CN116963005A - Wireless energy transmission scheduling device based on ubiquitous Internet of things signal - Google Patents
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- 238000001514 detection method Methods 0.000 claims abstract description 16
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- 238000007726 management method Methods 0.000 claims description 18
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
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- H04W72/0446—Resources in time domain, e.g. slots or frames
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
- H04W72/566—Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The application provides a wireless energy transmission scheduling device based on ubiquitous Internet of things signals, wherein a terminal relevance management module is responsible for configuring detection signals for all access terminals, and measuring position information of the terminals and a channel receiving response matrix according to the detection signals; after receiving a report instruction that the terminal energy storage is smaller than a preset threshold1, the terminal electric energy management module configures the terminal to enter a wireless energy receiving normally open state; the time domain sequencing module performs time domain sequencing on the scheduling priority of each user according to a scheduling strategy to form a queue Tl i st; the energy transmission scheduling module selects at least one accompanying user for each energy receiving terminal from T l i st according to the time domain priority from high to low to form a queue A l i st, and deletes the A l i st members from T l i st; the frequency domain scheduling module schedules the remaining users from the T l ist to form a list O l ist and schedules frequency domain resources for the users in O l ist and A l ist. According to the application, the energy transmission is added in the scheduling process to accompany the user scheduling, and the signals accompanying the user data transmission process are utilized to realize normal charging for the terminal to be energy-receiving.
Description
The application relates to a wireless energy transmission scheduling method, which is applied separately, the application number of the parent application is 202211309513.1, the application date is 2022.10.25.
Technical Field
The application relates to the technical field of wireless energy transmission, in particular to a wireless energy transmission scheduling device based on ubiquitous Internet of things signals.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In future wireless communication, mass information transmission and mutual sharing between ubiquitous terminals becomes a normal state, so that the mutual exchange of everything information is realized, and therefore, the power consumption is overlarge due to high-frequency data transmission operation of a plurality of terminals, and further, the terminals are required to be subjected to timely energy compensation through a wireless energy transmission mechanism, so that the purpose that the terminals are always online and permanently serve the transmission requirement is realized. Therefore, wireless transmission is a current topic of intense research.
However, the existing wireless energy transmission technology requires strict position association requirements between an energy-transmitting party and an energy-receiving party, otherwise, wireless energy transmission cannot be performed, so that great limitation is brought to application of wireless energy transmission, and the requirement that ubiquitous equipment needs to wirelessly transmit energy anytime and anywhere after future wireless network evolution cannot be met.
Disclosure of Invention
The application provides a wireless energy transmission scheduling device based on ubiquitous Internet of things signals, which is used for realizing normal charging for a terminal to be enabled by adding energy transmission accompanying user scheduling in a scheduling process and utilizing signals accompanying user data transmission process.
The application provides a wireless energy transmission scheduling device based on ubiquitous Internet of things signals, which comprises a terminal relevance management module, a terminal electric energy management module, a time domain sequencing module, an energy transmission scheduling module and a frequency domain scheduling module, wherein the function modules have the following functions:
the terminal relevance management module is responsible for configuring detection signals for all access terminals, and measuring the position information of the terminals and the channel receiving response matrix according to the detection signals;
the terminal power management module is used for configuring the terminal to enter a wireless energy receiving normally open state after receiving a reporting instruction that the terminal energy storage is smaller than a preset threshold1, and configuring the terminal to exit the wireless energy receiving state after receiving a reporting instruction that the terminal energy storage is larger than a preset threshold 2;
the time domain sequencing module is used for performing time domain sequencing on the scheduling priority of each user according to a scheduling strategy to form a queue Tlist;
the energy transmission scheduling module is used for selecting at least one accompanying user for each energy receiving terminal from Tlist according to the time domain priority from high to low to form a queue Alist, and deleting Alist members from the Tlist;
the frequency domain scheduling module forms a list Olist from Tlist scheduling residual users and schedules frequency domain resources for the users in the Olist and the Alist;
