CN107484111B - M2M communication network association and power distribution algorithm - Google Patents

M2M communication network association and power distribution algorithm Download PDF

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CN107484111B
CN107484111B CN201710757500.3A CN201710757500A CN107484111B CN 107484111 B CN107484111 B CN 107484111B CN 201710757500 A CN201710757500 A CN 201710757500A CN 107484111 B CN107484111 B CN 107484111B
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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

Abstract

The invention relates to an M2M communication network association and power allocation algorithm, belonging to the technical field of heterogeneous network resource allocation. The method comprises the following steps: step 1) modeling M2M network energy consumption; step 2), modeling the access probability of the M2M equipment resource block; step 3) modeling the transmission rate of the M2M equipment; step 4) modeling M2M equipment network association and power distribution limiting conditions; step 5) determining M2M device network association and power distribution strategies based on network energy consumption minimization. The method of the invention can realize the minimization of network energy consumption by optimally designing the network association and the transmission power strategy.

Description

M2M communication network association and power distribution algorithm
Technical Field
The invention belongs to the technical field of wireless communication, particularly relates to the technical field of heterogeneous network resource allocation, and particularly relates to an M2M communication network association and power allocation algorithm.
Background
Machine-to-Machine (M2M) communication refers to a process of communication between machines without human intervention. The M2M communication mode has a wide application range, and has been widely applied to the fields of smart grids, smart devices, remote monitoring, smart medical treatment, smart transportation and the like. Generally, M2M devices are small in size, and have certain limitations on the size and quantity of electricity of the battery. Secondly, the M2M devices are large in number and wide in range, and are generally deployed in scenes with relatively severe conditions, so that batteries are difficult to replace. Therefore, how to reduce the energy consumption of the M2M device as much as possible is an important issue of the M2M communication system.
There are currently studies considering the problem of optimizing energy consumption by means of M2M communication. The documents Park I, Kim D, Har D, MAC interference Low Latency and Energy Efficiency in Hierarchical M2M Networks With Clustered Nodes [ J ]. IEEE Sensors Journal,2015,15(3): 1657-. In the documents of arm O, Ksentini a, tall t.group.paging-Based Energy Saving for Massive MTC access in LTE and Beyond Networks [ J ]. IEEE Journal on Selected Areas in Communications,2016,34(5): 1086:1102, a method for traffic dispersion is proposed, by grouping M2M devices, each group of devices Accesses a channel at different times, a high access rate of the channel can be achieved, and access delay and power consumption of the channel can be reduced.
In the existing research, the energy consumption of the M2M equipment is reduced mainly through the design of an MAC protocol and a random access mechanism, the problem of influence of user random access, network association and a power distribution strategy on the energy consumption of the equipment cannot be comprehensively considered, and the network performance optimization is difficult to realize.
Disclosure of Invention
In view of the above, the present invention provides a network association and power allocation algorithm for M2M communication system, in which if an M2M device is located in a converged coverage area of multiple networks, an association with the appropriate network can be selected; the joint energy consumption of the modeling equipment is an optimization target, and joint optimization distribution of the equipment selection network and the equipment sending power is realized.
In order to achieve the purpose, the invention provides the following technical scheme:
an M2M communication network association and power allocation algorithm, comprising the steps of,
step 1) modeling M2M network energy consumption;
step 2), modeling the access probability of the M2M equipment resource block;
step 3) modeling the transmission rate of the M2M equipment;
step 4) modeling M2M equipment network association and power distribution limiting conditions;
step 5) determining M2M device network association and power distribution strategies based on network energy consumption minimization.
Further, in the step 1), the energy consumption of the M2M network is the sum of the energy consumption of all M2M devices accessing the network,
Figure BDA0001392511060000021
where w is the sum of the energy consumptions of all M2M devices accessing the network, and wi，jThe energy consumption corresponding to the association of the ith M2M device and the jth network is M2M total number of devices in the network, N is M2M total number in the network, i is more than or equal to 1 and less than or equal to M, j is more than or equal to 1 and less than or equal to M, and xi，jFor M2M devices and networksX when the ith device is associated with the jth networki，j1, otherwise xi，j＝0；
Said wi，jThe following relationship is satisfied,
wi，j＝(pi，j+pcir)L0
wherein p isi，jIndicating the transmission power of the device when the ith device is associated with the jth network, pcirRepresents the power consumed by the circuit when the M2M device accesses the network, L0Indicating the duration of the transmission resource block.
Further, in step 2), the M2M device resource block access probability is
Figure BDA0001392511060000022
Wherein the content of the first and second substances,
Figure BDA0001392511060000023
is M2M device resource block access probability, fi，jFor the access control blocking factor u when the ith device is associated with the jth networki，jIs the probability of accessing a resource block, v, of the ith device in association with the jth networkjFor the number of M2M devices associated with the jth network, each network can only provide vjSubscriber access, i.e.
Figure BDA0001392511060000024
Assuming that the M2M devices are in the same network, the probability of selecting resource blocks is equal, i.e.
Figure BDA0001392511060000025
LjIs the total number of resource blocks in the jth network.
Further, in step 3), the transmission rate of the M2M device is obtained by shannon formula,
Figure BDA0001392511060000031
