CN111787564B - Energy consumption evaluation and optimization method - Google Patents

Energy consumption evaluation and optimization method Download PDF

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Publication number
CN111787564B
CN111787564B CN202010584113.6A CN202010584113A CN111787564B CN 111787564 B CN111787564 B CN 111787564B CN 202010584113 A CN202010584113 A CN 202010584113A CN 111787564 B CN111787564 B CN 111787564B
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terminal
state
energy consumption
random access
access
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CN111787564A (en
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裴二荣
张茹
周礼能
王振民
朱冰冰
杨光财
荆玉琪
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China Mobile IoT Co Ltd
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Chongqing University of Post and Telecommunications
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W74/00Wireless channel access, e.g. scheduled or random access
    • H04W74/08Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
    • H04W74/0833Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure
    • H04W74/0841Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure with collision treatment
    • H04W74/085Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure with collision treatment collision avoidance
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W76/00Connection management
    • H04W76/20Manipulation of established connections
    • H04W76/28Discontinuous transmission [DTX]; Discontinuous reception [DRX]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention relates to an energy consumption evaluation and optimization method of an extended discontinuous reception mechanism (eDRX). Belonging to the field of narrowband Internet of things. The invention comprises the following steps: s1: when the terminal adopts an extended discontinuous reception mechanism (eDRX), establishing a Markov model taking the working state of the terminal as a state variable; s2: the terminal tries to randomly access the network when having data to transmit; s3: when the terminal fails in random access, the terminal executes a backoff process, and a backoff value is determined by the number of re-access times and an initial backoff value; s4: when the back-off value is the above-mentioned linear increase, verification is performed using the above-mentioned energy estimation model. The invention can effectively and comprehensively evaluate the energy consumption condition of the terminal, effectively reduce the energy consumption of the terminal, improve the energy utilization rate of the battery and finally prolong the service life of the terminal.

Description

Energy consumption evaluation and optimization method
Technical Field
The invention belongs to the field of narrowband Internet of things, and relates to an energy consumption evaluation and optimization method of an extended discontinuous reception mechanism (eDRX).
Background
Narrowband internet of things (NB-IOT) is targeted to enhance indoor coverage, support a large number of low throughput devices, low latency sensitivity, ultra-low cost, low power devices, and network architecture. To achieve the low delay sensitivity and low power consumption set by the device, the extension of saving power of the original DRX mechanism in LTE is adopted. The extended discontinuous reception mechanism (eDRX) has a longer paging cycle than the DRX mechanism. The eDRX mechanism specifies: in each eDRX period, the terminal can receive downlink data only in a set paging time window, and the terminal is in a dormant state in the rest time and does not receive the downlink data. Within each eDRX cycle, there is a paging time window PTW, within which the terminal always listens to the paging channel in order to receive downlink data. This mode can be considered to be readily reachable by the terminal device.
The random access process of the narrowband Internet of things is divided into four parts. The method comprises the steps of (1) preamble sequence transmission, (ii) random access response, (iii) MSG3 sending (RRC Connection Request), (iv) conflict resolution message. In short, it can be described that after sending the access preamble sequence, the UE monitors the PDCCH channel, and whether there is a RAR message replied by the base station, and if no RAR message is received within a specified time range or the preamble sequence index in the RAR message does not match itself, the access is considered to be failed. If the access fails but the maximum number of attempts has not been reached, the transmission of the preamble sequence is attempted again. However, the UE needs to defer for a certain period of time to perform the next preamble access, and the backoff time is designed to be a fixed value in the system.
Energy consumption can be theoretically saved by an extended discontinuous reception mechanism (eDRX) adopted by a narrowband Internet of things (NB-IOT), but at present, when the energy consumption condition of a narrowband Internet of things terminal is tested, an established model is not comprehensive enough, and the energy consumption condition of the terminal in data transmission can not be effectively and objectively estimated, so that the design of a model enables the energy consumption of the narrowband Internet of things terminal to be comprehensively estimated is very meaningful. Moreover, the existing algorithm for energy optimization based on the discontinuous reception mechanism is oriented to H2H and is not suitable for M2M, so it is very meaningful to design an energy optimization mechanism to optimize the terminal life of the narrowband internet of things.
