WO2018227867A1 - Procédé de réduction de puissance différentielle basée sur la classification d'utilisateurs dans l'internet des objets de grande connexion 5g - Google Patents

Procédé de réduction de puissance différentielle basée sur la classification d'utilisateurs dans l'internet des objets de grande connexion 5g Download PDF

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Publication number
WO2018227867A1
WO2018227867A1 PCT/CN2017/110631 CN2017110631W WO2018227867A1 WO 2018227867 A1 WO2018227867 A1 WO 2018227867A1 CN 2017110631 W CN2017110631 W CN 2017110631W WO 2018227867 A1 WO2018227867 A1 WO 2018227867A1
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Prior art keywords
user terminal
coverage type
backoff
coverage
user
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PCT/CN2017/110631
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English (en)
Chinese (zh)
Inventor
孙黎
熊新雷
任品毅
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西安交通大学
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Publication of WO2018227867A1 publication Critical patent/WO2018227867A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access
    • H04W74/08—Non-scheduled access, e.g. ALOHA
    • H04W74/0833—Random access procedures, e.g. with 4-step access
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access
    • H04W74/08—Non-scheduled access, e.g. ALOHA
    • H04W74/0833—Random access procedures, e.g. with 4-step access
    • H04W74/0841—Random access procedures, e.g. with 4-step access with collision treatment
    • H04W74/085—Random access procedures, e.g. with 4-step access with collision treatment collision avoidance
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/16—Discovering, processing access restriction or access information

Definitions

  • the invention belongs to the field of 5G large-connected Internet of Things communication technology, and particularly relates to a differentiated backoff method based on user classification in a 5G large connected Internet of Things.
  • the Narrow Band-Internet of Things is defined as a communication system that enables data transmission between devices without human intervention. It is estimated that by 2020, there will be tens of billions of IoT devices deployed and running. With the deployment of 4G LTE networks and the acceleration of 5G network deployment, IoT devices will provide better services in many fields.
  • the service characteristics of the IoT network are quite different from those of the traditional cellular broadband service.
  • the IoT is characterized by low cost, low complexity, extended coverage and low power consumption. This is because the IoT network needs to deploy massive IoT devices.
  • the services of these devices have low latency requirements and low frequency data transmission times. They are insensitive to delays, rates, etc., and have high requirements on cost and complexity. .
  • the 5G large connection IoT network and equipment are less complex, so the data storage and processing capabilities of the device are weak, and the protocol stack and air interface of the network need to be redesigned.
  • 3GPP has set a corresponding goal for the IoT network.
  • the indoor coverage capability is increased by 20dB, supporting a rate of at least 160kbps; supporting large-scale low-throughput devices, with a minimum deployment of 52,547 users; Energy efficiency, 5Wh battery life exceeds 10 years and 99% of IoT device upload data delay is less than or equal to 10s.
  • the backoff mechanism In order to reduce the probability of access failure and avoid congestion, the backoff mechanism must be optimized to increase system capacity and reduce the probability of system access failure.
  • the object of the present invention is to overcome the above disadvantages of the prior art, and to provide a differentiated backoff method based on user classification in a 5G large-connected Internet of Things, which can effectively increase the capacity of the system and reduce the failure probability of system access.
  • the differentiated backoff method based on user classification in the 5G large connected Internet of things includes the following steps:
  • the base station obtains channel fading information of the user terminal according to the information sent by the user terminal, and the base station divides several types of coverage, and then determines the coverage type to which the user terminal belongs according to the channel fading information of the user terminal;
  • the base station sends the coverage type to which the user terminal belongs to the user terminal through the downlink control channel;
  • the user terminal initiates a random access request by means of a random access channel.
  • the user terminal selects a corresponding backoff function according to the coverage type to which the user terminal belongs, and generates a backoff time. After the user terminal passes the back-off time, the user terminal re-initiates the random access request.