the energy transmission scheduling module selects at least one accompanying user for each energy receiving terminal, and the specific steps for forming a queue Alist are as follows:
step 4.1, establishing an enabled terminal list administered by the scheduling device, and sorting according to the residual electric quantity of the terminals from low to high to form a list ListB;
step 4.2, judging whether the ListB is empty, if so, jumping to step 4.8, if not, selecting a first terminal from the ListB, defining the first terminal as a terminal K, and deleting the terminal from the ListB;
step 4.3, selecting a terminal with the distance from the terminal K smaller than a Threshold1 from Tlist to form a terminal list SubTlist;
and 4.4, calculating a correlation coefficient list CorK (P) of channel receiving response matrixes of each terminal P and the terminal K in the terminal SubTlist, wherein the CorK (P) is calculated by the following method, the P values are 0, the number of the terminals in the SubTlist is equal to P-1, and the total number of the terminals in the SubTlist is:
step 4.4.1, firstly according toCalculating a normalization coefficient AK of the terminal K, wherein HK i,j A signal receiving response of the signal of the jth antenna of the terminal K at the ith antenna of the base station;
step 4.4.2, followed byCalculating the normalized coefficient A (p) of each terminal p in the SubTlist, wherein H (p) i,j A signal receiving response at the i-th antenna of the base station for the signal of the j-th antenna of the terminal p;
step 4.4.3, finally according toCalculating to obtain a correlation coefficient of a channel receiving response matrix between each terminal p and each terminal K, wherein abs (X) represents an amplitude value of taking X, and conj (X) represents a conjugate value of taking X;
step 4.5, selecting a terminal with the highest correlation coefficient with the terminal K from the CorK (p) list, defining the terminal as a terminal F, and determining the terminal F as an accompanying user of the terminal K;
step 4.6, judging whether the terminal F is in the Alist, if so, adding 1 to the energy-giving coefficient of the terminal F, and jumping to the step 4.7; if not, adding to Alist, setting the energy-giving coefficient of the terminal F to be 1, and jumping to the step 4.7; in the step 4.6, the member of Tlist is not changed;
step 4.7, judging whether the number of the Alist members is larger than or equal to the upper limit of a single TTI scheduled user, if so, jumping to step 4.8, and if not, jumping to step 4.2;
step 4.8, deleting the Alist member from the Tlist list to finish the processing;
the frequency domain scheduling module can schedule the user number X1 and the user number X2 scheduled by Alist according to a single TTI, and then schedule the previous (X1-X2) users from Tlist.
Preferably, in the step 1, the specific method for measuring the position information of the terminal according to the detection signal is as follows: based on each signal receiving and transmitting node, measuring the detection signal sent by the terminal, and then calculating the position information of the terminal based on any one or more of a fingerprint method, a hyperbola method and an AOA+TA method, wherein TA is Timing Advance, namely Timing Advance, and AoA is Angle of Arrival, namely incoming wave direction.
Preferably, in the step 1, the receiving response matrix is a matrix of n×m, N is the number of transmitting antennas of the terminal, M is the number of receiving antennas of the base station, and any one of a least square method and a least mean square error method may be used for the estimating method of the receiving response.
Preferably, in the step 2, after the terminal is configured to enter a wireless power-on normally-open state, a receiving channel is opened, and the wireless signal is converted into energy for storage.
Preferably, in the step 3, the scheduling policy includes any one of a proportional average method, a polling method, and a Qos method.
Preferably, in the 4.5, if the terminal with the highest correlation coefficient includes a plurality of terminals, a terminal closest to the base station is selected as the accompanying user.
Preferably, the frequency domain scheduling module schedules the frequency domain resource by:
step 5.1, determining the minimum resource scheduling amount MinSchedOlist (K1) of the current TTI of each user in the Olist and the minimum resource scheduling amount MinSchedAlist (K2) of the current TTI of each user in the Alist, wherein the value of K1 is 0, the value of K1-1 represents the number of Olist members, the value of K2 is 0, the value of K2-1, and the value of K2 represents the number of Alist members; the minimum resource adjustment amount Current Minpacket is obtained by the current accumulated transmission data amount AccumultePack of the user, accumulated transmission time (T_Current-T_start) and minimum guarantee Rate Rate_GBR through the following formula (AccumultePack+Current Minpacket)/(T_Current-T_start) > Rate_GBR;
step 5.2, subtracting MinResource from the total resource SumResource to obtain SulResource;
step 5.3, according to the formulaCalculating to obtain the resource allocation duty ratio of each member in Alist in SulResource, wherein i is the number of the terminal in the Alist list, value i For the energy-giving coefficient of terminal i in the Alist list, percentage i The duty ratio of the terminal member i in the residual resource;
step 5.4, calculating SulResource Percent i + MinSchedAlist (i) to obtain the resource scheduling number Sche of each member in AlistdAllist (i), the resource scheduling number of each member in Olist is MinSchedOlist (k 1).