Disclosure of Invention
In view of this, the present invention provides an energy consumption evaluation and optimization method for an extended discontinuous reception mechanism (eDRX), so as to solve the problems of more accurate energy consumption evaluation and excessive energy consumption based on narrow-band internet of things terminals during data transmission.
In order to achieve the purpose, the invention provides the following technical scheme:
an energy consumption evaluation and optimization method relating to an extended discontinuous reception mechanism (eDRX), comprising the steps of:
s1: when the terminal adopts an extended discontinuous reception mechanism (eDRX), establishing a Markov model taking the working state of the terminal as a state variable;
s2: the terminal tries to randomly access the network when having data to transmit;
s3: when the terminal fails in random access, the terminal executes a backoff process, and a backoff value is determined by the number of re-access times and an initial backoff value;
s4: when the back-off value is the above-mentioned linear increase, verification is performed using the above-mentioned energy estimation model.
Further, in step S1, when the terminal employs the extended discontinuous reception mechanism (eDRX), its operating state is divided into an idle state, a PSM state, and a connected state. The connection state is further divided into a data transmission state and a random access state in which (i,0) i belongs to [0, m ]]The ith attempt of the terminal equipment to access the network is shown, i, ki belongs to 0, m, k belongs to 0, and W i -1, representing the k backoff for the ith re-access. m represents the maximum number of re-accesses allowed, W i Representing the maximum time that a device can back off when encountering an access collision. The CR state indicates that the terminal performs secure connection confirmation. And the energy consumption analysis is carried out by a Markov model consisting of the states.
Further, in step S2, if the terminal detects that there is data to be transmitted, it enters a random access state and tries a first random access, which includes two procedures of accessing the network and confirming a secure connection.
Further, in step S3, when the device is in step S2, if no random access collision or security connection failure is encountered, the data transmission phase is normally entered, and if the access procedure is collided or the security connection is in error, the terminal enters the back-off procedure. The maximum back-off time value follows a linear process, i.e. W i =i*W min Wherein W is min And randomly selecting the minimum value which is in accordance with the narrowband Internet of things system when the terminal performs the first back-off.
Further, in step S4, after the terminal completes the linear back-off process and successfully accesses the network, the terminal estimates the power consumption according to the power consumption model proposed in step S1.
The invention has the beneficial effects that: compared with the existing energy evaluation model of the narrow-band Internet of things (NB-IOT) terminal during data transmission, the method provided by the invention has the advantages that the consideration is more comprehensive, and the specific process of random access is specifically analyzed, so that the comprehensive evaluation of the energy consumption condition is more facilitated. Optimization related parameters, namely, the back-off time is optimized to save energy consumption during energy optimization. Meanwhile, the back-off time is determined in a linear increasing mode, so that the influence of the back-off time value on the energy consumption of the terminal is reduced.
Drawings
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 schematic flow chart of an embodiment of the present invention;
FIG. 2 is a diagram of an extended discontinuous reception (eDRX) -based model for energy consumption evaluation and optimization;
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The invention provides an energy consumption evaluation and optimization method relating to an extended discontinuous reception mechanism (eDRX) aiming at the problem of energy consumption required by a narrow-band Internet of things terminal in data transmission. Compared with the existing energy evaluation model, the model provided at this time can relatively comprehensively evaluate the energy consumption condition of the equipment. An extended discontinuous reception mechanism (eDRX) based energy consumption assessment and optimization model is shown in fig. 2.
The invention relates to a method for evaluating and optimizing energy consumption of an extended discontinuous reception mechanism (eDRX), which is shown as a process in figure 1.