  • the user terminal accesses the 5G large-connected Internet of Things (IoT) system, the user-defined differentiated backoff in the 5G large-connected Internet of Things is completed; when the user does not pick up When entering the 5G large connection IoT system, go to step 4);
  • step 3 When the number of times the user terminal initiates the random access request is less than the preset maximum number of backoffs, the process goes to step 3); when the number of times the user terminal initiates the random access request is greater than or equal to the preset maximum number of backoffs, the user terminal is No random access request is initiated during the current service period, waiting In the next business cycle, go to step 3).
  • the base station sequentially divides the coverage type class1, the coverage type class, the coverage type class3, and the coverage type class4.
  • the signal-to-noise ratio corresponding to the coverage type class1 is less than 130.8209dB; the signal-to-noise ratio corresponding to the coverage type class2 is greater than or equal to 130.8209dB and less than 142.6809dB; the signal-to-noise ratio corresponding to the coverage type class3 is greater than or equal to 142.6809dB and less than 151.7609dB; the coverage type class4 corresponds to The signal to noise ratio is greater than or equal to 151.7609dB.
  • the user terminal that belongs to the coverage type class1 directly retreats to the next scheduling unit; the user terminal that belongs to the coverage type class2 performs linear regression; the user terminal that belongs to the coverage type class3 performs exponential power backoff; and the user terminal that belongs to the coverage type class4 performs exponential power
  • the backoff granularity of the user terminal of the coverage type class1, the user terminal of the coverage type class2, the user terminal of the coverage type class3, and the user terminal of the coverage type class4 are all one scheduling unit.
  • the differentiated backoff method based on the user classification in the 5G large-connected Internet of Things sequentially divides several coverage types, and determines the coverage type of the user terminal according to the channel fading information of the user terminal, in the calculation
  • the corresponding backoff function is selected according to the coverage type of the user terminal to generate the backoff time, so that the backed up user terminals are dispersed to prevent all the user terminals that need to be backed off from being evacuated to the same time frame, thereby causing access congestion and improving the system.
  • Access capacity reduces the probability of system access failure.
  • 1 is a CDF curve of channel fading of a user terminal in a 5G large connected Internet of Things system
  • FIG. 2 is a diagram showing changes in the number of user terminals in a random access system in each time frame
  • FIG. 3 is a graph comparing the failure probability of access with a differentiated backoff function and a linear backoff function.
  • the differentiated backoff method based on user classification in the 5G large connected Internet of things includes the following steps:
  • the base station obtains channel fading information of the user terminal according to the information sent by the user terminal, and the base station divides several types of coverage, and then determines the coverage type to which the user terminal belongs according to the channel fading information of the user terminal;
  • the base station sends the coverage type to which the user terminal belongs to the user terminal through the downlink control channel;
  • the user terminal initiates a random access request by means of a random access channel.
  • the user terminal selects a corresponding backoff function according to the coverage type to which the user terminal belongs, and generates a backoff time. After the user terminal passes the back-off time, the user terminal re-initiates the random access request.
  • the user terminal accesses the 5G large-connected Internet of Things (IoT) system, the user-defined differentiated backoff in the 5G large-connected Internet of Things is completed; when the user does not pick up When entering the 5G large connection IoT system, go to step 4);
  • step 3 When the number of times the user terminal initiates the random access request is less than the preset maximum number of backoffs, the process goes to step 3); when the number of times the user terminal initiates the random access request is greater than or equal to the preset maximum number of backoffs, the user terminal is The random access request is not initiated in the current service period. When waiting for the next service period, go to step 3).
  • the base station sequentially divides the coverage type class1, the coverage type class, the coverage type class3, and the coverage type class4.
  • the signal-to-noise ratio corresponding to the coverage type class1 is less than 130.8209dB; the signal-to-noise ratio corresponding to the coverage type class2 is greater than or equal to 130.8209dB and less than 142.6809dB; the signal-to-noise ratio corresponding to the coverage type class3 is greater than or equal to 142.6809dB and less than 151.7609dB; the coverage type class4 corresponds to The signal to noise ratio is greater than or equal to 151.7609dB.
  • the user terminal that belongs to the coverage type class1 directly retreats to the next scheduling unit; the user terminal that belongs to the coverage type class2 performs linear regression; the user terminal that belongs to the coverage type class3 performs exponential power backoff; and the user terminal that belongs to the coverage type class4 performs exponential power
  • the backoff granularity of the user terminal of the coverage type class1, the user terminal of the coverage type class2, the user terminal of the coverage type class3, and the user terminal of the coverage type class4 are all one scheduling unit.
