CN107484111A - A kind of M2M communication network associate and power distribution algorithm - Google Patents

A kind of M2M communication network associate and power distribution algorithm Download PDF

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CN107484111A
CN107484111A CN201710757500.3A CN201710757500A CN107484111A CN 107484111 A CN107484111 A CN 107484111A CN 201710757500 A CN201710757500 A CN 201710757500A CN 107484111 A CN107484111 A CN 107484111A
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mrow
msub
equipment
network
msubsup
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CN107484111B (en
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柴蓉
马张枫
陈前斌
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Chongqing University of Post and Telecommunications
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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
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • 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
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
    • H04W52/228—TPC being performed according to specific parameters taking into account previous information or commands using past power values or information
    • 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
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/242—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account path loss
    • 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
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/241—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo

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

Abstract

The present invention relates to a kind of M2M communication network associate and power distribution algorithm, belongs to heterogeneous network resource allocation techniques field.This method comprises the following steps：Step 1) models M2M network energy consumptions；Step 2) models M2M device resource block access probabilities；Step 3) models M2M devices transfer rates；Step 4) modeling M2M device networks association and power distribution restrictive condition；Step 5) is based on network energy consumption and minimizes the association of determination M2M device networks and power distribution strategies.The method of the invention can be achieved network energy consumption and minimized by optimization design network associate and transmit power strategy.

