CN110944375B - Method for allocating resources of wireless information and energy simultaneous transmission assisted fog computing network - Google Patents
Method for allocating resources of wireless information and energy simultaneous transmission assisted fog computing network Download PDFInfo
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- 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
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0212—Power saving arrangements in terminal devices managed by the network, e.g. network or access point is master and terminal is slave
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- 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
- H04W72/0446—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
- H04W72/53—Allocation or scheduling criteria for wireless resources based on regulatory allocation policies
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Abstract
The invention provides a wireless information and energy simultaneous transmission assisted mist computing network resource allocation method, which can reduce the energy consumption of wireless equipment and prolong the life cycle of a wireless network by jointly considering energy collection, local processing and computing unloading; the wireless device collects energy from received wireless signals through a wireless information and energy simultaneous transmission technology to carry out self power supply, and selects two modes of local calculation and calculation task unloading to surrounding calculation resources to reduce self energy consumption as much as possible so as to improve the scene of the network life cycle; the invention has the advantages that the mode selection of the wireless information and energy simultaneous transmission energy supply and the local computation mode unloading mode is considered at the same time, and a multi-resource joint optimization allocation algorithm of joint mode selection, time allocation, power division factor adjustment and node power control is provided.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a method for allocating resources of a fog computing network assisted by simultaneous transmission of wireless information and energy.
Background
The wireless information and energy simultaneous transmission technology comprises the following steps: in a wireless communication system, radio waves can carry both information and energy. The wireless information and energy simultaneous transmission technology can transmit information and energy to a receiving end simultaneously by utilizing radio waves, and has great significance for prolonging the service life of wireless equipment without fixed energy supply. At present, wireless equipment in a wireless network is mostly powered by a battery, high labor cost is needed for replacing the battery or charging the battery, and the continuous working time of the equipment is reduced, so that the life cycle of the wireless network is also greatly limited. The energy is collected while the information is transmitted by radio, so that the continuous working time of the equipment can be greatly prolonged, and the system performance of the wireless network is improved.
Wireless power splitting techniques: the wireless information and energy are transmitted simultaneously, and the wireless information and energy mainly correspond to two receiving modes, wherein one mode is time division receiving, and the other mode is power division receiving. Based on the two receiving modes, the optimal performance of the wireless information and energy simultaneous transmission technology system can be effectively obtained by dynamically adjusting the time division ratio or the power division ratio.
The fog computing is a new information data task processing mode, computing resources are deployed around the wireless device, and tasks with large computing capacity of the wireless device can be offloaded to the surrounding computing resources for processing, so that the computing processing capacity of the wireless device is improved, and meanwhile, the energy consumption caused by intensive computing of the wireless device can be reduced.
Disclosure of Invention
The embodiment of the invention provides a method for allocating network resources for fog computing assisted by simultaneous transmission of wireless information and energy, which solves the technical problems of high energy consumption of wireless equipment and poor performance of a wireless network system in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme.
The method for the resource allocation of the wireless information and energy simultaneous transmission assisted fog computing network comprises the following steps:
the wireless equipment node receives a wireless signal sent by the hybrid access point and acquires channel information and task information;
the wireless device node respectively obtains the optimal resource configuration parameters of a local computing mode and a hybrid access point mode unloaded based on the channel information and the task information;
the wireless device node calculates and obtains energy consumption values of the wireless device node in the local calculation mode and the hybrid access point mode respectively based on the optimal resource configuration parameters in the local calculation mode and the optimal resource configuration parameters unloaded to the hybrid access point mode;
the wireless device node selects to enter a local computing mode or to offload to a hybrid access point mode based on the energy consumption value.