Compared with the prior art, the application has the beneficial effects that:
according to the scheduling device, the energy transmission is added in the scheduling process, the user scheduling is accompanied, the signals accompanied with the user data transmission process are utilized to realize normal charging for the terminal to be enabled, so that the ubiquitous signal is utilized to realize the service of charging at any time and any place as required for the ubiquitous terminal under the condition of not increasing the system overhead, and the application requirement that the terminal is always on under the condition of future everything information mutual sharing is greatly met.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application.
Figure 1 is a schematic flow diagram of a method in accordance with one embodiment of the application,
figure 2 is a schematic view of the device composition of an embodiment of the present application,
FIG. 3 is a schematic representation of the implementation of one embodiment of the present application.
The specific embodiment is as follows:
the application will be further described with reference to the drawings and examples.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
In the present disclosure, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, are merely relational terms determined for convenience in describing structural relationships of the various components or elements of the present disclosure, and do not denote any one of the components or elements of the present disclosure, and are not to be construed as limiting the present disclosure.
As shown in fig. 1 to 3, the present application provides a wireless energy transmission scheduling device based on a ubiquitous internet of things signal, including: the scheduling device comprises a terminal relevance management module, a terminal electric energy management module, a time domain sequencing module, an energy transmission scheduling module and a frequency domain scheduling module, and the functions of the modules are described as follows:
the terminal relevance management module is responsible for configuring detection signals for all access terminals, and measuring the position information of the terminals and the channel receiving response matrix according to the detection signals;
the terminal power management module configures the terminal to enter a wireless energy receiving normally open state after receiving a reporting instruction that the terminal energy storage is smaller than a preset threshold;
the time domain sequencing module is used for performing time domain sequencing on the scheduling priority of each user according to a scheduling strategy to form a queue Tlist;
the energy transmission scheduling module is used for selecting at least one accompanying user for each energy receiving terminal from Tlist according to the time domain priority from high to low to form a queue Slist, and deleting the Alist members from the Tlist;
and the frequency domain scheduling module is used for scheduling the rest users from the Tlist to form a list Olist and scheduling frequency domain resources for the users in the Olist and the Alist.
The application also provides a wireless energy transmission method, which comprises the following specific steps:
step 1, a terminal relevance management module configures detection signals for all access terminals, and measures position information of the terminals and a channel receiving response matrix according to the detection signals;
step 2, after receiving a report instruction that the terminal energy storage is smaller than a preset threshold1, the terminal electric energy management module configures the terminal to enter a wireless energy receiving normally open state;
step 3, a time domain sequencing module performs time domain sequencing on the scheduling priority of each user according to a scheduling strategy to form a queue Tlist;
step 4, the energy transmission scheduling module selects at least one accompanying user for each energy receiving terminal from Tlist according to the time domain priority from high to low to form a queue Alist, and deletes Alist members from the Tlist;
and 5, forming a list Olist from the rest users in Tlist scheduling by a frequency domain scheduling module, and scheduling frequency domain resources for users in Alist and Olist.
In the step 1, the specific method for measuring the position information of the terminal according to the detection signal is as follows: and measuring detection signals sent by the terminal based on each signal receiving and transmitting node, and calculating the position information of the terminal based on any one or more of a fingerprint method, a hyperbola method and an AOA+TA method.
In the step 1, the receiving response matrix is a matrix of n×m, N is the number of transmitting antennas of the terminal, M is the number of receiving antennas of the base station, any one of LS algorithm and MMSE may be used for estimating the receiving response, where the LS algorithm is a Least square method of Least square, and the MMSE algorithm is a Least mean square error method of Minimum Mean Square Error.