Description

A kind of M2M communication network associate and power distribution algorithm
Technical field
The invention belongs to wireless communication technology field, more particularly to heterogeneous network resource allocation techniques field, specially one Kind M2M communication network associate and power distribution algorithm.
Background technology
Machinery compartment (Machine-to-Machine, M2M) communication refers to that equipment in the case of no human intervention, realizes machine Device is to the communication process between machine.M2M communication mode application machine is extensive, be widely used in intelligent grid, The fields such as smart machine, remote monitoring, intelligent medical, intelligent transportation.Usual M2M equipment volumes are smaller, to the size of battery with Electricity has certain limitation.Secondly, M2M number of devices is more, and scope is wide, is typically deployed at the scene of some situation rather harsh In, therefore, battery is difficult to change.Therefore, how to reduce the energy consumption of M2M equipment as far as possible, be the important class of M2M communication system Topic.
Consideration has been studied at present passes through M2M communication energy optimization problem.Document Park I, Kim D, Har D.MAC Achieving Low Latency and Energy Efficiency in Hierarchical M2M Networks With Clustered Nodes[J].IEEE Sensors Journal,2015,15(3):1657-1661, for M2M communication system, A kind of layered medium access control (MAC) agreement is proposed, to realize that node average retardation and energy consumption reduce.Document Arouk O, Ksentini A,Taleb T.Group.Paging-Based Energy Saving for Massive MTC Accesses in LTE and Beyond Networks[J].IEEE Journal on Selected Areas in Communications,2016,34(5):For M2M communication system a large number of users access problem in 1086-1102, it is proposed that one The scattered method of kind flow, by accessing channel in different time to M2M device packets, each group equipment, channel height can be achieved and connect Enter rate, reduce the access delay and power consumption of channel.
Existing research mainly realizes the reduction of M2M equipment energy consumptions by MAC protocol and random access mechanism design, fails to integrate Consider user's Stochastic accessing, the influence problem of network associate and power distribution strategies to equipment energy consumption, it is difficult to realize network performance Optimization.
The content of the invention
In view of this, it is an object of the invention to provide a kind of M2M communication grid association and power distribution algorithm, In this method, if M2M equipment is located at multiple network integration overlay areas, it may be selected to associate with the foundation of suitable network；Modeling is set Standby joint energy consumption is optimization aim, realizes the combined optimization distribution of equipment selection network, equipment transmit power.
To reach above-mentioned purpose, the present invention provides following technical scheme：
A kind of M2M communication network associate and power distribution algorithm, comprise the following steps,
Step 1) models M2M network energy consumptions；
Step 2) models M2M device resource block access probabilities；
Step 3) models M2M devices transfer rates；
Step 4) modeling M2M device networks association and power distribution restrictive condition；
Step 5) is based on network energy consumption and minimizes the association of determination M2M device networks and power distribution strategies.
Further, in step 1), the M2M network energy consumptions are the energy consumption and satisfaction of the M2M equipment of all access networks Following relation,
Wherein, w is the energy consumption and w of the M2M equipment of all access networksI, jClosed for i-th of M2M equipment and j-th of network Corresponding energy consumption during connection, M are the M2M equipment sum in network, and N is that the M2M networks in network are total, and 1≤i≤M, 1≤j≤ M, xI, jFor M2M equipment and the association identification of network, the x when i-th of equipment is with j-th of network associateI, j=1, otherwise xI, j=0；
The wI, jMeet following relation,
wI, j=(pI, j+pcir)L0
Wherein, pI, jRepresent the transmit power of i-th of equipment and equipment during j-th of network associate, pcirRepresent that M2M equipment connects The power that circuit is consumed when entering network, L0Represent the duration of transmission resource block.
Further, in step 2), the M2M device resources block access probability is
Wherein,For M2M device resource block access probabilities, fI, jFor i-th of equipment and connecing during j-th of network associate Enter control and prevent the factor, uI, jFor i-th of equipment and the probability of access-in resource block during j-th of network associate, vjFor M2M equipment with Number during j-th of network associate, each network can only provide vjUser accesses, i.e.,
It is assumed that the probability that M2M equipment in same network, selects resource block is equal, i.e.,
LjFor the sum of j-th of resources in network block.
Further, in step 3), the M2M devices transfer rates are obtained by shannon formula,
Wherein, RI, jRepresent i-th of equipment and transmission rate during j-th of network associate, BjThe bandwidth of j-th of network is represented, hI, jRepresent the channel gain of link between i-th of equipment and j-th of network base station, σ2For noise power, pI, mRepresent to set for i-th The standby transmit power with equipment during m-th of network associate, hI, mRepresent the letter of link between i-th of equipment and m-th of network base station Road gain.
