CN108600310A - A kind of mist counting system framework under environment of internet of things - Google Patents
A kind of mist counting system framework under environment of internet of things Download PDFInfo
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- CN108600310A CN108600310A CN201810233063.XA CN201810233063A CN108600310A CN 108600310 A CN108600310 A CN 108600310A CN 201810233063 A CN201810233063 A CN 201810233063A CN 108600310 A CN108600310 A CN 108600310A
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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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
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- 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]
Abstract
The invention discloses a kind of mist counting system frameworks based under environment of internet of things, this programme makes full use of native radio signal processing capacity, merge the distributed storage ability in provided for radio resources management and edge device, and pass through suitable transmission mode selection, constitute mist counting system framework, to achieve the effect that reduce front-end load, to obtain higher power system capacity and processing speed.It is embodied in and has calculated defined in Radio Access Network four kinds of clouds in mist：Cloud, centralized control cloud are communicated and stored in global set, and distributed logic communication cloud and distributed logic store cloud, are each responsible for communicating, store, control and signal processing.In user equipment access mist counting system Internet of Things, four kinds of transmission modes are selected according to the movement speed of user equipment, communication distance, position, service quality (QoS) requirement, processing and cache capability：D2D and repeater mode, Local-distributed coodination modes, global C RAN patterns and HPN patterns, to reach acquisition higher efficiency.
Description
Technical field
It mists counting system framework the present invention relates to a kind of environment of internet of things, is mainly used in the 5th Generation Mobile Communication System
(5G), belongs to Internet of Things and field of cloud calculation.
Background technology
Compared with forth generation wireless communication system (4G), the power system capacity of the 5th generation wireless communication system (5G) is near to reduce
It is 1000 times long, and energy transmission efficiency at least increases by 10 times.In order to realize that these targets, cloud computing architectural framework must divide
A large amount of data are focused in cloth base station, this requires this architectural frameworks to possess the mutual of high broadband and low latency
Join the two prerequisites of front end.However existing front end delivery is often capacity and time delay constrains, and is imitated in frequency spectrum
Performance in rate and energy efficiency is far away from needed for standard.As location-based social networking application becomes to become more and more popular, front end
Business datum is increased sharply, and a large amount of redundancy is produced；Simultaneously in order to meet the requirement of peaking capacity, operator needs to dispose big
The base station of amount causes serious waste when business delivery quantity is not big enough to meet the requirement of peaking capacity.
Invention content
In order to solve challenge in the prior art, the purpose of the present invention is introducing the concept of mist counting system framework, pass through
The processing in edge device and storage capacity are made full use of, to mitigate the burden of front end and distributed base station.
Mist is calculated expands to network edge by traditional cloud computing mode, in network convenient for providing the storage largely having,
Communication controls, configuration, measures and the equipment of management is to reach transmission demand, rather than utilize centralized cloud storage and establish and believe
Road reaches demand.It being calculated based on mist, cooperation radio signal processing can not only execute in cloud computing center server, and
And it can be in trust at distributed base station and smart machine.This real-time collaboration radio signal processing and flexible association
With wireless resource management so that mist counting system framework can adapt to undertake the quick and scalable front end under radio environment
Burden.In addition, mist calculating can pass through device-to-device (D2D), wireless relay, distributed coordination and extensive concentration cooperation
Between adaptive technique realize the target of customer-centric.