In the step 2, after the terminal is configured to enter a wireless energy receiving normally open state, a receiving channel is opened, and a wireless signal is converted into energy for storage.
In the step 2, after receiving the report instruction that the terminal energy storage is greater than the preset threshold 2, the terminal electric energy management module configures the terminal to exit the wireless energy receiving state.
In the step 3, the scheduling policy includes any one of a proportional average method, a polling method and a Qos method.
In the step 4, the energy transmission scheduling module selects at least one accompanying user for each energy receiving terminal to form a queue Alist, and the specific method is as follows:
step 4.1, establishing an enabled terminal list administered by the scheduling device, and sorting according to the residual electric quantity of the terminals from low to high to form a list ListB;
step 4.2, judging whether the ListB is empty, if so, jumping to step 4.8, if not, selecting a first terminal from the ListB, defining the first terminal as a terminal K, and deleting the terminal from the ListB;
step 4.3, selecting a terminal with the distance from the terminal K smaller than a Threshold1 from Tlist to form a terminal list SubTlist;
and 4.4, calculating a correlation coefficient list CorK (P) of channel receiving response matrixes of each terminal P and the terminal K in the terminal SubTlist, wherein the CorK (P) is calculated by the following method, the P values are 0, the number of the terminals in the SubTlist is equal to P-1, and the total number of the terminals in the SubTlist is:
step 4.4.1, firstly calculating a normalization coefficient AK of a terminal K according to the signal receiving response of a signal of a jth antenna of the terminal K at an ith antenna of a base station;
step 4.4.2, calculating the normalization coefficient of each terminal p in the subTlist, wherein the normalization coefficient is the signal receiving response of the signal of the jth antenna of the terminal p at the ith antenna of the base station;
and 4.4.3, finally obtaining the correlation coefficient of the channel receiving response matrix between each terminal p and the terminal K according to calculation, wherein abs (X) represents the amplitude value of taking X, conj (X) represents the conjugate value of taking X, and the conjugation is phase matching, so that the in-phase processing of correlation operation is realized, the phases are the same, and the accumulated value is larger.
Step 4.5, selecting a terminal with the highest correlation coefficient with the terminal K from the list, defining the terminal as a terminal F, and determining the terminal F as an accompanying user of the terminal K;
step 4.6, judging whether the terminal F is in the Alist, if so, adding 1 to the energy-giving coefficient of the terminal F, and jumping to the step 4.7; if not, adding to Alist, setting the energy-giving coefficient of the terminal F to be 1, and jumping to the step 4.7; in the step 4.6, the member of Tlist is not changed;
step 4.7, judging whether the number of the Alist members is larger than or equal to the upper limit of a single TTI scheduled user, if so, jumping to step 4.8, and if not, jumping to step 4.2;
and 4.8, deleting the Alist member from the Tlist list to finish the processing.
In the above 4.5, if the terminal with the highest correlation coefficient includes a plurality of terminals, the terminal closest to the base station is selected as the accompanying user.
In the step 5, the specific method for forming the list Olist from the remaining users by the frequency domain scheduling module through Tlist scheduling is as follows:
the number of users X1 and the number of users X2 that have been scheduled by Alist can be scheduled according to a single TTI, and then the previous (X1-X2) users are scheduled from Tlist.
In the step 5, the frequency resource scheduling process is as follows:
step 5.1, determining the minimum resource scheduling amount MinSchedOlist (K1) of the current TTI of each user in the Olist and the minimum resource scheduling amount MinSchedAlist (K2) of the current TTI of each user in the Alist, wherein the value of K1 is 0, the value of K1-1 represents the number of Olist members, the value of K2 is 0, the value of K2-1, and the value of K2 represents the number of Alist members; the minimum resource adjustment amount Current Minpacket is obtained by the current accumulated transmission data amount AccumultePack of the user, accumulated transmission time (T_Current-T_start) and minimum guarantee Rate Rate_GBR through the following formula (AccumultePack+Current Minpacket)/(T_Current-T_start) > Rate_GBR;
step 5.2, subtracting MinResource from the total resource SumResource to obtain SulResource;
step 5.3, calculating according to a formula to obtain the resource allocation duty ratio of each member in the Alist in SulResource, wherein i is the number of a terminal in the Alist list, is the energy-giving coefficient of the terminal i in the Alist list, and is the duty ratio of the terminal member i in the residual resource SulResource;
and 5.4, calculating SulResource+ MinSchedAlist (i) to obtain the resource scheduling number SchedAlist (i) of each member in Alist, wherein the resource scheduling number of each member in Olist is MinSchedOlist (k 1).