  • the backoff time is generated by the backoff function, and the user terminal waits for the backoff time to re-initiate the random access request.
  • the user terminal still fails to access, the user terminal continues to retreat for a period of time, and then re-initiates the random access.
  • the request is entered until the user terminal reaches the maximum number of retreats. Since the user terminals have different coverage levels, the design of the backoff function should also be differentiated to reflect the differences between different user terminals, and to prevent all user terminals from retreating to the same time frame. congestion.
  • the core idea of the present invention is to design a backoff function by using the differentiation of the classified user terminals.
  • the user terminal is divided into coverage according to the channel fading condition, and the better the channel quality, the higher the priority of the user terminal, and the shorter the time for the user terminal to retreat each time, the coverage of the coverage
  • the user terminal can re-initiate the random access request earlier.
  • the time for retreating each time the user terminal fails to access is different, so that the user terminal that needs to be retired is congested in the same time frame, and the user terminal reaches the maximum backoff. The number of times can no longer initiate random access requests, thereby reducing system capacity.
  • the reference value of GSM is 144dB, so the coverage of 5G large IoT system should reach 164dB; 4 coverage classes are set in 3GPP TR 45.820, and multiple coverage classes can be set to enable better transmission of devices with good channel quality. Performance, while increasing the capacity of the network; the information transmitted in the PDCCH is in one-to-one correspondence with the coverage class, and the different coverage class information is different from the resources of the PDCCH.
  • the present invention simulates and counts the PLs of all devices in the network. As can be seen from FIG. 1, the PL of most devices is concentrated below 144 dB, which is completely consistent with GSM, and some of them are More than 144dB, even more than 180dB.
  • the present invention designs different backoff functions according to different coverage classes of user terminals, and user terminals with good channel conditions can re-initiate random access requests at an earlier time, and at the same time, user terminals with different coverage areas.
  • the retreat function is different, so the time of retreating each time the user terminal fails to access is different, and the user terminal that needs to be retired is congested in the same time frame, so that the user terminal reaches the maximum number of retreats and cannot initiate random access. Requests, thereby reducing system capacity, increasing system capacity while reducing system access failure probability.
  • the 5G large connection Internet of Things system receives the user terminals of all coverage classes. According to different coverage classes, design the backoff mode and resource allocation mode to improve the capacity and coverage performance of the whole system.
  • partitioning the coverage class follow the methods of various services in 3GPP 45.820, that is, according to 40%, 40%, 15%, The 5% ratio is divided into coverage, and the coverage of the coverage class is shown in Table 1.
  • the number of accesses in each subframe is random, that is, in some subframes, multiple user terminals initiate random access requests, and in some subframes, even no user terminal initiates random access. Request, so if all user terminals that fail to access are backed up in the same subframe, this may result in a large number of user terminals in the target subframe simultaneously initiating random access requests, causing system congestion and network access failure. A sharp increase in probability.
  • the differentiated backoff function when used, the probability of user terminal access failure is much lower. This is because when the differentiated backoff function is used, multiple user terminals are prevented from retreating to the same time frame to cause congestion.
  • the differentiated backoff function can make the user terminals spread on the time axis, avoiding congestion so that the base station can reasonably allocate channel resources. Therefore, using the differentiated backoff function can effectively reduce the probability of failure of the system.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé de réduction de puissance différentielle basée sur la classification d'utilisateurs, dans l'Internet des objets de grande connexion 5G, qui comprend les étapes suivantes: 1) la détermination du type de couverture auquel appartient un terminal utilisateur en fonction d'informations d'atténuation de canal du terminal utilisateur; 2) l'envoi par une station de base, au terminal utilisateur, du type de couverture auquel appartient le terminal utilisateur au moyen d'un canal de commande de liaison descendante; 3) l'initiation par le terminal utilisateur d'une demande d'accès aléatoire, la génération par le terminal utilisateur d'un temps d'attente si le terminal utilisateur ne parvient pas à avoir accès, et la réinitiation par le terminal utilisateur d'une demande d'accès aléatoire après l'expiration du temps d'attente, la réduction de puissance différentielle basée sur la classification d'utilisateurs dans l'Internet des objets de grande connexion 5G étant achevée lorsque le terminal utilisateur a eu accès; ou à procéder à l'étape 4); 4) lorsque le nombre de demandes d'accès aléatoire initiées par le terminal utilisateur est inférieur à un nombre d'attente maximal prédéfini, à procéder à l'étape 3); ou, à attendre la prochaine période de service pour procéder à l'étape 3). Le procédé permet d'améliorer efficacement la capacité du système, et de réduire la probabilité d'échec d'accès au système.