Further, in step 4), the M2M device networks association and power distribution restrictive condition meet following condition：
I assumes that each M2M equipment can only select a network to be accessed, i.e.,
When II i-th of equipment are with j-th of network associate, equipment transmit power should be less than its maximum transmission power, i.e.,
Wherein,Represent the maximum transmit power of i-th of equipment；
When III i-th of equipment are with j-th of network associate, should meet the needs of equipment minimum throughout, i.e.,
Wherein,For the minimum transmission rate of i-th of equipment.
Further, in step 5), described minimized based on network energy consumption determines the association of M2M device networks and power distribution Strategy is
The beneficial effects of the present invention are：The method of the invention can access heterogeneous network with effective guarantee in M2M equipment In the case of network, equipment related network is optimal, and equipment transmit power is optimal, realizes that equipment energy consumption minimizes.
Brief description of the drawings
In order that the purpose of the present invention, technical scheme and beneficial effect are clearer, the present invention provides drawings described below and carried out Explanation：
Fig. 1 is heterogeneous network scene schematic diagram；
Fig. 2 is the schematic flow sheet of the method for the invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
A kind of M2M communication grid association of the present invention and power distribution algorithm, it is assumed that multiple heterogeneous networks be present Network, modeling M2M equipment energy consumptions are the product of the duration of equipment transimission power and transmission resource block, are minimized and determined based on network energy consumption M2M device networks associate and power distribution optimisation strategy.
Fig. 1 heterogeneous network scene figures, M2M equipment selection network is communicated in heterogeneous network, by optimizing equipment-network Association and power distribution minimize equipment energy consumption.
Fig. 2 is the schematic flow sheet of the method for the invention, as illustrated, the method for the invention specifically includes following step Suddenly：
1) M2M network energy consumptions are modeled；
Modeled network energy consumption w be it is all access networks M2M equipment energy consumption and, i.e.,
Wherein, w is the energy consumption and w of the M2M equipment of all access networksI, jClosed for i-th of M2M equipment and j-th of network Corresponding energy consumption during connection, M are the M2M equipment sum in network, and N is that the M2M networks in network are total, and 1≤i≤M, 1≤j≤ M, xI, jFor M2M equipment and the association identification of network, the x when i-th of equipment is with j-th of network associateI, j=1, otherwise xI, j=0；
wI, jIt is defined as
wI, j=(pI, j+pcir)L0
Wherein, pI, jRepresent the transmit power of i-th of equipment and equipment during j-th of network associate, pcirRepresent that M2M equipment connects The power that circuit is consumed when entering network, L0Represent the duration of transmission resource block.
2) M2M device resource block access probabilities are modeled；
Modeling M2M device resource block access probabilities is
Wherein,For M2M device resource block access probabilities, fI, jFor i-th of equipment and connecing during j-th of network associate Enter control and prevent the factor, uI, jFor i-th of equipment and the probability of access-in resource block during j-th of network associate, vjFor M2M equipment with Number during j-th of network associate, each network can only provide vjUser accesses, i.e.,
It is assumed that the probability that M2M equipment in same network, selects resource block is equal, i.e.,
LjFor the sum of j-th of resources in network block.
3) M2M devices transfer rates are modeled；
M2M devices transfer rates are obtained by shannon formula,
Wherein, RI, jRepresent i-th of equipment and transmission rate during j-th of network associate, BjThe bandwidth of j-th of network is represented, hI, jRepresent the channel gain of link between i-th of equipment and j-th of network base station, σ2For noise power, pI, mRepresent to set for i-th The standby transmit power with equipment during m-th of network associate, hI, mRepresent the letter of link between i-th of equipment and m-th of network base station Road gain.
4) association of M2M device networks and power distribution restrictive condition are modeled；
I assumes that each M2M equipment can only select a network to be accessed, i.e.,
When II i-th of equipment are with j-th of network associate, equipment transmit power should be less than its maximum transmission power, i.e.,
Wherein,Represent the maximum transmit power of i-th of equipment；
When III i-th of equipment are with j-th of network associate, should meet the needs of equipment minimum throughout, i.e.,
Wherein,For the minimum transmission rate of i-th of equipment.
5) minimized based on network energy consumption and determine the association of M2M device networks and power distribution strategies.
Minimized based on network energy consumption and determine that the association of M2M device networks and power distribution strategies are
Finally illustrate, preferred embodiment above only to illustrate invention technical scheme and it is unrestricted, although passing through The present invention is described in detail for above preferred embodiment, it is to be understood by those skilled in the art that can be in shape Various changes are made in formula and to it in details, without departing from claims of the present invention limited range.