In the step 5.1, the MinSchedOlist (K1) has K1 users, the MinSchedAlist (K2) has K2 users, each user calculates the minimum resource modulation amount of the user according to the mode of calculating the CurrentMinPacket, and the minimum resource modulation amount of the user is calculated according to the following steps
(accumulateplacket+currentminpacket) > rate_gbr (t_current-t_start) to obtain CurrentMinPacket > rate_gbr (t_current-t_start) -accumulateplacket, that is: the current minpacket is at least greater than the rate_gbr (t_current-t_start) -accumulateplacket, so the minimum scheduling is the rate_gbr (t_current-t_start) -accumulateplacket.
Specific embodiments of the present application are described below with specific examples:
as shown in fig. 3, the present embodiment includes a base station, 16 UEs (also called terminals and called users), if 4 UEs are scheduled in one TTI (transmission time interval), in this embodiment, M is equal to 2, n is equal to 2, and the terminal association management module of the base station configures probe signals for all access terminals, and measures the location information of the terminals and the channel receiving response matrix according to the probe signals.
At the time point of tti_100, the terminal power management module of the base station receives the report indication that the energy storage of UE2, UE3, UE4 and UE7 is smaller than the preset threshold1, and then the terminal power management module configures the four UEs to enter a wireless energy receiving normally open state.
Then, the time domain sequencing module of the base station performs time domain sequencing for the scheduling priority of each user at the time point of tti_100 according to the scheduling policy to form a queue Tlist, and in this embodiment, if the sequencing result is { UE10, UE13, UE0, UE11, UE12, UE5, UE8, UE1, UE6, UE9, UE14, UE15, UE2, UE3, UE4, UE7}.
Then, the base station energy transmission scheduling module selects at least one accompanying user for each energy receiving terminal from Tlist according to the time domain priority from high to low to form a queue Alist, and deletes Alist members from the Tlist, which is as follows:
according to step 4.1, a list of the enabled terminals administered by the scheduler is established, and the list ListB is formed by sorting from low to high according to the residual electric quantity of the terminals, and in the embodiment, the sorting result of ListB is { UE2, UE3, UE4, UE7};
step 4.2, determining that ListB is not null, then selecting a first terminal from ListB, defining the first terminal as terminal K (where terminal K corresponds to UE 2), and deleting the first terminal from ListB, where ListB is { UE3, UE4, UE7};
step 4.3, selecting a terminal with a distance smaller than a Threshold1 from Tlist to form a terminal list SubTlist, wherein the SubTlist is { UE1, UE5, UE3, UE4};
step 4.4, calculating a correlation coefficient list CorK (p) of channel receiving response matrixes of each terminal p and the terminal K in the terminal SubTlist, wherein the calculation method of the CorK (p) refers to the steps 4.4.1 to 4.4.3 as follows, wherein the p takes the values of 0, & gt, 3, and the specific calculation results are as follows:
in this embodiment, if the tti_100 is the same, the base station updates the receiving response matrix of each terminal as follows:
k receive response matrix HK i,j ＝{10+j，-5-6*j；9-8*j，-30},
Reception response matrix H (0) of terminal UE1 i,j ＝{10-j，-5-6*j；9+8*j，30}；
Reception response matrix H (1) of terminal UE5 i,j ＝{10+j，-5-6*j；9-8*j，-30}；
Reception response matrix H (2) of terminal UE3 i,j ＝{9+j，-5-5*j；8-8*j，-25}；
Reception response matrix H (3) of terminal UE3 i,j ＝{13+j，-6-3*j；9-8*j，-27}；
Then reference is made to steps 4.4.1 to 4.4.3 to obtain: AK is equal to 14.98; a (0) is equal to 14.98, corK (0) is equal to 3.27; a (1) is equal to 14.98, corK (1) is equal to 5.38; a (2) is equal to 13.11, corK (2) is equal to 5.23; a (3) is equal to 14.7, corK (3) is equal to 5.15;