Technical solution is as follows：
" four kinds of cloud+application layers " formula of mist counting system framework under environment of internet of things is laid out and four kinds of transmission modes,
I.e. in global set communicate and store cloud, centralized control cloud, distributed logic communication cloud, distributed logic store cloud and
Internet of things application layer；
D2D repeater modes, Local-distributed coodination modes, global cloud transmission mode and HPN patterns；
The distributed logic communication cloud is made of multiple distributed base stations, by cooperating between multiple distributed base stations
Processing reaches the overload of release leading portion link, mitigates the effect being lined up with transmission latency；
Distributed logic storage cloud is made of the controlled users equipment in access mist counting system framework；Centralized control cloud position
In Internet of Things monitoring node, and cloud cloud computing central server is communicated and stored in global set and is constituted；
Distributed logic communication cloud is not only integrated with preceding radio frequency, but also is integrated at local distributed collaboration radio signal
Reason and cooperative radio resource management technical functionality, and distributed logic storage cloud is responsible for being locally stored in edge device and height
Speed caching；Centralized control cloud is used to serve as the effect of control platform, is responsible for downward stratus and assigns control signaling；
The varieties of clouds are communicated and stored in global set is similar to the cloud computing center server in traditional cloud computing, responsible and user
Equipment and distributed base station transmission and interaction data take on centrally stored and concentration communication function；
The data received according to demand, are selectively provided to internet of things application layer by final cloud computing center server
In user；
Further include：
Terminating layer, network access layer, cloud computing layer and mist computation layer；The mist meter that mist computation layer is evolved by distributed base station
Access point is calculated, what the smart machine in terminating layer and network access layer was formulated；In terminating layer, equipment is direct in D2D patterns
It is communicated with neighbouring device, the mist without being evolved by distributed base station calculates the help of access point, if two potential
The communication distance of the equipment of pairing is more than D2D distance thresholds, then will trigger the repeater mode based on third party device, with for this two
A equipment provides communication；
In network access layer, there are two kinds of edge communications entities：Internet of Things monitoring node and mist calculate access
Point.Internet of Things monitoring node provides for the equipment of high-speed mobile with basic bit-rates for transmitting whole control signaling
Seamless coverage；Cloud computing layer is software definition, and centralization calculates and the attribute of caching；
All signal processing units work together in large-scale physics Base Band Unit pond, the letter calculated with shared entire mist
It enables, business datum and channel state information；
It accesses to controlled users apparatus self-adaptation mist to calculate in unlimited network, and according to the movement speed of user equipment,
Communication distance, position, quality of service requirement handle and select four kinds of transmission modes with cache capability：D2D repeater modes,
Local-distributed coodination modes, global cloud transmission mode and HPN patterns.
In D2D repeater modes, two user equipmenies by D2D or the wireless relaying technique based on smart machine each other into
Row communication；Local distributed coordination pattern means that controlled users equipment accesses in adjacent distributed base station, and communicates
This terminates, and only uploads transmission result feedback；Global cloud transmission mode means all local distributed collaboration radio signals
Processing and cooperative radio resource management technical functionality concentrate realization in distributed base station, have high movement speed or in distribution
Controlled users equipment in the covering cavity of logic communication cloud must access the Internet of Things monitoring node indicated by HPN patterns.
Advantageous effect：The present invention devises the mist counting system framework under a kind of environment of internet of things, and core concept is to fill
Divide and handled using native radio signal, merges the distributed storage ability in provided for radio resources management and edge device, to reach
Meet the 5th generation wireless communication system to the heavy load for reducing front end to obtain higher power system capacity and processing speed
The demand of (5G).From the perspective of mobile application, if transmission be happened at local or identical content be stored in it is adjacent
In distributed base station, then user equipment is not necessarily connected to cloud computing center server Base Band Unit to download.Meanwhile mist calculating will
Traditional cloud computing mode expands to network edge, and cooperation radio signal processing not only can be in cloud computing center server
It executes, and can be in trust at distributed base station and smart machine.In addition, mist calculating can pass through device-to-device
(D2D), wireless relay, distributed coordination and extensive concentrates the adaptive technique between cooperation to realize customer-centric
Target, the final needs for adapting to mobile transmission development.
Description of the drawings
Fig. 1 is the system architecture diagram of the mist counting system framework under a kind of environment of internet of things of the present invention；
Fig. 2 is the model selection pseudocode of the mist counting system framework under a kind of environment of internet of things of the present invention.
Specific implementation mode
The present invention is described in further detail below in conjunction with the drawings and specific embodiments.