wherein R isi，jIndicating the transmission rate at which the ith device is associated with the jth network, BjDenotes the bandwidth of the jth network, hi，jIndicating the channel gain, σ, of the link between the ith device and the jth network base station2As noise power, pi，mDenotes the transmission power of the device when the ith device is associated with the mth network, hi，mRepresenting the channel gain of the link between the ith device and the mth network base station.
Further, in step 4), the M2M device network association and power allocation limitation condition satisfies the following condition:
i suppose that each M2M device can only select one network for access, i.e.
Figure BDA0001392511060000032
IIwhen the ith device is associated with the jth network, the device transmit power should be lower than its maximum transmission power, i.e.
Figure BDA0001392511060000033
Wherein the content of the first and second substances,
Figure BDA0001392511060000034
represents the maximum transmission power of the ith device;
III when the ith device is associated with the jth network, the requirement of minimum throughput of the device should be met, i.e.
Figure BDA0001392511060000035
Wherein the content of the first and second substances,
Figure BDA0001392511060000036
is the lowest transmission rate of the ith device.
Further, in step 5), the M2M device network association and power allocation strategy is determined based on network energy consumption minimization
Figure BDA0001392511060000037
The invention has the beneficial effects that: the method can effectively ensure that the equipment associated network is optimal and the equipment transmitting power is optimal under the condition that the M2M equipment is accessed to the heterogeneous network, thereby realizing the minimization of the energy consumption of the equipment.
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In order to make the object, technical scheme and beneficial effect of the invention more clear, the invention provides the following drawings for explanation:
FIG. 1 is a diagram of a heterogeneous network scenario;
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
According to the network association and power distribution algorithm of the M2M communication system, provided that a plurality of heterogeneous networks exist, the energy consumption of M2M equipment is modeled as the product of the transmission power of the equipment and the time length of a transmission resource block, and the network association and power distribution optimization strategy of the M2M equipment is determined based on the minimization of the network energy consumption.
Fig. 1 is a diagram of a heterogeneous network scenario in which an M2M device selects a network for communication, and device energy consumption is minimized by optimizing device-network association and power allocation.
Fig. 2 is a schematic flow chart of the method of the present invention, and as shown in the figure, the method of the present invention specifically includes the following steps:
1) modeling the energy consumption of the M2M network;
the modeled network energy consumption w is the sum of the energy consumptions of all M2M devices accessing the network, i.e. the energy consumption of all M2M devices accessing the network
Figure BDA0001392511060000041
Where w is the sum of the energy consumptions of all M2M devices accessing the network, and wi，jThe energy consumption corresponding to the association of the ith M2M device and the jth network is M2M total number of devices in the network, N is M2M total number in the network, i is more than or equal to 1 and less than or equal to M, j is more than or equal to 1 and less than or equal to M, and xi，jFor the association identification of M2M device with network, x when the ith device is associated with the jth networki，j1, otherwise xi，j＝0；
wi，jIs defined as
wi，j＝(pi，j+pcir)L0
Wherein p isi，jIndicating the transmission power of the device when the ith device is associated with the jth network, pcirRepresents the power consumed by the circuit when the M2M device accesses the network, L0Indicating the duration of the transmission resource block.
2) Modeling M2M equipment resource block access probability;
modeling M2M device resource block access probability as
Figure BDA0001392511060000042
Wherein the content of the first and second substances,
Figure BDA0001392511060000043
is M2M device resource block access probability, fi，jFor the access control blocking factor u when the ith device is associated with the jth networki，jIs the probability of accessing a resource block, v, of the ith device in association with the jth networkjFor the number of M2M devices associated with the jth network, each network can only provide vjSubscriber access, i.e.
Figure BDA0001392511060000044
Assuming that the M2M devices are in the same network, the probability of selecting resource blocks is equal, i.e.
Figure BDA0001392511060000045
LjIs the total number of resource blocks in the jth network.
3) Modeling the M2M device transmission rate;
the M2M device transmission rate is obtained from shannon's equation,
Figure BDA0001392511060000051
wherein R isi，jIndicating the transmission rate at which the ith device is associated with the jth network, BjDenotes the bandwidth of the jth network, hi，jIndicating the channel gain, σ, of the link between the ith device and the jth network base station2As noise power, pi，mDenotes the transmission power of the device when the ith device is associated with the mth network, hi，mRepresenting the channel gain of the link between the ith device and the mth network base station.
4) Modeling M2M device network association and power distribution limiting conditions;
i suppose that each M2M device can only select one network for access, i.e.
Figure BDA0001392511060000052
IIwhen the ith device is associated with the jth network, the device transmit power should be lower than its maximum transmission power, i.e.
Figure BDA0001392511060000053
Wherein the content of the first and second substances,
Figure BDA0001392511060000054
represents the maximum transmission power of the ith device;
III when the ith device is associated with the jth network, the requirement of minimum throughput of the device should be met, i.e.
Figure BDA0001392511060000055
Wherein the content of the first and second substances,
Figure BDA0001392511060000056
is the lowest transmission rate of the ith device.
5) The M2M device network association and power allocation policy is determined based on network energy consumption minimization.
Determining M2M device network association and power distribution strategy based on network energy consumption minimization
Figure BDA0001392511060000057
Finally, it is noted that the above-mentioned preferred embodiments illustrate rather than limit the invention, and that, although the invention has been described in detail with reference to the above-mentioned preferred embodiments, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the scope of the invention as defined by the appended claims.