Preferably, the local computing mode and the optimal resource configuration parameters offloaded to the hybrid access point mode include: optimal time allocation t, power division factor q and optimal power control p of wireless signals；
The wireless device node respectively obtaining the optimal resource configuration parameters of the local computing mode and the hybrid access point mode based on the channel information and the task information comprises the following steps:
by the formula
Calculating the optimal receiving time t of the wireless signal in the local calculation mode1l(ii) a In the formula, T isThe time interval of one time slot, F is the number of times that the wireless device node can calculate operation per second, and C is the information transmission rate requirement of the hybrid access point;
by the formula
Calculating a local power division factor q in a local computation model(ii) a Where W is the communication bandwidth of the system, σ2Is the noise floor power;
by the formula
Calculating the local optimal calculation time length t in the local calculation mode2l；
By the formula
Calculating the optimal receiving time t of the wireless signal unloaded to the hybrid access point mode1o(ii) a Wherein eta is the energy conversion efficiency of the energy conversion circuit of the wireless equipment node;
by the formula
Computing an offload power split factor q for offload to hybrid access point modeo；
By the formula t2o＝T-t1o(6) Calculating the optimal unloading and transmitting time t of the wireless signal unloaded to the hybrid access point mode2o；
By the formula
Calculating optimal power control P offloaded to hybrid access point modes。
Preferably, the wireless device node obtaining the energy consumption values of the wireless device nodes in the local computing mode and the hybrid access point offloaded mode respectively based on the optimal resource configuration parameter computation in the local computing mode and the optimal resource configuration parameter computation in the hybrid access point offloaded mode comprises:
by the formula
Calculating the energy consumption value E of the wireless equipment node in the local computing mode(loc)(ii) a Where xi is the energy unit value consumed by the decoding circuit to decode each bit of data, and V is the energy unit value consumed by the calculation circuit to perform each calculation operation;
by the formula
Calculating a wireless device node energy consumption value E offloaded to hybrid access point modeo。
Preferably, the method further comprises:
when the wireless equipment node selects to enter the local computing mode, the wireless equipment node receives the optimal time length t of the wireless signal based on the local computing mode1lReceiving a wireless signal sent by a hybrid access point;
wireless device node based on local power split factor qlCalculating optimal local power division factors 1-qlAnd based on the optimal local power division factor 1-qlCollecting energy;
wireless device node based on local power split factor qlDecoding the information data;
wireless device node calculates time length t based on local optimal calculation2lAnd performing information data calculation processing.
Preferably, the method further comprises:
when the wireless device node selects to enter the uninstalled hybrid access point mode, the wireless device node is based on the optimal receiving time t of the wireless signal in the uninstalled hybrid access point mode1oReceive hybrid accessA wireless signal sent by an access point;
wireless device node based offload power split factor qoCalculating optimal offload power partition factors 1-qoAnd based on the optimal offload power division factor 1-qoCollecting energy;
wireless device node based offload power split factor qoDecoding the information data;
wireless equipment node is based on wireless signal optimum uninstallation transmission duration t2oAnd optimum power control PsAnd unloading the information data to the hybrid access point.
Preferably, the method further comprises:
when the wireless device node selects to enter the offload to hybrid access point mode, the hybrid access point receives information data offloaded from the wireless device node;
the hybrid access point performs a calculation on the information data and transmits the result of the calculation to the wireless device node.
Preferably, the method further comprises the steps of, before the wireless device node receives the wireless signal transmitted by the hybrid access point and acquires the channel information and the task information:
the hybrid access point encodes and modulates the information data;
the hybrid access point transmits the information data to the wireless device via the transmit antenna.
According to the technical scheme provided by the embodiment of the invention, the method for allocating the wireless information and energy simultaneous transmission assisted mist computing network resources effectively combines the wireless information and energy simultaneous transmission technology and mist computing, and aims to optimally allocate the resources such as communication, computation, energy and the like of a wireless network by combining the wireless energy collection technology and the mist computing technology, so that the energy consumption of wireless equipment is effectively reduced, and the system performance of the wireless network is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a process flow diagram of a method for wireless information and energy co-transmission assisted mist computing network resource allocation provided by the present invention;
FIG. 2 is a schematic diagram of a hardware configuration of a method for configuring network resources for mist computing assisted by simultaneous transmission of wireless information and energy according to the present invention;
fig. 3 is a logic block diagram of two calculation modes of the method for allocating resources in a mist calculation network assisted by simultaneous transmission of wireless information and energy provided by the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or coupled. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
For the convenience of understanding the embodiments of the present invention, the following description will be further explained by taking several specific embodiments as examples in conjunction with the drawings, and the embodiments are not to be construed as limiting the embodiments of the present invention.