The F-RAN of proposal makes full use of cloud computing, the fusion that heterogeneous network and mist calculate.Define four kinds of clouds：Global set
Middle communication and storage cloud, centralized control cloud, distributed logic communication cloud and distributed logic store cloud.Distributed logic communication cloud
It is not only integrated with preceding radio frequency, but also is integrated with local distributed collaboration radio signal processing and cooperative radio resource management technology
Function, and distributed logic storage cloud is responsible for being locally stored in edge device and cache.Centralized control cloud is for filling
When the effect of control platform, it is responsible for downward stratus and assigns control signaling.The varieties of clouds are communicated and stored in global set is similar to traditional cloud
Cloud computing center server in calculating, responsible and user equipment and distributed base station transmission and interaction data, take on concentration and deposit
Storage and concentration communication function.
The system model for realizing mist counting system framework proposed as shown in Figure 1.It includes terminating layer, net
Network access layer, cloud computing layer and mist computation layer.
Mist computation layer is to calculate access point, the intelligence in terminating layer and network access layer by the mist that distributed base station is evolved into
What equipment was formulated.
In terminating layer, adjacent controlled users equipment can pass through D2D patterns or the relaying mould based on distributed base station
Formula is in communication with each other.For example, equipment 3 and equipment 1 can communicate with one another with the help of equipment 2, wherein equipment 2 is considered
Mobile relay.If there is some data to be directly transmitted between equipment 1 and equipment 2, then D2D patterns are used.
The mist that network access layer is evolved by distributed base station calculates access point and Internet of Things monitoring is examined and formed.It is all logical
News equipment access Internet of Things monitoring node serves as control platform to obtain with the relevant all signalings of system information, these signalings
Function.In addition, the mist being evolved by distributed base station calculates the data that access point is used to forward and handle reception.Mist calculates access
Point is by front end link and the cloud computing center server Base Band Unit interface in cloud computing layer, and mist calculates access point by returning
Journey link accesses cloud computing center server Base Band Unit, and the signal of front-end chain road is sent to quilt in cloud computing server
Extensive processing.Because largely the processing of collaboration radio signal and cooperative radio resource management function are transferred to by distribution
The burden pond of the mist calculating access point and smart machine that base station is evolved into, front end and cloud computing center server Base Band Unit subtracts
Gently.In addition, some packet services can be assigned to edge and set by the limited cache memory in Internet of Things monitoring point and smart machine
In standby, rather than in the total centralization caching of cloud computing center server.
It is calculated to introduce atomization in edge device, traditional RRH is by being equipped with certain caching, CRSP and CRRM energy
Power is evolved into the access point calculated based on mist.The mist being evolved by distributed base station calculates access point and is mainly used for as access
The local collaboration radio signal processing of equipment processing and cooperative radio resource management, the equipment to be run with D2D transmission modes carry
The Information Compression received is forwarded to cloud computing center server base band list for AF panel and frequency spectrum share, and by front end
Member.Mist calculates access point and is not only integrated with preceding radio frequency, but also is integrated with local distributed collaboration radio signal processing and simple
Cooperative radio resource management function.By collaborative process between calculating access point in multiple adjacent mists, to discharge front end
The overload of link, while queuing and transmission latency can be mitigated.When the processing of all collaboration radio signals and cooperate with wireless
When resource management function is moved to cloud computing center server Base Band Unit, it is traditional distribution that mist, which calculates access point, which degenerates,
Base station.
When business load is low, the mist calculating access point that some idle distributed base stations are evolved into falls into sleep pattern.
When business load becomes huge in a special area, mist calculates access point and Internet of Things monitoring point becomes active to carry Gao Rong
The transmission communication business of amount, and D2D or repeater mode can be further triggered to meet huge capacity requirement.
The above three constitutes mist computation layer by cooperating with each other.The mist counting system under a kind of environment of internet of things is described below
Rest part in the layer architecture of framework.