Claims (1)

1. An M2M communication network association and power allocation method, characterized in that: the method comprises the following steps:
step 1), modeling M2M network energy consumption;
the energy consumption of the M2M network is the sum of the energy consumption of all M2M devices accessing the network, and the following relation is satisfied:
Figure FDA0002910063380000011
where w is the sum of the energy consumptions of all M2M devices accessing the network, and wi，jThe energy consumption corresponding to the association of the ith M2M device and the jth network is obtained, M is the total number of M2M devices in the network, and N is the M2M network in the networkI is more than or equal to 1 and less than or equal to M, j is more than or equal to 1 and less than or equal to M, xi，jFor the association identification of M2M device with network, x when the ith device is associated with the jth networki，j1, otherwise xi，j＝0；
Said wi，jThe following relationship is satisfied,
wi，j＝(pi，j+pcir)L0
wherein p isi，jIndicating the transmission power of the device when the ith device is associated with the jth network, pcirRepresents the power consumed by the circuit when the M2M device accesses the network, L0Indicating a duration of transmission of the resource block;
step 2), modeling M2M equipment resource block access probability;
the access probability of the M2M equipment resource block is
Figure FDA0002910063380000012
Wherein the content of the first and second substances,
Figure FDA0002910063380000013
is M2M device resource block access probability, fi，jFor the access control blocking factor u when the ith device is associated with the jth networki，jIs the probability of accessing a resource block, v, of the ith device in association with the jth networkjFor the number of M2M devices associated with the jth network, each network can only provide vjSubscriber access, i.e.
Figure FDA0002910063380000014
Assuming that the M2M devices are in the same network, the probability of selecting resource blocks is equal, i.e.
Figure FDA0002910063380000015
LjIs the total number of resource blocks in the jth network;
step 3), modeling the transmission rate of the M2M equipment;
the M2M device transmission rate is obtained from shannon's equation,
Figure FDA0002910063380000016
wherein R isi，jIndicating the transmission rate at which the ith device is associated with the jth network, BjDenotes the bandwidth of the jth network, hi，jIndicating the channel gain, σ, of the link between the ith device and the jth network base station2As noise power, pi，mDenotes the transmission power of the device when the ith device is associated with the mth network, hi，mRepresenting a channel gain of a link between the ith device and the mth network base station;
step 4), modeling M2M equipment network association and power distribution limiting conditions;
the M2M device network association and power distribution limiting condition satisfies the following conditions:
i assumes that each M2M device can only select one network for access, i.e.
Figure FDA0002910063380000021
II when the ith device is associated with the jth network, the device transmit power should be lower than its maximum transmission power, i.e. the device transmit power should be lower than its maximum transmission power
Figure FDA0002910063380000022
Wherein the content of the first and second substances,
Figure FDA0002910063380000023
represents the maximum transmission power of the ith device;
III when the ith device is associated with the jth network, the minimum throughput requirement of the device should be met, i.e.
Figure FDA0002910063380000024
Wherein the content of the first and second substances,
Figure FDA0002910063380000025
the lowest transmission rate of the ith device;
step 5), determining M2M equipment network association and power distribution strategies based on network energy consumption minimization;
the network energy consumption minimization-based M2M equipment network association and power distribution strategy is determined as
Figure FDA0002910063380000026
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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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US10136402B2 (en) * 2015-03-31 2018-11-20 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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