step 4.5, selecting the terminal with the highest correlation coefficient with the terminal K from the CorK (p) list (the terminal with the highest CorK (2) value is selected by the calculation of the present embodiment and corresponds to the UE 5), defining the terminal as the terminal F, determining the terminal F (namely the UE 5) as the accompanying user of the terminal K, and if the terminal with the highest correlation coefficient comprises a plurality of terminals, selecting the terminal with the closest distance with the base station as the accompanying user;
step 4.6, judging whether the terminal F is in the Alist, if not, adding the terminal F to the Alist, setting the energy giving coefficient of the terminal F to be 1, and jumping to the step 4.7; in the step 4.6, the member of Tlist is not changed;
step 4.7, judging whether the number of the Alist members is greater than or equal to the upper limit of the user scheduled by a single TTI, if the judgment result of the round is no, jumping to step 4.2, and then completing the construction of the Alist members according to the principle, wherein the Alist finally selected in the TTI_100 comprises { UE5, UE8}, wherein the energy grant value coefficient of the UE5 is 3 (namely, UE5 provides energy grant for UE2, UE3 and UE 4), and the energy grant value coefficient of the UE8 is 1 (namely, UE8 only provides energy grant for UE 7)
And 4.8, deleting the Alist member from the Tlist list to finish the processing, wherein the Tlist member only comprises { UE10, UE13, UE0, UE11, UE12, UE1, UE6, UE9, UE14, UE15, UE2, UE3, UE4 and UE7}.
In the step 5, the remaining users are scheduled from Tlist to form a list Olist, and the specific method is that the number of schedulable users X1 is 4 and the number of users X2 scheduled by Alist is 2 according to a single TTI, and then the UEs 10 and 13 are scheduled before scheduling (X1-X2), i.e. the first 2 users from Tlist.
Next, frequency domain resources are scheduled for UE10, UE13, UE5, UE8 according to steps 5.1 to 5.4. If 200 RB resources can be scheduled in the TTI, i.e. SumResource is equal to 200 RBs, and in order to meet the rate_gbr Rate of each UE, in the TTI, UE10, UE13, UE5, UE8 need to schedule at least 20 RBs, 30 RBs, 10 RBs, and 20 RBs respectively, minResource is equal to 20+30+10+20=80 RBs, and then, according to the grant value coefficient, UE5 obtains 3/4 of the remaining 120 RBs, i.e. 90 RBs, because the grant value coefficient of UE5 is 3 and the grant value coefficient of UE8 is 1; and UE8 obtains 1/4 of the remaining 120 RBs, i.e. 30 RBs, the final allocation result is therefore: UE10, UE13, UE5, UE8 respectively schedule 20 RBs, 30 RBs, 10+90=100 RBs, 20+30=50 RBs, so that by the method of the application, when scheduling resources for four UEs served by the service in need of the service based on the energy transmission scheduling scheme, beams accompanying the UE can be utilized to charge the terminal to be enabled.
According to the method, the energy transmission is added in the scheduling process, the user scheduling is accompanied, the signals accompanied with the user data transmission process are utilized to realize normal charging for the terminal to be enabled, so that the ubiquitous signals are utilized to realize the service of charging the ubiquitous terminal as required at any time and any place under the condition of not increasing the system overhead, and the application requirement of the terminal on line all the time under the condition of future everything information mutual sharing is greatly met.
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
While the foregoing description of the embodiments of the present application has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the application, but rather, it is intended to cover all modifications or variations within the scope of the application as defined by the claims of the present application.