In terminating layer, equipment can directly be communicated with neighbouring device in D2D patterns, without by distributed base
The mist that station is evolved into calculates the help of access point, the whole control of equipment delivering that wherein Internet of Things monitoring node is used to match to D2D
Signaling processed.By calculating the identical radio resource of equipment administration that access point is connect with mist, D2D patterns are particularly conducive to full
The demand of sufficient high rate data transmission data, and total throughout can also be improved.However, D2D patterns are calculated by communication distance and mist
The ability of access point seriously restricts, and cannot provide the traditional equipment service for not supporting D2D patterns.If two potential pairings
The communication distance of equipment be more than D2D distance thresholds, then the repeater mode based on third party device will be triggered, to be set for the two
It is standby that communication is provided.
In network access layer, there are two kinds of edge communications entities：Internet of Things monitoring node and mist calculate access
Point.Internet of Things monitoring node is mainly used for transmitting whole control signaling, and is provided with basic bit for the equipment of high-speed mobile
The seamless coverage of rate.Internet of Things monitoring node with extensive multiple-input and multiple-output (MIMO) is to ensure mist counting system framework
With the key of the backward compatibility of existing wireless system.The whole control channel expense and the specific ginseng of cell of mist counting system framework
It examines signal to be delivered by Internet of Things monitoring node, therefore mist calculating can reduce unnecessary switching and mitigate synchronous constraint.If
The processing of collaboration radio signal and cooperative radio resource management function terminate in mist calculates access point, then they have cell base
The identical function stood, wherein sending and receiving the distributed interference coordination of (CoMP) using similar to coordinating multiple points come in inhibition layer
And interlayer interference.
Cloud computing layer is software definition, it is characterised in that centralization calculates and the attribute of caching.All signal processing lists
Member works together in large-scale physics Base Band Unit pond, with the signaling that shared entire mist calculates, business datum and channel status
Information.When the network load grows, operator only needs to upgrade Base Band Unit pond to adapt to increased capacity.
As shown in Figure 2.This programme proposes a kind of adaptive model selection, makes full use of these four patterns.
Under a kind of environment of internet of things mist is accessed without the controlled users apparatus self-adaptation in counting system framework
It calculates in unlimited network, and according to the movement speed of user equipment, communication distance, position, quality of service requirement, processing and height
Fast caching capabilities select four kinds of transmission modes：D2D repeater modes, Local-distributed coodination modes, global cloud transmission mode and
HPN patterns.
In D2D and repeater mode, two equipment via D2D or the wireless relaying technique based on third party device each other into
Row communication.Local distributed coordination pattern means that equipment accesses adjacent distributed base station, and communicates and terminate herein.It is global
Cloud transmission mode means that all local distributed collaboration radio signal processing and cooperative radio resource management technical functionality exist
It concentrates and realizes in distributed base station, the controlled users with high movement speed or in the covering cavity of distributed logic communication cloud
Equipment must access the Internet of Things monitoring node indicated by HPN patterns.
Other than all devices periodically listen for transmitted control signaling, under the supervision of Internet of Things monitoring node
Optimum transmission mode is selected by the equipment accessed.In order to determine the optimal transmission pattern of each equipment, first according to from Internet of Things
The pilot channel of net monitoring node estimates the movement speed of equipment and at a distance from remaining distinct device.If equipment is in high speed
Mobile status needs to provide real-time speech communicating service, then triggers HPN patterns with high priority.If two communicated with one another
There is equipment slower relative moving speed and their distance to be not more than threshold value D1, then triggers D2D patterns.Otherwise, if
Their distance is more than D1 but is less than D2, and exist an adjacent equipment can as be used for the two equipment based on the
The relay communication of three equipment, the then repeater mode based on third equipment are triggered, and property more better than other patterns is realized with this
Energy.In addition, if two desired F-UE are moved slowly and their distance is more than D2 but is less than D3 or their distance
No more than D2, but at least one equipment does not support D2D and repeater mode, then uses local distributed coordination pattern.If this
Ground distributed coordination pattern cannot provide the distance between expected performance or two desired F-UE and be more than D3, Huo Zhesuo
The content of transmission comes from Cloud Server, then triggers global cloud transmission mode.