Claims (6)

1. a kind of M2M communication network associate and power distribution algorithm, it is characterised in that：The algorithm comprises the following steps：
Step 1), modeling M2M network energy consumptions；
Step 2), modeling M2M device resource block access probabilities；
Step 3), modeling M2M devices transfer rates；
Step 4), the association of modeling M2M device networks and power distribution restrictive condition；
Step 5), the association of determination M2M device networks and power distribution strategies are minimized based on network energy consumption.
2. a kind of M2M communication network associate according to claim 1 and power distribution algorithm, it is characterised in that：In step 1) in, the M2M network energy consumptions are the energy consumption of the M2M equipment of all access networks and meet following relation：
<mrow> <mi>w</mi> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msub> <mi>w</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </mrow>
Wherein, w is the energy consumption and w of the M2M equipment of all access networksI, jDuring for i-th of M2M equipment with j-th of network associate Corresponding energy consumption, M are the M2M equipment sum in network, and N is that the M2M networks in network are total, and 1≤i≤M, 1≤j≤M, xI, jFor M2M equipment and the association identification of network, the x when i-th of equipment is with j-th of network associateI, j=1, otherwise xI, j=0；
The wI, jMeet following relation,
wI, j=(pI, j+pcir)L0
Wherein, pI, jRepresent the transmit power of i-th of equipment and equipment during j-th of network associate, pcirRepresent M2M equipment access networks The power that circuit is consumed during network, L0Represent the duration of transmission resource block.
3. a kind of M2M communication network associate according to claim 2 and power distribution algorithm, it is characterised in that：In step 2) in, the M2M device resources block access probability is
<mrow> <msubsup> <mi>u</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> <mi>S</mi> </msubsup> <mo>=</mo> <msub> <mi>f</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msub> <mi>u</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <msub> <mi>u</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>)</mo> </mrow> <mrow> <msub> <mi>v</mi> <mi>j</mi> </msub> <mo>-</mo> <mn>1</mn> </mrow> </msup> </mrow>
Wherein,For M2M device resource block access probabilities, fI, jFor i-th of equipment and access control during j-th of network associate System prevents the factor, uI, jFor i-th of equipment and the probability of access-in resource block during j-th of network associate, vjFor M2M equipment and j-th Number during network associate, each network can only provide vjUser accesses, i.e.,
<mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>M</mi> </munderover> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>v</mi> <mi>j</mi> </msub> </mrow>
It is assumed that the probability that M2M equipment in same network, selects resource block is equal, i.e.,
<mrow> <msub> <mi>u</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <mfrac> <mn>1</mn> <msub> <mi>L</mi> <mi>j</mi> </msub> </mfrac> </mrow>
LjFor the sum of j-th of resources in network block.
4. a kind of M2M communication network associate according to claim 3 and power distribution algorithm, it is characterised in that：In step 3) in, the M2M devices transfer rates are obtained by shannon formula,
<mrow> <msub> <mi>R</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <msubsup> <mi>u</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> <mi>S</mi> </msubsup> <msub> <mi>B</mi> <mi>j</mi> </msub> <mi>l</mi> <mi>o</mi> <mi>g</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mfrac> <mrow> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <msub> <mi>h</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> </mrow> <mrow> <msup> <mi>&amp;sigma;</mi> <mn>2</mn> </msup> <mo>+</mo> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>m</mi> <mo>&amp;NotEqual;</mo> <mi>j</mi> </mrow> <mi>N</mi> </msubsup> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>m</mi> </mrow> </msub> <msub> <mi>h</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>m</mi> </mrow> </msub> </mrow> </mfrac> <mo>)</mo> </mrow> </mrow>
Wherein, RI, jRepresent i-th of equipment and transmission rate during j-th of network associate, BjRepresent the bandwidth of j-th of network, hI, jTable Show the channel gain of link between i-th of equipment and j-th of network base station, σ2For noise power, pI, mRepresent i-th equipment with The transmit power of equipment, h during m-th of network associateI, mRepresent that the channel of link between i-th of equipment and m-th of network base station increases Benefit.
5. a kind of M2M communication network associate according to claim 4 and power distribution algorithm, it is characterised in that：In step 4) in, the M2M device networks association and power distribution restrictive condition meet following condition：
I assumes that each M2M equipment can only select a network to be accessed, i.e.,
<mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>&amp;le;</mo> <mn>1</mn> </mrow>
When II i-th of equipment are with j-th of network associate, equipment transmit power should be less than its maximum transmission power, i.e.,
<mrow> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>p</mi> <mi>i</mi> <mi>max</mi> </msubsup> </mrow>
Wherein,Represent the maximum transmit power of i-th of equipment；
When III i-th of equipment are with j-th of network associate, should meet the needs of equipment minimum throughout, i.e.,
<mrow> <msub> <mi>R</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>&amp;GreaterEqual;</mo> <msubsup> <mi>R</mi> <mi>i</mi> <mi>min</mi> </msubsup> </mrow>
Wherein,For the minimum transmission rate of i-th of equipment.
6. a kind of M2M communication network associate according to claim 5 and power distribution algorithm, it is characterised in that：In step 5) in, described minimized based on network energy consumption determines that the association of M2M device networks and power distribution strategies are
<mrow> <mo>(</mo> <msubsup> <mi>x</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>,</mo> <msubsup> <mi>p</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>*</mo> </msubsup> <mo>)</mo> <mo>=</mo> <msub> <mi>argminw</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>,</mo> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>)</mo> <mo>.</mo> </mrow> 2
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CN108769958A (en) * 2018-06-14 2018-11-06 重庆邮电大学 M2M communication joint cluster based on energy optimization and resource allocation methods
CN115173903A (en) * 2022-06-30 2022-10-11 重庆邮电大学 Power distribution method for common-sense integrated system

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CN105722016A (en) * 2016-02-05 2016-06-29 中国矿业大学 Cooperative control method for transmitting power of gateway and terminals in hierarchical M2M network
US20160295532A1 (en) * 2015-03-31 2016-10-06 Huawei Technologies Co., Ltd. Efficient uplink timing synchronization for fixed-location m2m terminals

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CN105142208A (en) * 2015-09-25 2015-12-09 中国矿业大学 High-energy-efficiency power and time slot distribution method in embedded M2M cellular network
CN105722016A (en) * 2016-02-05 2016-06-29 中国矿业大学 Cooperative control method for transmitting power of gateway and terminals in hierarchical M2M network

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108769958A (en) * 2018-06-14 2018-11-06 重庆邮电大学 M2M communication joint cluster based on energy optimization and resource allocation methods
CN108769958B (en) * 2018-06-14 2020-11-06 重庆邮电大学 M2M communication joint clustering and resource allocation method based on energy consumption optimization
CN115173903A (en) * 2022-06-30 2022-10-11 重庆邮电大学 Power distribution method for common-sense integrated system
CN115173903B (en) * 2022-06-30 2024-03-26 深圳泓越信息科技有限公司 Power distribution method of general sense integrated system

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