罚函数方法的高能效资源优化方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15885888

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC ( EPO FORM 1205A DATED 07/02/2018 )

122 Ep: pct application non-entry in european phase

Ref document number: 15885888

Country of ref document: EP

Kind code of ref document: A1