Claims (2)
1. the mist counting system framework under a kind of environment of internet of things, which is characterized in that including：Mist under environment of internet of things calculates body
" four kinds of cloud+application layers " formula of system structure is laid out and four kinds of transmission modes,
Cloud, centralized control cloud, distributed logic communication cloud, distributed logic storage cloud and Internet of Things are communicated and stored i.e. in global set
Net application layer；
D2D repeater modes, Local-distributed coodination modes, global cloud transmission mode and HPN patterns；
The distributed logic communication cloud is made of multiple distributed base stations, by between multiple distributed base stations at cooperation
Reason reaches the overload of release leading portion link, mitigates the effect being lined up with transmission latency；
Distributed logic storage cloud is made of the controlled users equipment in access mist counting system framework；Centralized control cloud is located at object
In networking monitoring node, and cloud cloud computing central server is communicated and stored in global set and is constituted；
Distributed logic communication cloud is not only integrated with preceding radio frequency, and be integrated with the processing of local distributed collaboration radio signal and
Cooperative radio resource management technical functionality, and distributed logic storage cloud is responsible for being locally stored in edge device and high speed is slow
It deposits；Centralized control cloud is used to serve as the effect of control platform, is responsible for downward stratus and assigns control signaling；
The varieties of clouds are communicated and stored in global set is similar to the cloud computing center server in traditional cloud computing, responsible and user equipment
With distributed base station transmission and interaction data, take on centrally stored and concentration communication function；
According to demand, the data received are selectively provided in internet of things application layer for final cloud computing center server
User；
Further include：
Terminating layer, network access layer, cloud computing layer and mist computation layer；The mist calculating that mist computation layer is evolved by distributed base station connects
Access point, what the smart machine in terminating layer and network access layer was formulated；In terminating layer, equipment in D2D patterns directly with phase
Adjacent equipment is communicated, and the mist without being evolved by distributed base station calculates the help of access point, if two potential pairings
The communication distance of equipment be more than D2D distance thresholds, then the repeater mode based on third party device will be triggered, to be set for the two
It is standby that communication is provided；
In network access layer, there are two kinds of edge communications entities：Internet of Things monitoring node and mist calculate access point.Object
Networking monitoring node seamless is covered for transmitting whole control signaling, and for what the equipment of high-speed mobile provided with basic bit-rates
Lid；Cloud computing layer is software definition, and centralization calculates and the attribute of caching；
All signal processing units work together in large-scale physics Base Band Unit pond, with the signaling that shared entire mist calculates, industry
Data of being engaged in and channel state information；
It accesses to controlled users apparatus self-adaptation mist to calculate in unlimited network, and according to the movement speed of user equipment, communication
Distance, position, quality of service requirement handle and select four kinds of transmission modes with cache capability：D2D repeater modes, part
Distributed coordination pattern, global cloud transmission mode and HPN patterns.