As shown in fig. 1, a method for energy consumption evaluation and optimization related to extended discontinuous reception (eDRX) mechanism includes the following steps:
s1: when the terminal adopts an extended discontinuous reception mechanism (eDRX), establishing a Markov model taking the working state of the terminal as a state variable;
s2: the terminal tries to randomly access the network when having data to transmit;
s3: when the terminal fails in random access, the terminal executes a backoff process, and a backoff value is determined by the number of re-access times and an initial backoff value;
s4: when the back-off value is the above-mentioned linear increase, verification is performed using the above-mentioned energy estimation model.
When the terminal employs an extended discontinuous reception mechanism (eDRX), its operating state is divided into an idle state, a PSM state, and a connected state. The connection state is further divided into a data transmission state and a random access state in which (i,0) i belongs to [0, m ]]The ith attempt of the terminal equipment to access the network is shown, i, ki belongs to 0, m, k belongs to 0, and W i -1, representing the k backoff for the ith re-access. m represents the maximum number of re-accesses allowed, W i Representing the maximum time that a device can back off when encountering an access collision. And the CR state represents that the terminal performs safe connection confirmation, and a Markov model consisting of the states is used for performing energy consumption analysis. The concrete model is shown in fig. 2.
If the terminal detects that data needs to be transmitted, the terminal enters a random access state and tries a first random access, and the process comprises two processes of network access and safe connection confirmation.
When the device is in step S2, if no random access collision or security connection failure is encountered, the data transmission phase is normally entered, and if the access process has collision or security connection error, the terminal enters the backoff process. The maximum back-off time value follows a linear process, i.e. W i =i*W min Wherein W is min And randomly selecting the minimum value which is in accordance with the narrowband Internet of things system when the terminal performs the first back-off.
After the terminal completes the linear back-off process and successfully accesses the network, the terminal estimates the energy consumption at this time according to the energy consumption model proposed in step S1.
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 energy consumption evaluation and optimization method based on an extended discontinuous reception mechanism (eDRX), which is characterized in that: the specific steps of an NB-IoT terminal for effectively optimizing and evaluating the energy consumption of the NB-IoT terminal during data transmission are as follows:
s1: when the terminal adopts eDRX, establishing a Markov model taking the working state of the terminal as a state variable: the working states of the system are IDLE state IDLE, PSM state and connection state Connect, and the connection state is divided into data transmission state TX and random access state RA; in the random access state, (i,0) i ∈ [0, m ∈ >]Represents the ith attempt of the device to access the network, (i, k) i ∈ [0, m],k∈[0,W i -1]Denotes a k-th backoff of the ith re-access, m denotes a maximum number of re-accesses allowed, W i Representing the maximum time that the device can back off when encountering an access collision; cr (i) status indicates that the terminal performs secure connection confirmation; p c Indicating the probability of random access collision, P e Indicating the probability of error in the secure connection, P tx Indicating the possibility of data transmission at the time of Ti expiration, P i Representing the probability of each data transmission failure;
s2: attempting random access to the network when the terminal has data to transmit: if the terminal detects that data is required to be transmitted, the terminal enters a random access state and tries a first random access, and the process comprises two processes of network access and safe connection confirmation;
s3: when the terminal fails in random access, the terminal executes a backoff process, and a backoff value is determined by the number of re-accesses and an initial backoff value: when the device is in step S2, if no random access collision or security connection failure is encountered, the device normally enters a data transmission phase, and if the access process has collision or security connection error, the terminal enters a backoff process; the maximum back-off time value follows a linear process, i.e. W i =i*W min Wherein W is min Randomly selecting a minimum value which is in accordance with the narrow-band Internet of things system when the terminal is retreated for the first time;
s4: after the terminal completes the linear back-off process and successfully accesses the network, the terminal estimates the energy consumption at this time according to the energy consumption model proposed in step S1.
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