Claims (7)
1. The wireless energy transmission scheduling device based on the ubiquitous Internet of things signal is characterized by comprising a terminal relevance management module, a terminal electric energy management module, a time domain sequencing module, an energy transmission scheduling module and a frequency domain scheduling module, wherein the function modules have the following functions:
the terminal relevance management module is responsible for configuring detection signals for all access terminals, and measuring the position information of the terminals and the channel receiving response matrix according to the detection signals;
the terminal power management module is used for configuring the terminal to enter a wireless energy receiving normally open state after receiving a reporting instruction that the terminal energy storage is smaller than a preset threshold1, and configuring the terminal to exit the wireless energy receiving state after receiving a reporting instruction that the terminal energy storage is larger than a preset threshold 2;
the time domain sequencing module is used for performing time domain sequencing on the scheduling priority of each user according to a scheduling strategy to form a queue Tlist;
the energy transmission scheduling module is used for selecting at least one accompanying user for each energy receiving terminal from Tlist according to the time domain priority from high to low to form a queue Alist, and deleting Alist members from the Tlist;
the frequency domain scheduling module forms a list Olist from Tlist scheduling residual users and schedules frequency domain resources for the users in the Olist and the Alist;
the energy transmission scheduling module selects at least one accompanying user for each energy receiving terminal, and the specific steps for forming a queue Alist are as follows:
step 4.1, establishing an enabled terminal list administered by the scheduling device, and sorting according to the residual electric quantity of the terminals from low to high to form a list ListB;
step 4.2, judging whether the ListB is empty, if so, jumping to step 4.8, if not, selecting a first terminal from the ListB, defining the first terminal as a terminal K, and deleting the terminal from the ListB;
step 4.3, selecting a terminal with the distance from the terminal K smaller than a Threshold1 from Tlist to form a terminal list SubTlist;
and 4.4, calculating a correlation coefficient list CorK (P) of channel receiving response matrixes of each terminal P and the terminal K in the terminal SubTlist, wherein the CorK (P) is calculated by the following method, the P values are 0, the number of the terminals in the SubTlist is equal to P-1, and the total number of the terminals in the SubTlist is:
step 4.4.1, firstly according toCalculating a normalization coefficient AK of the terminal K, wherein HK i,j A signal receiving response of the signal of the jth antenna of the terminal K at the ith antenna of the base station;
step 4.4.2, followed byCalculating the normalized coefficient A (p) of each terminal p in the SubTlist, wherein H (p) i,j A signal receiving response at the i-th antenna of the base station for the signal of the j-th antenna of the terminal p;
step 4.4.3, finally according toCalculating to obtain a correlation coefficient of a channel receiving response matrix between each terminal p and each terminal K, wherein abs (X) represents an amplitude value of taking X, and conj (X) represents a conjugate value of taking X;
step 4.5, selecting a terminal with the highest correlation coefficient with the terminal K from the CorK (p) list, defining the terminal as a terminal F, and determining the terminal F as an accompanying user of the terminal K;
step 4.6, judging whether the terminal F is in the Alist, if so, adding 1 to the energy-giving coefficient of the terminal F, and jumping to the step 4.7; if not, adding to Alist, setting the energy-giving coefficient of the terminal F to be 1, and jumping to the step 4.7; in the step 4.6, the member of Tlist is not changed;
step 4.7, judging whether the number of the Alist members is larger than or equal to the upper limit of a single TTI scheduled user, if so, jumping to step 4.8, and if not, jumping to step 4.2;
step 4.8, deleting the Alist member from the Tlist list to finish the processing;
the frequency domain scheduling module can schedule the user number X1 and the user number X2 scheduled by Alist according to a single TTI, and then schedule the previous (X1-X2) users from Tlist.
2. The ubiquitous internet of things signal-based wireless energy transmission scheduling device of claim 1, wherein:
in the step 1, the specific method for measuring the position information of the terminal according to the detection signal is as follows: based on each signal receiving and transmitting node, measuring the detection signal sent by the terminal, and then calculating the position information of the terminal based on any one or more of a fingerprint method, a hyperbola method and an AOA+TA method, wherein TA is Timing Advance, namely Timing Advance, and AoA is Angle of Arrival, namely incoming wave direction.