2. mist counting system framework as described in claim 1, which is characterized in that in D2D repeater modes, two user equipmenies
It is communicated with each other by D2D or the wireless relaying technique based on smart machine；Local distributed coordination pattern means controlled
User equipment accesses in adjacent distributed base station, and communicates and terminate herein, only uploads transmission result feedback；Global cloud passes
Defeated pattern means that all local distributed collaboration radio signal processing and cooperative radio resource management technical functionality are being distributed
It concentrates and realizes in formula base station, the controlled users equipment with high movement speed or in the covering cavity of distributed logic communication cloud
The Internet of Things monitoring node indicated by HPN patterns must be accessed.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810233063.XA CN108600310A (en) | 2018-03-21 | 2018-03-21 | A kind of mist counting system framework under environment of internet of things |
| PCT/CN2019/078905 WO2019179471A1 (en) | 2018-03-21 | 2019-03-20 | Fog computing architecture based on internet of things environment |
| JP2020537011A JP6959685B2 (en) | 2018-03-21 | 2019-03-20 | Fog computing architecture in IoT |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810233063.XA CN108600310A (en) | 2018-03-21 | 2018-03-21 | A kind of mist counting system framework under environment of internet of things |
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| Country | Link |
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| JP (1) | JP6959685B2 (en) |
| CN (1) | CN108600310A (en) |
| WO (1) | WO2019179471A1 (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109688597A (en) * | 2018-12-18 | 2019-04-26 | 北京邮电大学 | A kind of mist Radio Access Network network-building method and device based on artificial intelligence |
| CN109884587A (en) * | 2019-03-05 | 2019-06-14 | 北京工业大学 | A kind of wireless sensor network locating method calculating environment for mist |
| WO2019179471A1 (en) * | 2018-03-21 | 2019-09-26 | 南京邮电大学 | Fog computing architecture based on internet of things environment |
| CN110636141A (en) * | 2019-10-17 | 2019-12-31 | 中国人民解放军陆军工程大学 | Multi-cloud storage system based on cloud and mist cooperation and management method thereof |
| CN110989374A (en) * | 2019-11-21 | 2020-04-10 | 青岛优康智能科技有限公司 | Whole-house intelligent home control method and system based on fog calculation |
| CN112153795A (en) * | 2020-09-18 | 2020-12-29 | 中国科学院深圳先进技术研究院 | Control method and system for execution equipment |
| CN113273162A (en) * | 2019-05-23 | 2021-08-17 | Oppo广东移动通信有限公司 | Communication method and device and network architecture |
| WO2022100433A1 (en) * | 2020-11-12 | 2022-05-19 | 珠海许继芝电网自动化有限公司 | Method for accessing low-voltage load in internet of things power distribution |
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| US20170048308A1 (en) * | 2015-08-13 | 2017-02-16 | Saad Bin Qaisar | System and Apparatus for Network Conscious Edge to Cloud Sensing, Analytics, Actuation and Virtualization |
| CN106888257A (en) * | 2017-02-22 | 2017-06-23 | 西安电子科技大学 | The storage resource distribution method of mist node in radio communication |
| CN107333281B (en) * | 2017-05-15 | 2019-08-20 | 北京邮电大学 | Mobile computing unloads cooperative control system and method |
| CN108600310A (en) * | 2018-03-21 | 2018-09-28 | 南京邮电大学 | A kind of mist counting system framework under environment of internet of things |
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2018
- 2018-03-21 CN CN201810233063.XA patent/CN108600310A/en not_active Withdrawn
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2019
- 2019-03-20 JP JP2020537011A patent/JP6959685B2/en active Active
- 2019-03-20 WO PCT/CN2019/078905 patent/WO2019179471A1/en active Application Filing
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| WO2019179471A1 (en) * | 2018-03-21 | 2019-09-26 | 南京邮电大学 | Fog computing architecture based on internet of things environment |
| CN109688597A (en) * | 2018-12-18 | 2019-04-26 | 北京邮电大学 | A kind of mist Radio Access Network network-building method and device based on artificial intelligence |
| CN109884587A (en) * | 2019-03-05 | 2019-06-14 | 北京工业大学 | A kind of wireless sensor network locating method calculating environment for mist |
| CN113273162A (en) * | 2019-05-23 | 2021-08-17 | Oppo广东移动通信有限公司 | Communication method and device and network architecture |
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| WO2022100433A1 (en) * | 2020-11-12 | 2022-05-19 | 珠海许继芝电网自动化有限公司 | Method for accessing low-voltage load in internet of things power distribution |
| CN114629931A (en) * | 2020-12-10 | 2022-06-14 | 桂林理工大学 | Biogas engineering production monitoring and control system construction method based on cloud and mist collaborative computing and Internet of things communication technology |
| CN116056259A (en) * | 2023-01-09 | 2023-05-02 | 深圳市泽信通建设有限公司 | Environment-friendly energy-saving roadside communication base station based on Internet of things interaction |
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| WO2019179471A1 (en) | 2019-09-26 |
| JP2021512525A (en) | 2021-05-13 |
| JP6959685B2 (en) | 2021-11-05 |
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