Referring to fig. 1 to 3, the method for allocating resources in a mist computing network assisted by simultaneous transmission of wireless information and energy provided by the invention comprises the following steps:
the wireless equipment node receives a wireless signal sent by the hybrid access point and acquires channel information and task information;
the wireless device node respectively obtains the optimal resource configuration parameters of a local computing mode and a hybrid access point mode unloaded based on the channel information and the task information;
the wireless device node calculates and obtains the energy consumption values of the wireless device node in the local computing mode and the hybrid access point mode respectively based on the optimal resource configuration parameters of the local computing mode and the hybrid access point mode;
the wireless device node selects to enter a local computing mode or to offload to a hybrid access point mode based on the energy consumption value.
The method for the resource allocation of the wireless information and energy simultaneous transmission assisted mist computing network effectively combines the wireless information and energy simultaneous transmission technology and mist computing, aims to optimally allocate resources such as communication, computation and energy of a wireless network by combining the wireless energy collection technology and the mist computing technology, effectively reduces the energy consumption of wireless equipment, and improves the system performance of the wireless network.
In the first step, the hybrid access point sends a wireless signal to the wireless device node with a fixed transmission power P, the wireless device node performs channel estimation between the wireless device node and the hybrid access point according to the received wireless signal, the link gain is represented as g, and obtains task-related information from the wireless signal, such as the number of operation processes required to be performed on each bit of the task, which is represented as Z; in this embodiment, the wireless device node is denoted as u.
Further, in some preferred embodiments, the optimal resource configuration parameters of the local computing mode and the hybrid access point offloading mode include: optimal time allocation t, power division factor q and optimal power control p of wireless signals；
The wireless device node respectively obtaining the optimal resource configuration parameters of a local computing mode and a hybrid access point mode based on the channel information and the task information comprises:
by the formula
Calculating the optimal receiving time t of the wireless signal in the local calculation mode1l(ii) a Wherein, T is the time interval of a time slot, F is the number of times that the wireless device node u can calculate operation per second, and C is the information transmission rate requirement of the hybrid access point;
by the formula
Calculating a local power division factor q in a local computation model(ii) a Where W is the communication bandwidth of the system, σ2Is the noise floor power;
by the formula
Calculating the local optimal calculation time length t in the local calculation mode2l；
By the formula
Calculating the optimal receiving time t of the wireless signal unloaded to the hybrid access point mode1o(ii) a Wherein eta is the energy conversion efficiency of the energy conversion circuit of the wireless equipment node;
by the formula
Computing an offload power split factor q for offload to hybrid access point modeo；
By the formula t2o＝T-t1o(6) Calculating the optimal unloading and transmitting time t of the wireless signal unloaded to the hybrid access point mode2o；
By the formula
Calculating optimal power control P offloaded to hybrid access point modes。
Further, in some preferred embodiments, the above wireless device node calculating, based on the local computing mode and the optimal resource configuration parameter offloaded to the hybrid access point mode, to obtain the wireless device node energy consumption values in the local computing mode and the hybrid access point mode respectively includes:
by the formula
Calculating the energy consumption value E of the wireless equipment node in the local computing mode(loc)(ii) a Where xi is the energy unit value consumed by the decoding circuit to decode each bit of data, and V is the energy unit value consumed by the calculation circuit to perform each calculation operation;
by the formula
Calculating a wireless device node energy consumption value E offloaded to hybrid access point modeo；
The wireless equipment node calculates the energy consumption value E of the wireless equipment node in two modes according to the calculated optimal resource allocation parameter valuelAnd EoJudging the magnitude of the two energy consumption values, judging to select a mode according to the magnitude of the energy consumption, and if E is judgedl≤EoSelecting a local computing mode to operate, if El＞EoThen the offload to hybrid access point mode operation is selected.