PCT/CN2017/110631 2017-06-12 2017-11-13 Procédé de réduction de puissance différentielle basée sur la classification d'utilisateurs dans l'internet des objets de grande connexion 5g WO2018227867A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114175714A (zh) * 2019-07-31 2022-03-11 高通股份有限公司 管理无线设备与基站的通信以从基站获得系统信息同时减少拥塞

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107343323B (zh) * 2017-06-12 2020-10-27 西安交通大学 一种5g大连接物联网中基于用户分类的差异化退避方法
CN107820321B (zh) * 2017-10-31 2020-01-10 北京邮电大学 一种基于蜂窝网络的窄带物联网中大规模用户智能接入方法
CN107820323B (zh) * 2017-11-21 2020-05-22 西安交通大学 一种窄带物联网中基于设备优先级的接入退避控制方法
CN110572844B (zh) * 2018-06-06 2023-01-24 成都鼎桥通信技术有限公司 随机接入方法、装置及终端
CN112769707B (zh) * 2019-11-04 2022-11-04 成都鼎桥通信技术有限公司 一种在物联网中防止拥塞的方法、装置及系统
CN114599081A (zh) * 2022-05-07 2022-06-07 武汉慧联无限科技有限公司 重入网方法、装置、设备及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106358314A (zh) * 2016-09-28 2017-01-25 北京大学深圳研究生院 一种城域蜂窝物联网无线节点的信道竞争控制方法与系统
CN106533515A (zh) * 2016-10-14 2017-03-22 上海华为技术有限公司 一种天线回退方法及基站
WO2017055302A1 (fr) * 2015-09-28 2017-04-06 Telefonaktiebolaget Lm Ericsson (Publ) Préambule d'accès aléatoire pour minimiser le décalage de pa
CN107343323A (zh) * 2017-06-12 2017-11-10 西安交通大学 一种5g大连接物联网中基于用户分类的差异化退避方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017055302A1 (fr) * 2015-09-28 2017-04-06 Telefonaktiebolaget Lm Ericsson (Publ) Préambule d'accès aléatoire pour minimiser le décalage de pa
CN106358314A (zh) * 2016-09-28 2017-01-25 北京大学深圳研究生院 一种城域蜂窝物联网无线节点的信道竞争控制方法与系统
CN106533515A (zh) * 2016-10-14 2017-03-22 上海华为技术有限公司 一种天线回退方法及基站
CN107343323A (zh) * 2017-06-12 2017-11-10 西安交通大学 一种5g大连接物联网中基于用户分类的差异化退避方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
RAHAMAN ET AL.: "Performance Measurement of Different Backoff Algorithms in IEEE 802.15.4", IEEE 802.15.4, 28 October 2016 (2016-10-28) - 29 October 2016 (2016-10-29), Daka, Bangladesh, XP055642009, Retrieved from the Internet <URL:https://ieeexplore.ieee.org/ielx7/7845533/7856474/07856520.pdf?tp=&arnumber=7856520&isnumber=7856474&ref=aHR0cHM6Ly9pZWVleHBsb3JlLmllZWUub3JnL2Fic3RyYWN0L2RvY3VtZW50Lzc4NTY1MjA=> DOI: 10.1109/ICISET.2016.7856520 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114175714A (zh) * 2019-07-31 2022-03-11 高通股份有限公司 管理无线设备与基站的通信以从基站获得系统信息同时减少拥塞

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