3. The ubiquitous internet of things signal-based wireless energy transmission scheduling device of claim 2, wherein:
in the step 1, the receiving response matrix is a matrix of n×m, N is the number of transmitting antennas of the terminal, M is the number of receiving antennas of the base station, and any one of a least square method and a least mean square error method may be used for the estimating method of the receiving response.
4. The ubiquitous internet of things signal-based wireless energy transmission scheduling device of claim 1, wherein:
in the step 2, after the terminal is configured to enter a wireless energy receiving normally open state, a receiving channel is opened, and a wireless signal is converted into energy for storage.
5. The ubiquitous internet of things signal-based wireless energy transmission scheduling device of claim 1, wherein:
in the step 3, the scheduling policy includes any one of a proportional average method, a polling method and a Qos method.
6. The ubiquitous internet of things signal-based wireless energy transmission scheduling device of claim 1, wherein:
in the above 4.5, if the terminal with the highest correlation coefficient includes a plurality of terminals, the terminal closest to the base station is selected as the accompanying user.
7. The ubiquitous internet of things signal-based wireless energy transmission scheduling device of claim 1, wherein:
the frequency domain scheduling module schedules the frequency domain resource by the following steps:
step 5.1, determining the minimum resource scheduling amount MinSchedOlist (K1) of the current TTI of each user in the Olist and the minimum resource scheduling amount MinSchedAlist (K2) of the current TTI of each user in the Alist, wherein the value of K1 is 0, the value of K1-1 represents the number of Olist members, the value of K2 is 0, the value of K2-1, and the value of K2 represents the number of Alist members; the minimum resource adjustment amount Current Minpacket is obtained by the current accumulated transmission data amount AccumultePack of the user, accumulated transmission time (T_Current-T_start) and minimum guarantee Rate Rate_GBR through the following formula (AccumultePack+Current Minpacket)/(T_Current-T_start) > Rate_GBR;
step 5.2, subtracting MinResource from the total resource SumResource to obtain SulResource;
step 5.3, according to the formulaCalculating to obtain the resource allocation duty ratio of each member in Alist in SulResource, wherein i is the number of the terminal in the Alist list, value i For the energy-giving coefficient of terminal i in the Alist list, percentage i The duty ratio of the terminal member i in the residual resource;
step 5.4, calculating SulResource Percent i And (5) obtaining the resource scheduling number SchedAlist (i) of each member in Alist by + MinSchedAlist (i), wherein the resource scheduling number of each member in Olist is MinSchedOlist (k 1).
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| US20150303741A1 (en) * | 2014-04-18 | 2015-10-22 | Qualcomm Incorporated | Wireless energy transmission |
| WO2017160723A1 (en) * | 2016-03-15 | 2017-09-21 | Northeastern University | Distributed wireless charging system and method |
| CN105896748B (en) * | 2016-04-26 | 2019-02-26 | 中国科学技术大学 | Multiple receiving end dispatching methods in radiant type radio energy transmission system |
| CN106656286B (en) * | 2016-11-10 | 2020-08-25 | 河海大学 | Energy transmission system based on MIMO transmission technology in wireless energy supply network |
| CN106714222A (en) * | 2017-01-24 | 2017-05-24 | 天津工业大学 | Charging sequence scheduling method of wireless chargeable sensor network nodes |
| CN109361273B (en) * | 2018-10-30 | 2020-07-14 | 中国运载火箭技术研究院 | Wireless power transmission system for self-organizing formation platform nodes |
| EP4179631A1 (en) * | 2020-07-10 | 2023-05-17 | Telefonaktiebolaget LM ERICSSON (PUBL) | Wireless energy and data communication in a wireless communication network |
| CN113473401A (en) * | 2021-07-14 | 2021-10-01 | 中国电力科学研究院有限公司 | Wireless resource allocation method for power Internet of things application |
| CN113543085B (en) * | 2021-07-22 | 2023-04-07 | 河北百亚信息科技有限公司 | Time allocation and user scheduling method in D2D communication network based on energy collection technology |
| CN113783316B (en) * | 2021-09-23 | 2024-05-31 | 雷积慧 | Multi-point cooperative wireless energy transmission method |
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