Furthermore, the method provided by the invention further comprises the following steps:
when the wireless equipment node selects to enter a local computing mode, the wireless equipment node receives the optimal receiving time t of the wireless signal based on the local computing mode1lReceiving a wireless signal sent by a hybrid access point;
wireless device node based on said local power splitting factor qlCalculating optimal local power division factors 1-qlAnd based on the optimal local power division factor 1-qlCollecting energy;
wireless device node based on said local power splitting factor qlDecoding the information data;
the wireless device node calculates the time duration t based on the local optimum2lAnd performing information data calculation processing.
Furthermore, the method provided by the invention further comprises the following steps:
when the wireless equipment node selects to enter the unloading to hybrid access point mode, the wireless equipment node receives the optimal time length t of the wireless signal based on the unloading to hybrid access point mode1oReceiving a wireless signal sent by a hybrid access point;
wireless device node based on the offload power split factor qoCalculating optimal offload power partition factors 1-qoAnd based on the optimal offload power division factor 1-qoCollecting energy;
wireless device node based on the offload power split factor qoDecoding the information data;
the wireless equipment node transmits the time length t based on the optimal unloading of the wireless signal2oAnd optimum power control PsAnd unloading the information data to the hybrid access point.
Furthermore, the method provided by the invention further comprises the following steps:
when the wireless device node selects to enter the offload to hybrid access point mode, the hybrid access point receives information data offloaded from the wireless device node;
the hybrid access point performs a calculation on the information data and transmits the result of the calculation to the wireless device node.
Furthermore, the method provided by the present invention further includes the following steps before the wireless device node receives the wireless signal sent by the hybrid access point and acquires the channel information and the task information:
the hybrid access point encodes and modulates the information data;
the hybrid access point transmits the information data to the wireless device via the transmit antenna as signal s and with output power P.
In summary, the method provided by the present invention provides a mist computing network resource allocation method assisted by wireless information and energy simultaneous transmission, which can reduce energy consumption of wireless devices and prolong the lifetime of wireless networks by jointly considering energy collection, local processing and computation offloading; the proposed method is characterized in that: the wireless device collects energy from received wireless signals through a wireless information and energy simultaneous transmission technology to supply power to the wireless device, and selects two modes of local calculation and calculation task unloading to surrounding calculation resources to reduce energy consumption of the wireless device as much as possible so as to improve the life cycle of the network. Specifically, two stages are involved: firstly, the wireless device receives wireless signals from an access point (integrated computing resource) in a first stage, extracts energy and decoding information from the wireless signals, and secondly, the wireless device processes the received information and selects a local computing mode or an uninstalling computing mode according to the size and the computing complexity of information data. The wireless device can calculate the energy consumption required for local calculation and offloading calculation respectively according to the information received by the wireless device. In the process, the multi-resource joint optimization configuration of the system can be realized by power division for extracting energy and decoding information from the wireless signals in the first stage, time distribution in the first stage and the second stage and unloading transmission power control in the second stage, so that the energy consumption of wireless equipment is reduced, and the life cycle of the wireless network is prolonged. The invention has the advantages that the mode selection of the wireless information and energy simultaneous transmission energy supply and the local computation mode unloading mode is considered at the same time, and a multi-resource joint optimization allocation algorithm of joint mode selection, time allocation, power division factor adjustment and node power control is provided.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for apparatus or system embodiments, since they are substantially similar to method embodiments, they are described in relative terms, as long as they are described in partial descriptions of method embodiments. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. The method for the resource allocation of the wireless information and energy simultaneous transmission assisted fog computing network is characterized by comprising the following steps:
the wireless equipment node receives a wireless signal sent by the hybrid access point and acquires channel information and task information;
the wireless device node respectively obtains the optimal resource configuration parameters of a local computing mode and a hybrid access point mode unloaded based on the channel information and the task information; the optimal resource configuration parameters for the local computing mode and the offload to hybrid access point mode include: optimal time allocation t, power division factor q and optimal power control p of wireless signals；
The wireless device node calculates and obtains the energy consumption values of the wireless device node in the local computing mode and the hybrid access point mode respectively based on the optimal resource configuration parameters of the local computing mode and the hybrid access point mode;
the wireless device node selects to enter a local computing mode or to offload to a hybrid access point mode based on the energy consumption value;
the wireless device node respectively obtaining the optimal resource configuration parameters of a local computing mode and a hybrid access point mode based on the channel information and the task information comprises:
by the formula
Calculating the optimal receiving time t of the wireless signal in the local calculation mode1l(ii) a In the formula, T is a time interval of a time slot, F is the number of times that the wireless equipment node can calculate operation per second, C is the information transmission rate requirement of the hybrid access point, and Z is the number of operation processing required to be performed on each bit of a task;
by the formula
Calculating a local power division factor q in a local computation model(ii) a Where W is the communication bandwidth of the system, σ2Is the noise floor power, g is the link gain, and P is the transmission power of the hybrid access point;
by the formula
Calculating the local optimal calculation time length t in the local calculation mode2l；
By the formula
Calculating the optimal receiving time t of the wireless signal unloaded to the hybrid access point mode1o(ii) a Wherein eta is the energy conversion efficiency of the energy conversion circuit of the wireless equipment node;
by the formula
Computing an offload power split factor q for offload to hybrid access point modeo；
By the formula t2o＝T-t1o(6) Calculating the optimal unloading and transmitting time t of the wireless signal unloaded to the hybrid access point mode2o；
By the formula
Calculating optimal power control P offloaded to hybrid access point modes；
The wireless device node calculating the optimal resource configuration parameters of the local computing mode and the hybrid access point-unloaded mode to respectively obtain the energy consumption values of the wireless device node in the local computing mode and the hybrid access point-unloaded mode comprises the following steps:
by the formula
Calculating the energy consumption value E of the wireless equipment node in the local computing mode(loc)(ii) a Where xi is the energy unit value consumed by the decoding circuit to decode each bit of data, and V is the energy unit value consumed by the calculation circuit to perform each calculation operation;
by the formula
Calculating a wireless device node energy consumption value E offloaded to hybrid access point modeo。
2. The method of claim 1, further comprising:
when the wireless equipment node selects to enter a local computing mode, the wireless equipment node receives the optimal receiving time t of the wireless signal based on the local computing mode1lReceiving a wireless signal sent by a hybrid access point;
wireless device node based on said local power splitting factor qlCalculating optimal local power division factors 1-qlAnd based on the optimal local power division factor 1-qlCollecting energy;
wireless device node based on said local power splitting factor qlDecoding the information data;
the wireless device node calculates the time duration t based on the local optimum2lAnd performing information data calculation processing.
3. The method of claim 1, further comprising:
when the wireless equipment node selects to enter the unloading to hybrid access point mode, the wireless equipment node receives the optimal time length t of the wireless signal based on the unloading to hybrid access point mode1oReceiving a wireless signal sent by a hybrid access point;
wireless device node based on the offload power split factor qoCalculating optimal offload power partition factors 1-qoAnd based on the optimal offload power division factor 1-qoCollecting energy;
wireless device node based on the offload power split factor qoDecoding the information data;
the wireless equipment node transmits the time length t based on the optimal unloading of the wireless signal2oAnd optimum power control PsAnd unloading the information data to the hybrid access point.
4. The method of claim 3, further comprising:
when the wireless device node selects to enter the offload to hybrid access point mode, the hybrid access point receives information data offloaded from the wireless device node;
the hybrid access point performs a calculation on the information data and transmits the result of the calculation to the wireless device node.
5. The method according to any of claims 1 to 4, wherein the method further comprises the step of, before the wireless device node receives the wireless signal transmitted by the hybrid access point and acquires the channel information and the task information:
the hybrid access point encodes and modulates the information data;
the hybrid access point transmits the information data to the wireless device via the transmit antenna.
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| CN107318169A (en) * | 2017-06-27 | 2017-11-03 | 山东大学 | Power and time-division agents distribution method in a kind of SWIPT IDMA systems based on incomplete channel condition information |
| CN108770007A (en) * | 2018-05-22 | 2018-11-06 | 华南理工大学 | Wireless portable communications system Multipurpose Optimal Method based on NOMA |
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